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Article

In-Depth Characterization of the Volatile Aroma Profile and Other Characteristics of White Wine Produced by Sequential Inoculation with a Lachancea thermotolerans Starter Yeast Strain

1
Institute of Agriculture and Tourism, Karla Huguesa 8, 52440 Poreč, Croatia
2
Metabolomics Unit, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Edmund Mach 1, 38098 San Michele all’Adige, Italy
*
Author to whom correspondence should be addressed.
Fermentation 2024, 10(10), 515; https://doi.org/10.3390/fermentation10100515
Submission received: 13 September 2024 / Revised: 7 October 2024 / Accepted: 8 October 2024 / Published: 10 October 2024
(This article belongs to the Special Issue Wine and Beer Fermentation)

Abstract

The yeast Lachancea thermotolerans has the ability to produce notable amounts of lactic acid and reduce alcoholic strength in fermentation, so it has a considerable potential for mitigating negative impacts of climate changes in winemaking. In this study, a treatment with L. thermotolerans and Saccharomyces cerevisiae in sequential inoculation was compared to a control S. cerevisiae monoculture fermentation of Malvazija istarska (aka Malvasia Istriana) white grape must. Standard physico-chemical parameters of the obtained wines were determined by the OIV methods. Targeted (GC/FID and GC/MS) and untargeted (GC×GC/TOF-MS) gas chromatographic techniques were combined for the analysis of volatile compounds. Phenolic compounds were analyzed by UPLC/QqQ-MS/MS, and proteins by RP-HPLC-DAD, while a sensory analysis of wines was performed by a panel of trained and certified tasters. L. thermotolerans co-fermentation treatment increased the concentration of lactic acid and decreased alcoholic strength. L. thermotolerans increased the concentrations of geraniol, β-ionone, isobutanol, isobutyric acid, ethyl isobutyrate, several major acetates, ethyl lactate, and diethyl succinate, followed by many minor compounds. This wine also contained more hydroxycinnamoyl tartrates, while control S. cerevisiae wine had higher levels of free hydroxycinnamates. The effects on PR proteins were minor. L. thermotolerans co-fermentation slightly enhanced the sensory perception of tropical fruit, herbaceous, tobacco, and buttery odor notes, as well as fullness of body. With the largest number of identified volatile compounds up to date and other results obtained, this study contributes to the better understanding of oenological and especially aromatic potential of L. thermotolerans in white wine production.

1. Introduction

The winemaking community is facing many challenges connected with climate changes that affect viticulture and viniculture practices in many ways. The warming effect and consequent increase in temperature and occurrence of extreme weather, together with changes in rainfall amounts, change the short- and long-term climate structure. Among other consequences, new viniculture regions are emerging in countries of colder parts of Europe and America, while in many traditional grape-growing regions, earlier maturation results in grapes and wines with increased sugar and alcohol contents, respectively, at the same time lacking in acidity, contributing to altered and even unacceptable sensory profiles [1]. The number of scientific studies dealing with novel approaches to mitigate the mentioned negative effects of climate changes on wine quality is growing constantly. Some of these include the reduction of potassium ions that contribute to loss of acidity by sedimentation of tartrates, particular filtration techniques to reduce the initial concentration of sugars in grape must, as well as dealcoholization of wine to decrease its alcohol level [2]. Special attention is focused on particular non-Saccharomyces yeasts as a potential solution for some of the abovementioned issues, since their use can significantly modulate the composition of wine. One such yeast is Lachancea thermotolerans, which inhabits different environments, such as grapes. Alongside its tolerance of high osmotic pressure [3], it has a moderate fermentative capacity and ethanol tolerance of around 5–9 vol % [4], so it has to be used in sequential inoculation or co-inoculation with Saccharomyces cerevisie or other strongly fermentative non-Saccharomyces yeasts, such as Schizosaccharomyces pombe or Torulaspora delbrueckii [5,6,7]. Lachancea thermotolerans has a special ability to synthesize L-lactic acid from sugars by the action of lactic acid dehydrogenase (LDH) enzymes during alcoholic fermentation and thus simultaneously decrease the production of ethanol [8], which is a feature that can be exploited to mitigate the negative effects of overripe grapes. Metabolic pathway of L-lactic acid synthesis is still not distinguished in detail, but certain studies showed a huge phenotypic divergence regarding lactic acid production among various investigated L. thermotolerans strains [9]. The activity of LDH enzymes is coded by three genes, Ldh1, Ldh2, and Ldh3 [3]. When comparing the expression of the Ldh genes of high- and low-lactate-producing strains, Sgouros et al. [10] observed that only Ldh2 was up-regulated in high-lactate-producing strains, while other Ldh genes were expressed at a similar level in both low- and high-lactate-producing strains. Given that lactic acid production is highly L. thermotolerans strain-dependent, wide ranges of increases in its concentrations were reported as a result of its activity, from 0 to 16 g/L [11,12,13]. Volatile acidity is another important oenological parameter that can be affected by the activity of particular L. thermotolerans strains, with the consummation of acetic acid in aerobic conditions as one of the proposed mechanisms [14]. Comitini et al. [15] observed a reduction in volatile acidity for about 50% after fermentation with pure L. thermotolerans culture in comparison with S. cerevisiae fermentation, while Gobbi et al. [16] reported a decrease in volatile acidity of 0.25 g/L after L. thermotolerans sequential inoculation. Some previous studies reported a reduced concentration of acetaldehyde in fermentation with L. thermotolerans in comparison with pure S. cerevisiae [11,17,18]. Glycerol production may also be enhanced by co-fermentation with L. thermotolerans and S. cerevisiae compared to S. cerevisiae fermentation in monoculture [5,19].
Lachancea thermotolerans, like other non-Saccharomyces yeasts, significantly affects the volatile aroma profile, which is one of the most important features that determines wine quality and distinctiveness. According to their origin, volatile compounds are often classified into varietal, fermentation, and aging aromas [20]. Varietal aroma compounds derive from grapes and are later transformed during pre-fermentation processes and fermentation. This class includes mainly terpenoids and norisoprenoids, while certain grape cultivars may also contain significant amounts of thiols and methoxypyrazines. The fermentation process yields numerous compounds, with a key impact on the aroma of all wines in general, including higher alcohols, fatty acids, and especially esters. Besides modulating the initial composition, the wine-aging process can produce particular other compounds and, in this way, further affect the volatile profile of wine. Several studies showed significant effects of the use of L. thermotolerans in fermentation on volatile aroma profile of wine, with strain-specific impacts, as well as the impact of inoculation timing. For example, in sequential fermentation, this species was shown to be able to increase the levels of particular higher alcohols and esters and decrease aldehydes and certain fatty acids [21]. Hranilović et al. [12] reported about higher production of isobutyric acid and ethyl esters in wines produced by sequentially inoculated L. thermotolerans, the same as Hranilović et al. [19] and Benito et al. [17] observed for ethyl lactate and isobutanol, respectively, and Vaquero et al. [22] for 1-propanol. Despite several valuable reports, the aromatic potential of L. thermotolerans has still not been distinguished well, probably because of the limited number of aromatic compounds that can be determined by conventional analytical techniques which have been mostly used in studies so far. In this way, many potentially important effects and compounds remained undiscovered. In this study, together with conventional gas chromatographic techniques, comprehensive untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) was used to analyze the volatile aroma potential of L. thermotolerans in detail and compare it with that of an S. cerevisiae control. Two gas chromatographic columns with stationary phases of different polarity and different lengths were used, connected with a modulator which transfers the effluent from a primary column to additional separation in a shorter secondary column. Application of this technique results in mass spectra without interference and enhanced sensitivity and, consequently, a much larger number of identified volatile compounds [23,24]. Besides volatile compounds, this study addressed the repercussions of fermentation with L. thermotolerans on other important wine components, such as phenols and pathogenesis-related proteins which were investigated from this aspect poorly [25] or not at all up to date, respectively.
The aim of this study was to significantly deepen the level of knowledge about the influence of co-fermentation with Lachancea thermotolerans on the chemical composition of white wine. In addition to basic physico-chemical parameters and evaluation of sensory quality, the focus was especially directed towards detailed characterization of the composition of volatile aroma compounds using the currently most advanced analytical techniques, such as GC×GC/TOF-MS, as well as towards the first findings on the influence of L. thermotolerans on phenols and proteins originating from grapes. The experiment was performed with Malvazija istarska (Vitis vinifera L.) white grape must, which, in certain terroirs and growing seasons, results in wines with low acidity and high alcohol content, so the results may also have a practical significance.

2. Materials and Methods

2.1. Preparation of Yeast Inoculum

Lachancea thermotolerans (Levulia® Alcomeno) (LEV) was purchased from AEB s.p.a., (Brescia, Italy) and S. cerevisiae (Lalvin EC1118®) (SCE) was purchased from Lallemand Inc. (Montreal, QC, Canada). The yeasts were grown from rehydrated cultures on YPD plates (1% yeast extract, 2% peptone, 2% glucose, and 2% agar) at 28 °C. After three days of incubation, single colonies were transferred into YPD broth (50 mL in 100 mL flasks) for overnight incubation at 24 °C and stirring at 120 rpm to reach concentrations around 108 cells/mL. Commercially available pasteurized grape juice (diluted at 50:50 (v/v) with deionized water to 100 mL in 300 mL flasks) was inoculated with a portion of fermenting YPD broth at 107 cell/mL and stirred overnight for additional incubation (24 °C and 120 rpm). Inoculation of grape juice from the experiment was performed directly from the liquid cultures. Lachancea thermotolerans was inoculated at 2 × 106 cells/mL, and when the alcohol level reached 2.0% vol., sequential inoculation of S. cerevisiae was performed at 1 × 106 cells/mL (LEV treatment). Saccharomyces cerevisiae, as a control, was inoculated in monoculture at 2 × 106 cell/mL (SCE control treatment). Cell density was determined by measuring optical density at 600 nm (OD600), using a Cary 50 UV/Vis spectrophotometer (Varian Inc., Harbor City, CA, USA).

2.2. Vinification

The grapes of Malvazija istarska (Vitis vinifera L.), the most important native white grape cultivar in Croatia, were handpicked from the experimental vineyard of the Institute of Agriculture and Tourism in Poreč, Istria, Croatia. All the equipment was carefully and thoroughly sanitized before use. The grapes (3280 kg) were destemmed, crushed, and pressed immediately after harvest using a closed-type pneumatic press of 500 L capacity with the pressures of 2 × 0.5 bar and 1 × 0.8 bar (Letina Inox d.o.o., Čakovec, Croatia). The obtained juice was sulfited and cold-settled with the aid of Endozym Rapid pectolytic enzymes at 2 g/hL (AEB s.p.a. Brescia, Italy) for 48 h at 10 °C. The grape must, after settling (2080 L), had a total acidity of 4.7 g/L, pH of 3.41 and 22.1 Brix°. Total acidity was adjusted by adding 1.3 g/L of tartaric acid to obtain the concentration of 6 g/L; after the addition, the pH was set to 3.27. A portion of the homogenized must was distributed in 5 L demijohns equipped with an airlock and inoculated to start the fermentation, as described above. All fermentations were performed at 17 °C in triplicates. After 36 h, the grape must was supplemented with diammonium phosphate (Corimpex Service Srl, Romans d’Isonzo, Italy) at 30 g/hL. Sugar concentration was monitored daily by a portable density meter DMA 35 (Anton Paar, Graz, Austria). Control fermentation SCE lasted 23 days, while LEV fermentation lasted 27 days (reducing sugars < 4.0 g/L). After fermentation, wines were racked and left to spontaneously settle for 3 weeks, and then, after another racking, samples were taken for analysis. The concentration of free SO2 was tracked continuously during the entire process and adjusted to 30 mg/L via the addition of potassium metabisulfite after fermentation, as well as before and after racking, and prior to sampling, if necessary.

2.3. Analysis

2.3.1. Standard Oenological Parameters

Standard physico-chemical parameters: Alcoholic strength by volume, total dry extract, total acidity, volatile acidity, and pH were determined according to the OIV methods [26]. Analysis of organic acids and glycerol was performed by high-performance liquid chromatography (HPLC) using an Agilent Infinity 1260 system equipped with a G1311B quaternary pump, a G1329B autosampler, a G1316A column oven, a G4212B DAD detector (for analysis of organic acids), and a G7162A RID detector (for analysis of glycerol) (Agilent Technologies, Santa Clara, CA, USA). Sample aliquots of 0.5 mL were diluted in 1.0 mL of ultrapure water, filtered through 0.45 μm PTFE filters, and then 10 μL was injected onto an Agilent Hi-Plex H column (300 mm × 7.7 mm, particle size 8 μm) with a PL Hi-Plex H guard (5 mm × 3 mm) (Agilent Technologies). The eluent used was 4 mM sulfuric acid with the flow rate of 0.5 mL/min at 70 °C. UV/Vis chromatograms were recorded at 210 nm. RID flow cell was maintained at 50 °C during analysis. Comparison of retention times and UV/Vis spectra to those of pure standards was used for identification, while quantification was performed using calibration curves. Standard solutions were prepared in 13 vol % of ethanol and pH 3.3.

2.3.2. Major Volatile Aroma Compounds

Direct injection gas chromatography with flame-ionization detection (GC/FID) was performed to analyze acetaldehyde, ethyl acetate, methanol, and major higher alcohols. A Varian 3350 GC (Varian Inc., Harbor City, CA, USA) was equipped with an Rtx-WAX capillary column (60 m × 0.25 mm i.d. × 0.25 μm d.f.) (Restek, Belafonte, PA, USA). Split ratio of 1:20 was applied. Prior to quantification using calibration curves, internal standard 1-pentanol was used for normalization. Other major volatile compounds were extracted by headspace solid-phase microextraction (HS-SPME) using a divinylbenzene/Carboxen/polydimethylsiloxane fiber (DVB/CAR/PDMS; StableFlex, 50/30 μm, 1 cm; Supelco, Bellafonte, PA, USA), and the analysis was carried out by GC/MS using a Varian 3900 GC coupled to a Saturn 2100T ion trap MS (Varian Inc.). The column used was the same as in the GC/FID analysis. Operation conditions and identification, quantification, and validation parameters were previously described by Lukić et al. [23].

2.3.3. Minor Volatile Compounds

Minor volatile aroma compounds were extracted via HS-SPME, using a DVB-CAR-PDMS fiber (StableFlex, 50/30 μm, 2 cm; Supelco, Sigma Aldrich, Milan, Italy). The samples were injected in splitless mode by a Gerstel MPS autosampler (GERSTEL GmbH & Co. KG, Mülheim an der Ruhr, Germany) and analyzed via GC×GC/TOF-MS, using an Agilent 7890N GC (Agilent Technologies) connected to a LECO Pegasus IV time-of-flight MS (TOF-MS) (Leco Corporation, St. Joseph, MI, USA). The system was equipped with two columns of different dimensions and polarity connected by a modulator. The first-dimension column (30 m × 0.25 mm × 0.25 μm d.f. VF-WAXms) (Agilent Technologies) was held at 40 °C for 4 min, then increased to 250 °C at 6 °C/min, and then maintained at 250 °C for 5 min. The second-dimension column (1.5 m × 0.15 mm × 0.15 μm Rxi 17Sil MS) (Restek) was maintained at temperatures of 5 °C higher than those applied for the first-dimension column throughout the analysis. Helium carrier gas flow rate was 1.2 mL/min. To acquire mass spectra in the 40–350 m/z range, EI mode with 70 eV was used. Baseline correction, chromatogram deconvolution, and peak alignment were conducted by LECO ChromaTOF software version 4.32 (Leco Corporation). Other operation conditions and identification and quantification parameters were reported previously by Carlin et al. [24] and Lukić et al. [23].

2.3.4. Phenolic Compounds

Phenolic compounds were analyzed by ultra-performance liquid chromatography coupled with triple-quadrupole mass spectrometry (UPLC/QqQ-MS/MS). An Acquity UPLC system, connected to a Xevo TQ MS system with an ESI source, was employed for this purpose (Waters Corporation, Milford, MA, USA), according to the method by Vrhovsek et al. [27]. The samples were filtered through 0.2 μm PTFE filters and injected by an autosampler onto a reverse phase Acquity HSS T3 column (100 mm × 2.1 mm, 1.8 μm) (Waters). Two mobile phases, water and acetonitrile, both containing 0.1% (v/v) formic acid, were employed. The specific multistep linear solvent gradients, conditions for MS/MS detection utilizing multiple reaction monitoring (MRM), and quantification details were described previously [27,28]. Data processing was performed using MassLynx 4.1 and Target Lynx 4.1. software (Waters Corporation).
Total phenolic content was determined using the Folin–Ciocâlteu colorimetric method. Cary 50 UV/Vis spectrophotometer (Varian Inc.) was used to measure the absorbance at 765 nm. The results were reported in mg/L of gallic acid equivalents (GAEs).

2.3.5. Analysis of Pathogenesis-Related (PR) Proteins and Determination of Protein Stability

The analysis of PR proteins was conducted using reversed-phase high-performance liquid chromatography (RP-HPLC), following the methods established by Marangon et al. [29] and Van Sluyter et al. [30]. The Agilent Infinity 1260 system (Agilent Technologies) was the same as for the analysis of organic acids and glycerol. Prior to injection, the samples were filtered through 0.45 μm PTFE filters, and 100 μL of each sample was injected into a C8 column (4.6 mm × 250 mm, particle size 5 μm, Vydac 208TP54) with a C8 guard (4.6 mm × 5 mm, particle size 5 μm, Vydac 208GK54), and the DAD detector was used for detection at 210 nm under conditions described previously [31]. The two solvents were A, 0.1% (v/v) trifluoroacetic acid (TFA) in 80% acetonitrile; and B, 0.1% TFA in 8% acetonitrile, using the gradient program reported in a previous study [31]. The flow was set at 1 mL/min at room temperature. Thaumatin-like proteins peaks were eluted between 9 and 12 min, while chitinases were eluted between 18.5 and 24.5 min [29]. The concentrations of PR proteins were determined using a calibration curve created with thaumatin from Thaumatococcus daniellii (Sigma, St. Louis, MO, USA), assuming a relative response factor equal to one.
Bentonite doses to achieve protein stability of wines were determined to the nearest 10 g/hL after testing with a variety of doses ranging from 50 to 200 g/hL. Increasing bentonite doses were added to the aliquots of wine in 100 mL glass cylinders, and the standard heat stability test, which included filtration of the sample, heating, and cooling, was applied [32,33], as described in detail in previous studies [31,34]. The minimal dose required for complete protein stabilization was defined as the amount at which the difference in haze produced, measured in nephelometric turbidity units (NTU), between a heated sample and an unheated control was less than 2 NTU. These measurements were performed using a nephelometric turbidity meter Hanna Instruments HI 83749 (Padova, Italy).

2.3.6. Sensory Analysis

The quantitative descriptive sensory analysis was performed by a panel of five trained and certified tasters (three females and two males aged between 30 and 50); a majority of them were members of the Croatian Enological Society and with extensive experience in sensory analysis of Malvazija istarska wine. The sensory panel is accredited according to the EN ISO/IEC 17025:2017 standard, (“General requirements for the competence of testing and calibration laboratories”) [35] for organoleptic (sensory) testing of wines, using the method prescribed by the Ordinance on Wine and Fruit Wine Sensory Testing from the “Official Gazette” No. 106/04, with all amendments concluding No. 1/15 [36], which was the official method for the assessment of wine sensory quality for release on the Croatian market at the time when the study was performed. Before sensory analysis, several preliminary training tests were performed. Qualitative (selection of descriptors) and quantitative (intensity of perception) criteria of the tasters were attuned by tasting representative samples of Malvazija istarska wine. Specific conditions were maintained to control and minimize the influence of any external elements, including noise, visual stimulation, and ambient odor. Wine samples stored at 11 °C were served in random order in standard wine-tasting glasses (ISO 3591:1977) [37] at room temperature of 20 °C. The tasters used a 10-point scale to rate the aroma or taste intensity of each descriptor (0–10, from not perceptible (0) to strongly perceptible (10)). The tasters also evaluated the varietal typicity of the investigated Malvazija istarska wines based on their experience using a 10-point structured scale (0–10; not typical (0) to very typical (10)). The 100-point OIV method was also applied to evaluate the overall quality of the produced wines.

2.4. Statistical Analysis

One-way analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) test (p < 0.05) were used to determine statistically significant differences between the two treatments (n = 3). ANOVA was performed with Statistica v. 13.2 software (StatSoft Inc., Tulsa, OK, USA). Hierarchical clustering analysis was performed by MetaboAnalyst v. 6.0 (http://www.metaboanalyst.ca, accessed on 20 August 2024).

3. Results and Discussion

3.1. Standard Oenological Parameters

Lachancea thermotolerans has an unusual and useful ability to partially convert fermentable sugars into L-lactic acid instead of ethanol during alcoholic fermentation [3]. In this study, as reported in Table 1, LEV wine had a mildly but significantly lower ethanol content (12.9 vol %) and increased concentration of L-lactic acid (0.86 mg/L) in comparison with SCE control wine (13.1 vol % and 0.08 mg/L, respectively). The increase in lactic acid concentration did not affect total wine acidity with a statistical significance, although a higher level was noted in LEV wine. Benito [11] reported about the changes in total wine acidity from 0 g/L to 5 g/L depending on the concentration of L-lactic acid produced as a result of L. thermotolerans activity, while the highest recorded concentration of lactic acid formed by L. thermotolerans under oenological conditions exceeded 16 g/L [13]. Hranilović et al. [8] observed a dichotomy between the performances of particular L. thermotolerans strains, with decreases in pH values from up to 0.5 units as a result of increased concentration of lactic acid on one side to concentrations comparable to S. cerevisiae control on the other. The performance of L. thermotolerans in lactic acid production and ethanol reduction was shown to be significantly affected by fermentation matrix and conditions. For example, the same strain under the same inoculation regime reduced the alcoholic strength by 1.6 vol % in sterile and only by 0.3 vol % in non-sterile conditions [10]. In this study, LEV wine had significantly increased the total dry extract without reducing sugars. Together with the content of alcohol, total dry extract can affect the viscosity of wine that contributes to the fullness of its body [38]. No significant difference in glycerol concentration was observed between the two investigated wines, although the concentration determined in LEV fermentation was slightly higher. Such a result was in line with the findings reported by Snyder et al. [39], Porter et al. [5], and Benito et al. [17], who noted a higher production of glycerol by a L. theromotolerans strain in sequential fermentation, although, in some cases, without a significant difference when compared to S. cerevisiae. In a recent study, no significant differences in glycerol concentrations were achieved by sequential inoculation and co-inoculation with L. thermotolerans in comparison to a S. cerevisiae control, although significant differences between different L. thermotolerans strains were observed [8].

3.2. Volatile Aroma Compounds

In order to investigate the volatile aroma potential of the investigated L. thermotolerans strain, direct-injection targeted GC/FID and targeted GC/MS were combined with untargeted GC×GC/TOF-MS analysis. Three hundred seventy-three major and minor volatile aroma compounds were identified or tentatively identified, a number not reachable by conventional GC techniques alone. Conventional GC is based on the separation using a single column, while GC×GC uses two columns connected with a modulator, which collects the effluent from the first column every few seconds and focuses collected fractions into the secondary column, allowing an additional separation due to different characteristics of the stationary phases and column temperatures. Such a system ensures higher separation efficiency, enhanced sensitivity, and clearer mass spectra without interference. The results for each chemical class of volatile aroma compounds were sorted into separate tables in descending order based on their F-ratio values determined by one-way ANOVA; that is their differentiation potential (Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12 and Table 13).

3.2.1. Hydrocarbons

In the group of hydrocarbons (Table 2), 3-methylene-4-vinylcyclohex-1-ene and cis-2-methyl-7-octadecene had significantly higher concentrations in SCE wine. Trans,trans-2,6-dimethyl-1,3,5,7-octatetraene showed a tendency towards having a higher concentration in LEV wine, although without a significant difference (Table 2).
Table 2. Concentrations (μg/L) of hydrocarbons found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 2. Concentrations (μg/L) of hydrocarbons found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
HY13-Methylene-4-vinylcyclohex-1-eneMS1672-11.1950.053 ± 0.017 a0.017 ± 0.007 b
HY2cis-2-Methyl-7-octadeceneMS1866-11.1530.141 ± 0.014 a0.096 ± 0.019 b
HY3AzuleneMS, LRI175417467.2932.25 ± 0.201.83 ± 0.18
HY4trans,trans-2,6-Dimethyl-1,3,5,7-octatetraeneMS, LRI145614601.2793.70 ± 0.3564.34 ± 0.91
HY51-TetradeceneMS, LRI147714440.3932.69 ± 0.272.79 ± 0.06
HY6PentadecaneMS, LRI150315000.1081.04 ± 0.061.01 ± 0.19
HY71,3,5,5-Tetramethyl-1,3-cyclohexadiene ‡MS140513700.0590.427 ± 0.0190.445 ± 0.129
HY8trans,cis-2,4-DodecadieneMS, LRI1604-0.0430.608 ± 0.1420.628 ± 0.086
Abbreviations: Co.—compound’s code. ID—identification of compounds: MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.2. Terpenoids

Terpenoids, normally found in wines, originate from grapes mainly as odorless, potentially volatile glycosidically bound (up to 95% of the total) or polyhydroxylated precursors, as well as free volatile terpenoids. To influence wine aroma, bound molecules have to be enzymatically and/or chemically cleaved to release volatile aglycons. Terpenoids are primarily affected by cultivar and growing condition; however, different yeast species and strains show varying enzymatic activities and may affect the release of volatile, odoriferous aglycons to different extents and proportions during fermentation, in this way affecting their concentration and impact on the aroma of finished wines.
Cis,trans-farnesol, geraniol, and menthol had a significantly higher concentration in LEV compared to SCE wine (Table 3). Zhang et al. [40] reported an increase in geraniol concentration in wines produced by sequential inoculation with commercial and indigenous L. thermotolerans strains with respect to a S. cerevisiae control. The majority of the other identified terpenoids showed lower concentration in LEV wine or no significant difference between the two investigated wines. The concentrations of major monoterpenols (other than geraniol), which are generally considered to exhibit a more significant influence on wine aroma, such as linalool, citronellol, α-terpineol, nerol, and hotrienol, did not differ between the treatments. Such results were in line with previous research published by Dutraive et al. [41] and Zhang et al. [40] in which no effect of L. thermotolerans was observed regarding linalool, citronellol, α-terpineol, and total terpenes concentrations. Escribano-Viana et al. [42] reported about the low β-glucosidase activity of various L. thermotolerans strains, suggesting a weaker impact on terpenoid concentrations in the corresponding wines.
Table 3. Concentrations (μg/L) of terpenoids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 3. Concentrations (μg/L) of terpenoids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
TE1trans-2-PinanolMS, LRI15201522151.8433.80 ± 0.08 a2.32 ± 0.19 b
TE2Terpenoid n.i. IMS1779-112.7630.587 ± 0.033 a0.346 ± 0.021 b
TE3EpoxyterpinoleneMS, LRI14921486112.4671.33 ± 0.05 a0.77 ± 0.08 b
TE4CitronellolS, MR, LRI1766176091.5161.15 ± 0.07 a0.58 ± 0.08 b
TE5Citronellyl acetateMS, LRI1666165985.7430.788 ± 0.088 a0.305 ± 0.022 b
TE6CarvoneMS, LRI1741174243.4320.167 ± 0.027 a0.06 ± 0.006 b
TE7trans-β-OcimeneS, MS, LRI1250125027.24711.34 ± 1.51 a5.30 ± 1.32 b
TE8CadaleneMS, LRI2227222626.2010.192 ± 0.027 a0.110 ± 0.006 b
TE9cis-CalameneneMS, LRI1841184021.1880.272 ± 0.029 a0.192 ± 0.007 b
TE10cis-AlloocimeneMS, LRI1382136919.3271.10 ± 0.09 a0.74 ± 0.11 b
TE11Neryl ethyl etherMS, LRI1482147716.8591.31 ± 0.07 a0.78 ± 0.21 b
TE12cis,trans-FarnesolMS, LRI2350235116.8180.112 ± 0.056 b0.394 ± 0.105 a
TE13Farnesene isomer IMS, LRI1672168515.5562.00 ± 0.25 a1.27 ± 0.21 b
TE14EstragoleMS, LRI1679167613.7270.139 ± 0.014 a0.099 ± 0.012 b
TE15p-Menth-1-en-9-alMS, LRI1622162913.1591.13 ± 0.05 a0.90 ± 0.09 b
TE16α-CurcumeneMS, LRI1785178212.0960.141 ± 0.027 a0.082 ± 0.011 b
TE17trans-AlloocimeneMS, LRI1403140011.9211.15 ± 0.16 a0.74 ± 0.13 b
TE18Farnesene isomer IIMS, LRI175417579.6100.243 ± 0.062 a0.118 ± 0.033 b
TE19α-OcimeneMS, LRI123512459.27910.10 ± 3.30 a4.13 ± 0.79 b
TE20GeraniolS, MS, LRI184718478.2890.98 ± 0.26 b1.46 ± 0.13 a
TE21MentholMS, LRI164116418.2460.83 ± 0.06 b1.04 ± 0.11 a
TE22LimoneneS, MS, LRI119311958.2204.90 ± 1.63 a2.12 ± 0.38 b
TE23cis-Furan linalool oxideS, MS, LRI144514487.8601.44 ± 0.09 a1.06 ± 0.21 b
TE24Nerol oxideMS, LRI147714737.8434.35 ± 0.28 a3.52 ± 0.43 b
TE25β-MyrceneS, MS, LRI116011597.6598.02 ± 3.103.00 ± 0.55
TE26Terpenoid n.i. IIMS1456-6.64447.12 ± 3.1330.50 ± 10.72
TE27Dihydrolinalyl acetateMS, LRI1531-6.0220.096 ± 0.0930.400 ± 0.194
TE28γ-TerpineneMS, LRI124512395.9612.69 ± 0.931.30 ± 0.33
TE29trans-Furan linalool oxideS, MS, LRI147114725.9480.556 ± 0.0370.487 ± 0.032
TE30α-CalacoreneMS, LRI192619284.8990.434 ± 0.0550.347 ± 0.04
TE31Geranyl acetoneMS, LRI186018563.9994.31 ± 0.393.29 ± 0.80
TE32CyclomyralS, MS, LRI1722-3.8551.21 ± 0.271.52 ± 0.03
TE33cis-OcimenolMS, LRI1691-3.1580.304 ± 0.0430.256 ± 0.019
TE344-TerpineolS, MS, LRI160416042.4750.907 ± 0.060.643 ± 0.284
TE35α-PhellandreneMS, LRI117411602.4030.300 ± 0.1360.170 ± 0.053
TE36cis-Rose oxideMS, LRI135813502.0350.224 ± 0.0400.180 ± 0.036
TE37α-TerpineolMS, LRI170417011.99114.30 ± 1.2315.57 ± 0.96
TE38NerolidolMS, LRI204020311.8610.502 ± 0.1760.644 ± 0.038
TE39α-BisaboleneMS, LRI173617401.6730.052 ± 0.0200.067 ± 0.007
TE40Ho-trienolMS, LRI161016121.63511.41 ± 1.269.81 ± 1.77
TE41Linalool ‡S, MS, LRI154215421.50230.04 ± 3.8933.01 ± 1.60
TE42DihydrolinaloolMS, LRI143514201.4932.14 ± 1.561.01 ± 0.32
TE43DihydromyrcenolMS, LRI146614551.3651.90 ± 0.911.27 ± 0.19
TE44BorneolMS, LRI171017141.1540.296 ± 0.0550.340 ± 0.044
TE45β-Pinene ‡MS, LRI114611451.0898.12 ± 0.678.62 ± 0.50
TE46Terpenoid n.i. IIIMS1207-1.0322.92 ± 0.683.36 ± 0.29
TE47Linalool ethyl etherMS, LRI132413310.86223.68 ± 4.7319.27 ± 6.73
TE48NerolS, MS, LRI180418010.8271.14 ± 0.231.26 ± 0.07
TE49Neryl acetateMS, LRI173117330.5570.408 ± 0.0310.381 ± 0.057
TE50Geranyl acetateMS, LRI176017590.0591.28 ± 0.151.26 ± 0.09
TE513-CareneMS, LRI115511590.0532.62 ± 2.352.29 ± 0.763
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.3. Norisoprenoids

Norisoprenoids in wine are mainly formed through biodegradation of carotenoids during pre-fermentation steps and fermentation. In this work, LEV wine showed a tendency towards higher concentration of an important odorant, trans-β-damascenone, although without a significant difference when compared to control SCE wine (Table 4). β-Damascenone is responsible for odours of stewed apple, dried plum, and honey. Another norisoprenoid with a high F-ratio, β-ionone, known for contributing with violet aroma in wine [43], was found in increased concentration in LEV wine. Particular other compounds from the group of norisoprenoids, such as an ionene isomer (n.i.), a vitispirane isomer, and 1,2-dihydro-1,5,8-trimethyl-naphthalene, as well as 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN) and trans-1-(2,3,6-trimethylphenyl)buta-1,3-diene (TPB), had lower concentrations in LEV than in control SCE wine. The differences observed possibly arose from differential activity of β-glycosidases in the two investigated yeasts, as well as their possible interaction with carotenoid cleavage oxygenases from grapes.
Table 4. Concentrations (μg/L) of norisoprenoids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 4. Concentrations (μg/L) of norisoprenoids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
NO1Ionene derivative n.i.MS1525156722.5070.111 ± 0.009 a0.034 ± 0.026 b
NO2Vitispirane isomer IIMS, LRI1537154314.4513.09 ± 0.24 a1.89 ± 0.49 b
NO3Ionene derivative n.i.MS1704-13.8500.154 ± 0.014 a0.102 ± 0.020 b
NO4β-CyclocitralS, MS, LRI1629163012.8660.313 ± 0.013 a0.269 ± 0.017 b
NO5β-Ionone ‡MS, LRI1916191512.5740.546 ± 0.054 b0.727 ± 0.070 a
NO61,2-Dihydro-1,5,8-trimethyl-naphthaleneMS, LRI1754175111.7281.84 ± 0.20 a1.15 ± 0.29 b
NO71,1,6-Trimethyl-1,2-dihydronaphthalene (TDN)S, MS, LRI1722172210.9200.173 ± 0.065 a0.025 ± 0.043 b
NO8trans-1-(2,3,6-Trimethylphenyl)buta-1,3-diene (TPB)MS, LRI1835183210.7800.477 ± 0.153 a0.166 ± 0.059 b
NO9Norisoprenoid n.i.MS1697-6.3300.730 ± 0.0540.479 ± 0.164
NO10Theaspirane isomerMS, LRI153615405.8211.33 ± 0.141.07 ± 0.12
NO11α-IoneneMS, LRI155915654.6470.428 ± 0.0700.243 ± 0.132
NO12Damascenone isomerMS1741-4.1270.152 ± 0.0180.122 ± 0.019
NO13trans-β-DamascenoneMS, LRI182918292.98221.65 ± 5.6928.19 ± 3.26
NO14α-Isomethyl ionone ‡MS, LRI183518481.3190.702 ± 0.0980.923 ± 0.318
NO15cis-β-DamascenoneMS, LRI177117740.3391.95 ± 0.372.11 ± 0.30
NO16Vitispirane isomer I ‡MS, LRI152115240.1991.15 ± 0.291.27 ± 0.34
NO17SafranalMS, LRI165416480.0820.202 ± 0.0170.198 ± 0.014
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.4. Carbonyl Compounds—Aldehydes and Ketones

As reported in Table 5, acetaldehyde, the most important wine volatile carbonyl yeast product was found in lower concentration in LEV than in SCE wine, which was in line with the results reported by Benito et al. [17], while Vaquero et al. [22] reported the opposite. When present at low levels in wine, its contribution is often associated with fruity notes, while at higher concentrations, it is reminiscent of nuts and overripe apple [44]. A lower concentration of heptanal was also determined in LEV wine. Isobutanal, on the other hand, occurred only in LEV wine.
The ketones produced during vinification are generally considered yeast species and strain-specific. In this work, significant differences between the two investigated wines were observed for almost all of the identified ketones. Apart from an increase in acetoin and 3-(acetoxy)-4-methyl-2-pentanone concentrations in LEV wine, majority of other ketones were found in higher concentrations in SCE wine. Vaquero et al. [22] observed an increased level of acetoin in wine fermented with L. thermotolerans yeast when compared to S. cerevisie, while Ciani et al. [18] observed the opposite. It is known that acetoin production exhibits a high degree of variability, depending on the specific yeast strain used in fermentation [6]. It can be formed through several pathways from pyruvic acid via intermediates such as acetaldehyde, butanedione, and α-acetolactate.
Table 5. Concentrations (μg/L if not otherwise indicated) of carbonyl compounds, aldehydes and ketones, found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 5. Concentrations (μg/L if not otherwise indicated) of carbonyl compounds, aldehydes and ketones, found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
Aldehydes
AD1HeptanalMS, LRI1184118799.0804.41 ± 0.33 a0.65 ± 0.57 b
AD2Acetaldehyde (mg/L) ¤S<110071431.33318.05 ± 1.65 a11.75 ± 1.04 b
AD3IsobutanalMS, LRI<11008333.9990.000 ± 0.000 0.134 ± 0.116
AD4DodecanalMS, LRI171617132.8261.24 ± 0.64 0.61 ± 0.06
AD5UndecanalS, MS, LRI160816101.2980.824 ± 0.931 0.212 ± 0.050
AD62-NonenalMS, LRI154315401.1910.583 ± 0.194 0.755 ± 0.193
AD7OctanalMS, LRI129412810.4140.282 ± 0.049 0.236 ± 0.113
AD8NonanalMS, LRI139914030.09016.10 ± 1.4917.78 ± 9.58
AD92,6,6-Trimethyl-1-cyclohexene-1-acroleinMS1933-0.0850.171 ± 0.008 0.174 ± 0.016
AD10DecanalS, MS, LRI150315040.0175.47 ± 0.55 5.26 ± 2.67
Ketones
KE12-NonanoneS, MS, LRI13921392379.548220.1 ± 5.6 a68.7 ± 12.3 b
KE22-HeptanoneMS, LRI11791181214.0554.82 ± 0.35 a1.67 ± 0.13 b
KE32-UndecanoneMS, LRI15981598192.4309.90 ± 0.76 a3.35 ± 0.31 b
KE4AcetoinS, MS, LRI1282128585.7938.78 ± 0.54 b12.41 ± 0.41 a
KE52-DodecanoneMS, LRI1710170929.3840.726 ± 0.07 a0.491 ± 0.026 b
KE62-DecanoneMS, LRI1498150320.4971.69 ± 0.10 a1.29 ± 0.11 b
KE7p-tert-ButylcyclohexanoneMS, LRI1641164513.6850.467 ± 0.030 a0.337 ± 0.053 b
KE83-(Acetoxy)-4-methyl-2-pentanoneMS1466-8.4700.332 ± 0.031 b0.404 ± 0.029 a
KE93-UndecanoneMS, LRI157015864.7380.329 ± 0.036 0.264 ± 0.037
KE101-Hydroxy-3-methyl-2-butanoneMS1450-2.2471.12 ± 0.08 1.04 ± 0.036
KE116-Methyl-5-hepten-2-oneMS, LRI134513430.0070.776 ± 0.08 0.768 ± 0.124
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.5. Alcohols

The concentration of the majority of alcohols with the highest F-ratio was significantly lower in LEV than in SCE wine, with the exception of cis-6-nonen-1-ol, 2-methyl-5-nonanol, 3-nonanol, 2-ethyl-2-(hydroxymethyl)-1,3-propanediol, and 6-methyl-5-hepten-2-ol (Table 6). LEV fermentation showed a tendency towards higher concentrations of some other minor alcohols, although without a significant difference. Among major alcohols, methanol and isobutanol were found in higher concentrations in LEV wine. Such a result for isobutanol was in line with previous findings by Vaquero et al. [22], while Hranilović et al. [8] reported variable concentrations of isobutanol produced by different L. thermotolerans strains under various inoculation regimes, although not significantly different from that found in control S. cerevisiae fermentation. 1-Propanol and isoamyl alcohol were found in lower concentrations in LEV than in SCE wine. The same trend for 1-propanol was reported by Vaquero et al. [22]. 1-Propanol, isobutanol, and isoamyl alcohol are known contributors to the aroma of all fermented alcoholic beverages. In total concentrations above 300 mg/L, they may have a negative influence with their medicinal and solvent-like odors [44]. 2-Phenylethanol, a carrier of a pleasant odor reminiscent of roses, was also found in lower concentrations in LEV than in SCE wine. The same was reported by Chen et al. [45], while Gobbi et al. [16] noticed an increased concentration in fermentation with L. thermotolerans. Hranilović et al. [8] observed variable concentrations of major higher alcohols in wines produced under sequential and co-inoculation regimes with different strains of L. thermotolerans; in some cases they were higher and in others lower than those found in control wine obtained via S. cerevisiae monoculture fermentation. The effects observed in this study suggest a different metabolism of higher alcohol amino acid precursors between L. thermotolerans and S. cerevisiae yeasts, while the discrepancies between different studies reveal apparent strain-specific effects, probably in interaction with other compositional characteristics and production conditions depending on the study. The concentrations of C6-alcohols, which are mainly formed via the degradation of lipids catalyzed by hydroperoxide lyase and lipoxygenase enzymes in pre-fermentation steps did not differ between the treatments (Table 6).
Table 6. Concentrations (μg/L, if not otherwise indicated) of alcohols found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤, targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡, and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 6. Concentrations (μg/L, if not otherwise indicated) of alcohols found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤, targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡, and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
AL12-HeptanolS, MS, LRI131913121693.3909.17 ± 0.05 a2.12 ± 0.29 b
AL22-NonanolS, MS, LRI152015181015.85769.54 ± 2.12 a15.87 ± 2.01 b
AL32-UndecanolMS, LRI17221723756.9585.27 ± 0.17 a1.22 ± 0.19 b
AL43-Ethoxy-1-propanolMS, LRI13771379194.42723.99 ± 2.87 a0.74 ± 0.29 b
AL51-HeptanolMS, LRI14561457192.08416.58 ± 0.54 a10.08 ± 0.61 b
AL6Isobutanol (mg/L) ¤S, MS, LRI10901098167.38914.49 ± 0,13 b26.13 ± 1.55 a
AL73-MethylpentanolS, MS, LRI13291322132.272144.7 ± 16.1 a35.9 ± 3.1 b
AL82-Phenylethanol (mg/L) ‡S, MS, LRI18911893106.21834.61 ± 2.05 a20.84 ± 1.08 b
AL91-Propanol (mg/L) ¤S-1035103.81123.53 ± 0.31 a18.50 ± 0.80 b
AL104-MethylpentanolMS, LRI13141309100.63954.87 ± 7.33 a12.27 ± 0.60 b
AL11Isoamyl alcohol (mg/L) ¤S, MS, LRI1229122993.326164.9 ± 1.3 a134.1 ± 5.4 b
AL121-OctanolMS, LRI1553155867.07234.09 ± 1.61 a23.33 ± 1.61 b
AL13cis-3-Octen-3-olMS1450145234.67521.70 ± 0.44 a17.27 ± 1.23 b
AL14cis-6-Nonen-1-olMS, LRI1716171418.1240.89 ± 0.04 b1.11 ± 0.08 a
AL152-Methyl-5-nonanolMS1575-15.9890.436 ± 0.015 b0.497 ± 0.022 a
AL163-Methyl-3-buten-1-olMS, LRI1245124413.8850.731 ± 0.096 a0.503 ± 0.044 b
AL171-PentanolMS, LRI1245124412.88612.59 ± 1.30 a9.09 ± 1.08 b
AL18cis-2-Hexen-1-ol ‡MS, LRI1416141311.08317.54 ± 0.91 a14.45 ± 1.33 b
AL191-DodecanolMS, LRI196819739.8061.90 ± 0.32 a1.30 ± 0.07 b
AL203-NonanolMS, LRI149214939.4020.367 ± 0.008 b0.400 ± 0.016 a
AL212-Ethyl-2-(hydroxymethyl)-1,3-propanediolMS1926-9.3530.200 ± 0.039 b0.275 ± 0.015 a
AL226-Methyl-5-hepten-2-olS, MS, LRI146114608.0530.154 ± 0.014 b0.194 ± 0.02 a
AL231-UndecanolMS, LRI186518716.7750.412 ± 0.095 0.254 ± 0.046
AL243-OctanolS, MS, LRI139213936.4921.20 ± 0.04 1.13 ± 0.03
AL251,4-ButanediolMS, LRI191819116.2511.11 ± 0.332.84 ± 1.15
AL26trans-3-Hexen-1-ol ‡MS, LRI136613616.18375.45 ± 2.49 68.08 ± 4.49
AL273,5-Dimethyl-4-heptanolMS, LRI1742-5.7620.316 ± 0.047 0.251 ± 0.005
AL28trans-2-Octen-1-olS, MS, LRI161516185.4711.66 ± 0.04 1.52 ± 0.09
AL292,3-Butanediol isomerS, MS, LRI157315764.078383.4 ± 33.3 339.7 ± 17.3
AL301-DecanolMS, LRI176617673.6725.83 ± 0.325.12 ± 0.56
AL312-Ethyl-1-hexanolMS, LRI148714902.93812.08 ± 2.47 19.61 ± 7.19
AL321-NonanolS, MS, LRI166016612.8563.73 ± 0.93 4.75 ± 0.49
AL33Methanol (mg/L) ¤S<10009112.79260.20 ± 1.7369.40 ± 9.38
AL343-Ethyl-4-methylpentan-1-olMS146615062.7050.246 ± 0.133 0.097 ± 0.084
AL351-Hexanol (mg/L) ‡S, MS, LRI135613571.7061.53 ± 0.0441.46 ± 0.08
AL361,3-PropanediolMS, LRI178517891.5300.460 ± 0.014 0.802 ± 0.479
AL37cis-3-Hexen-1-ol ‡S, MS, LRI138913891.44842.77 ± 2.01 46.16 ± 4.451
AL383-Ethyl-4-methylpentan-1-olMS150915060.9771.62 ± 0.10 1.54 ± 0.07
AL39cis-4-Decen-1-olMS, LRI179717970.2240.162 ± 0.036 0.147 ± 0.041
AL402,3-Butanediol isomerS, MS, LRI158715840.2094.07 ± 7.04 2.02 ± 3.23
AL412-DecanolMS, LRI161616210.1760.726 ± 0.086 0.677 ± 0.186
AL422-PhenoxyethanolMS, LRI214721440.0340.926 ± 0.768 0.837 ± 0.329
AL432-Methyl-2-buten-1-olMS, LRI131913200.0020.269 ± 0.038 0.268 ± 0.012
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.6. Acids

LEV wine was more abundant in isobutyric acid than SCE wine (Table 7). Saturated branched short-chain fatty acids are produced through the degradation of amino acids via the Ehrlich pathway [44], the same as their higher-alcohol analogues, so the results obtained for isobutyric acid and isobutanol (Table 6) indicated specific differences in valine metabolism among the two yeasts analyzed. Other particular branched-chain acids showed lower concentrations in LEV than in SCE wine. A number of minor acids were identified, but the differences in their concentration were not significant between the treatments. No significant differences were observed for the major linear medium-chain acids formed from acetyl-CoA through the fatty acid synthase (FAS) complex, such as hexanoic, octanoic, and decanoic acid, which are important contributors to wine aroma with their cheesy and fatty odors. A few previous studies reported a weaker production of fatty acids in co-fermentation with L. thermotolerans than in fermentation performed with Saccharomyces cerevisiae in monoculture [3,19,22].
Table 7. Concentrations (μg/L, if not otherwise indicated) of acids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 7. Concentrations (μg/L, if not otherwise indicated) of acids found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
AC12-Methylbutyric acidMS, LRI16751674140.47361.10 ± 2.96 a37.60 ± 1.74 b
AC2Isovaleric acidS, MS, LRI1672167570.105181.2 ± 16.8 a76.8 ± 13.5 b
AC3Isohexanoic acidMS, LRI1810180917.9140.393 ± 0.049 a0.249 ± 0.032 b
AC42-Methylpropenoic acidMS, LRI1697-16.2050.148 ± 0.021 a0.094 ± 0.009 b
AC5Isobutyric acidS, MS, LRI157015708.1011.95 ± 0.17 b2.57 ± 0.33 a
AC6Propanoic acidS, MS, LRI153715407.4075.02 ± 0.543.75 ± 0.60
AC7Tetradecanoic acidMS, LRI269626936.1250.635 ± 0.0980.494 ± 0.007
AC8Hexanoic acid (mg/L) ‡S, MS, LRI182418283.6756.74 ± 0.715.76 ± 0.52
AC9Heptanoic acidS, MS, LRI195419552.9224.63 ± 0.323.98 ± 0.57
AC10Undecanoic acidMS, LRI234623592.8330.039 ± 0.0290.010 ± 0.009
AC11Butyric acid ‡S, MS, LRI161716122.8291.46 ± 0.081.31 ± 0.13
AC122-Propenoic acidMS1641-2.1900.740 ± 0.0230.890 ± 0.174
AC139-Decenoic acidMS, LRI233023351.86113.41 ± 1.8011.29 ± 2.00
AC14Octanoic acid (mg/L) ‡S, MS, LRI204320421.6967.10 ± 0.966.21 ± 0.69
AC15Pivalic acidMS, LRI158115791.4861.73 ± 0.311.43 ± 0.29
AC162-Ethylhexanoic acidMS, LRI195319601.3213.71 ± 0.774.41 ± 0.73
AC173-Octenoic acidMS2102-0.7001.67 ± 0.791.21 ± 0.55
AC18Decanoic acid (mg/L) ‡S, MS, LRI225722580.4252.60 ± 0.452.34 ± 0.52
AC19Pentanoic acidS, MS, LRI174117510.3053.24 ± 0.213.39 ± 0.44
AC20Nonanoic acidS, MS, LRI216821680.05721.43 ± 8.1723.88 ± 15.82
AC21trans-2-Hexenoic acidMS, LRI196819670.0070.529 ± 0.0420.525 ± 0.086
AC224-Methyl-3-pentenoic acidMS1595-0.0041.50 ± 0.141.49 ± 0.44
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.7. Esters

Volatile esters, which are well-known contributors to the formation of the aroma and flavor character of wine, are mostly formed during fermentation and storage [44]. The results for esters identified in this study are presented in Table 8.
Ethyl esters are formed through several biosynthetic pathways, and it is considered that their concentrations in wine depend more on the precursor availability than on the activity of genes encoding the corresponding enzymes [46]. LEV wine had higher concentration of particular ethyl esters, including the ester of pyruvate, an important product of glycolysis and intermediate/precursor for the synthesis of volatile compounds [47], which could point to particular differences between L. thermotolerans and S. cerevisiae in the expression of genes that participate in the initial steps of yeast metabolism. LEV wine also contained increased amounts of certain esters with unknown sensory relevance, such as ethyl 3-hydroxyhexanoate, ethyl 9-decenoate isomers I and II, ethyl 3-hydroxybutyrate, ethyl 3-acetoxyoctanoate, ethyl hexanoate I and II, ethyl 2-butenoate, and ethyl 2-hexenoate II, as well as ethyl isobutyrate, an important contributor to wine aroma with its fruity odor. The increase in ethyl isobutyrate corresponded to several previous studies on L. thermotolerans [8,10,48] and was in line with the higher concentrations of its precursor formed in the Ehrlich pathway, isobutyric acid, in LEV wine (Table 7). The concentration of ethyl lactate, which is formed via the esterification of ethanol and lactic acid, was almost four times higher in LEV than in SCE wine as a direct consequence of the higher concentration of lactic acid observed in the former wine (Table 1). Such an outcome was in line with previous studies on L. thermotolerans co-fermentation [8,19]. Ethyl lactate can have an influence on wine aroma with its buttery notes when present in high concentrations. The concentrations of important esters formed through the Ehrlich pathway from their amino acid precursors, such as ethyl 2- and 3-methylbutyrate, carriers of fruity notes, were higher in SCE than in LEV wine, suggesting a difference in their metabolism between the yeasts. This was in line with the higher concentration of isoamyl alcohol in SCE wine (Table 6) and with the fact that the mentioned esters and alcohol are formed from the same amino acid precursors, leucine and isoleucine. Concentrations of major linear medium-chain ethyl esters, such as ethyl hexanoate, octanoate, and decanoate formed from acetyl-CoA within the FAS complex, did not significantly differ between the two treatments, although a tendency towards a higher concentration of ethyl hexanoate in SCE and ethyl decanoate in LEV wine was observed. Benito et al. [17] reported an increase in the total amount of ethyl esters after sequential fermentation with L. thermotolerans in comparison with S. cerevisiae monoculture, while Escribano-Viana et al. [6] reported the opposite after monoculture fermentation with this yeast compared to S. cerevisiae. Hranilović et al. [8] observed inferior levels of linear medium-chain ethyl ester obtained after sequential inoculations with L. thermotolerans, although particular strains produced quantities comparable to those found in S. cerevisiae control wine. Such discrepancies confirm that these effects are strain-specific, although different conditions among the studies probably also had an influence.
Important odoriferous acetates, such as ethyl, isobutyl, butyl, and especially isoamyl acetate, were found in higher concentration in LEV wine (Table 8). Contrary to ethyl esters, it was previously found that the production of acetates is more dependent on the expression of alcohol acetyltransferase genes than on precursor concentrations [46,49]. A minor acetate, 3-methylheptyl acetate, also showed an elevated concentration in LEV wine. Hranilović et al. [50] reported an increase in acetate ester levels after sequential fermentation with L. thermotolerans in comparison with S. cerevisiae in monoculture, as well as variable results with some strains exceeding and some being comparable to the levels obtained by S. cerevisiae control [8]. Escribano-Viana et al. [6] reported a decrease in the concentration of acetates as a consequence of L. thermotolerans activity. Control SCE wine contained higher concentrations of particular minor acetates and 2-phenethyl acetate, an important wine odorant (Table 8).
Isoamyl lactate and ethyl phenyl lactate were strongly influenced by LEV fermentation, and their concentrations were significantly increased compared to those observed in SCE control wine, thus confirming the dependence of the formation of its esters on the availability of lactic acid. The result for isoamyl lactate was in agreement with that obtained by Zhang et al. [25], who reported an increase in its concentration achieved by different inoculation ratios for sequentially inoculated L. thermotolerans followed by S. cerevisiae. For ethyl phenyl lactate, which could also be considered a marker of L. thermotolerans activity, no information was found in the literature published to date, probably because previous studies on this topic used conventional analytical techniques with limited compound identification capabilities. Hexyl propyl oxalate was also increased by LEV treatment, the same as two esters of succinic acid, ethyl butyl succinate and a major compound, diethyl succinate. Succinic acid was not determined in this study; however, a negative influence of L. thermotolerans co-fermentation on its concentration was determined in a previous study [8]. Vicente et al. [21] also reported an increase in diethyl succinate concentration in a fermentation with L. thermotolerans. Isobutyl hexanoate showed a tendency towards a higher concentration in LEV wine, the same as some esters of dicarboxylic acids, such as diethyl malonate, diethyl malate, and diethyl 2-hydroxyglutarate, derived from α-keto acids. A larger number of other esters were found in higher concentration in SCE wine, including esters of higher alcohols and fatty acids, as well as methyl hexanoate and diethyl glutarate.
Table 8. Concentrations (μg/L if not otherwise indicated) of ethyl esters, acetate esters, and other esters found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤, targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡, and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 8. Concentrations (μg/L if not otherwise indicated) of ethyl esters, acetate esters, and other esters found in Malvazija istarska white wines produced using different yeasts determined by targeted gas chromatography with flame-ionization detection (GC/FID) ¤, targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡, and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundIDLRIexpLRIlitF-RatioTreatment
SCELEV
Ethyl esters
EE1Ethyl propanoate ‡MS, LRI<10009492592.19526.25 ± 0.37 a13.61 ± 0.21 b
EE2Ethyl 3-methylbutyrate ‡S, MS, LRI10651065578.29312.04 ± 0.42 a5.27 ± 0.25 b
EE3Ethyl acetylacetateMS, LRI14621466261.1420.409 ± 0.037 a0.062 ± 0.006 b
EE4Ethyl pyruvateMS, LRI12701267163.9028.06 ± 1.02 b16.00 ± 0.33 a
EE5Ethyl 3-hydroxydecanoateMS, LRI2104210272.8293.24 ± 0.32 a1.26 ± 0.24 b
EE6Ethyl 3-hydroxyhexanoateMS, LRI1685167759.2590.241 ± 0.019 b0.343 ± 0.013 a
EE7Ethyl lactate (mg/L) ‡S, MS, LRI1341134152.93611.83 ± 0.95 b46.02 ± 8.08 a
EE8Ethyl 2-methylbutyrate ‡S, MS, LRI1049104939.2793.94 ± 0.33 a2.59 ± 0.19 b
EE9Ethyl 9-decenoate isomer IMS, LRI1697169716.67643.45 ± 1.76 b85.87 ± 17.91 a
EE10Ethyl isobutyrate ‡MS, LRI<100096514.93019.67 ± 1.00 b26.44 ± 2.86 a
EE11Ethyl cis-11-hexadecenoateMS, LRI2281223614.7950.803 ± 0.097 a0.358 ± 0.176 b
EE12Ethyl 3-acetoxyoctanoateMS, LRI1897189813.4842.13 ± 0.14 b2.94 ± 0.35 a
EE13Ethyl 2-octenoateMS, LRI1559155711.9920.395 ± 0.013 a0.296 ± 0.048 b
EE14Ethyl 4-hexenoate I ‡MS, LRI1300129210.3570.824 ± 0.053 b1.001 ± 0.079 a
EE15Ethyl nonanoateMS, LRI153715359.5587.98 ± 1.64 a4.47 ± 1.09 b
EE16Ethyl hexadecanoateMS, LRI225122419.53821.3 ± 7.26 a6.84 ± 3.61 b
EE17Ethyl 9-decenoate isomer IIMS, LRI172917129.3650.491 ± 0.108 b1.199 ± 0.386 a
EE18Ethyl 3-hydroxybutyrateMS, LRI152015249.2142.48 ± 0.20 b2.91 ± 0.14 a
EE19Ethyl octadecanoateMS, LRI246324648.2660.323 ± 0.133 a0.086 ± 0.052 b
EE20Ethyl 2-butenoate ‡MS, LRI115311538.12941.01 ± 1.11 b45.86 ± 2.73 a
EE21Ethyl 2-hexenoate IIMS, LRI136113577.9390.165 ± 0.037 b0.303 ± 0.076 a
EE22Ethyl butyrate ‡S, MS, LRI103010307.670598.6 ± 19.5520.3 ± 44.9
EE23Ethyl 2-hydroxy-4-methylvalerateMS, LRI154215476.11813.95 ± 1.3817.16 ± 1.78
EE24Ethyl heptanoateMS, LRI134013425.5678.84 ± 0.506.62 ± 1.55
EE25Ethyl tetradecanoateMS, LRI205420545.5538.30 ± 1.914.17 ± 2.36
EE26Ethyl hexanoate (mg/L) ‡S, MS, LRI124212364.6351.40 ± 0.161.11 ± 0.17
EE27Ethyl trans-2-butenoateMS, LRI116011583.65119.35 ± 0.7218.27 ± 0.67
EE28Ethyl undecanoateMS, LRI174717392.7570.551 ± 0.1110.434 ± 0.052
EE29Ethyl 2-hexenoate IMS, LRI135013572.42214.68 ± 0.7616.94 ± 2.40
EE30Ethyl cis-3-hexenoateMS, LRI130712951.8484.11 ± 0.794.76 ± 0.25
EE31Ethyl dodecanoate ‡S, MS, LRI184318431.5361.23 ± 0.370.88 ± 0.33
EE32Ethyl trans-4-decenoateMS, LRI167216800.7980.305 ± 0.0640.443 ± 0.260
EE33Ethyl nonanoateMS, LRI149515090.6590.842 ± 1.1810.256 ± 0.408
EE34Ethyl decanoate (mg/L) ‡S, MS, LRI163716380.6052.42 ± 0.482.89 ± 0.93
EE35Ethyl 2-decenoateMS, LRI176617500.4590.150 ± 0.0020.132 ± 0.047
EE36Ethyl 7-octenoateMS, LRI148214860.3632.14 ± 0.491.84 ± 0.71
EE37Ethyl 4-hexenoate II ‡MS, LRI136113570.3180.842 ± 0.0290.890 ± 0.143
EE38Ethyl 4-hydroxybutyrateMS, LRI180417960.2669.21 ± 2.668.40 ± 0.63
EE39Ethyl octanoate (mg/L) ‡S, MS, LRI143514350.1491.67 ± 0.391.53 ± 0.49
Acetate esters
AE1Isobutyl acetate ‡S, MS, LRI10151009440.677111.7 ± 1.4 b258.1 ± 12.0 a
AE23-Ethoxypropyl acetateMS1361-354.33911.88 ± 0.45 a2.37 ± 0.75 b
AE32-Ethyl-1-hexanyl acetateMS1480-101.13114.84 ± 0.63 a7.62 ± 1.07 b
AE4Diol acetate n.i.MS1741-67.91344.51 ± 5.82 a15.90 ± 1.52 b
AE5Isoamyl acetate (mg/L) ‡S, MS, LRI1133113366.3386.64 ± 0.24 b8.69 ± 0.37 a
AE6Butyl acetateMS, LRI<1100106455.08942.57 ± 2.40 b63.81 ± 4.34 a
AE7trans,trans-2,4-Octadienyl acetateMS1570-34.0050.262 ± 0.026 a0.134 ± 0.028 b
AE8Isopropyl acetate ‡MS, LRI<100090118.56572.67 ± 2.89 a61.17 ± 3.61 b
AE9Octyl acetate ‡MS, LRI1481148318.0527.88 ± 1.40 a3.47 ± 1.13 b
AE10cis-6-Nonen-1-yl acetateMS, LRI1634163414.9090.852 ± 0.299 a0.183 ± 0.021 b
AE11Propyl acetateMS, LRI<110098211.48343.93 ± 0.45 a28.59 ± 7.83 b
AE12Ethyl acetate (mg/L) ¤S, MS, LRI<110089010.73426.33 ± 3.53 b50.33 ± 12.19 a
AE132-Phenethyl acetate ‡S, MS, LRI1803180110.173455.0 ± 47.7 a360.2 ± 19.3 b
AE143-Methylheptyl acetateMS, LRI138513958.3790.852 ± 0.113 b1.858 ± 0.591 a
AE15Pentyl acetateMS, LRI116911856.8208.29 ± 0.6910.30 ± 1.13
AE16cis-3-Hexenyl acetateMS, LRI131413083.529268.2 ± 5.8231.2 ± 33.5
AE17Methyl acetate ‡MS, LRI<10008132.73622.40 ± 0.8320.75 ± 1.51
AE181,3 Butanediol diacetateMS, LRI178517681.3493.71 ± 4.240.87 ± 0.07
AE19Heptenyl acetateMS1408-1.1660.740 ± 0.2420.530 ± 0.234
AE20Hexyl acetate ‡S, MS, LRI127212720.047436.9 ± 138.4455.8 ± 60.3
Other esters
OE1Propyl hexanoateMS, LRI1324131992.3133.04 ± 0.13 a1.51 ± 0.24 b
OE2Phenylethyl isobutyrateMS, LRI1888189691.7051.04 ± 0.07 a0.43 ± 0.08 b
OE3Pyruvic acid ester n.i.MS1779-75.2253.68 ± 0.65 a0.38 ± 0.11 b
OE4Ethyl butyl succinateMS, LRI1797182073.1470.230 ± 0.018 b0.424 ± 0.035 a
OE5Isoamyl lactateMS, LRI1570157266.4262.36 ± 0.23 b8.50 ± 1.28 a
OE6Isoamyl isovalerateMS, LRI1298129465.4100.411 ± 0.046 a0.186 ± 0.015 b
OE7Isoamyl butyrateMS, LRI1266126663.26411.84 ± 0.49 a6.33 ± 1.09 b
OE8Phenethyl isovalerateMS, LRI1968198345.3312.32 ± 0.21 a1.10 ± 0.23 b
OE9Ethyl isoamyl succinateMS, LRI1903190731.1043.80 ± 0.17 a2.90 ± 0.22 b
OE10Propyl octanoateMS, LRI1520153020.3731.64 ± 0.16 a0.98 ± 0.20 b
OE11Isoamyl hexanoateS, MS, LRI1461145819.94627.12 ± 3.40 a15.21 ± 3.13 b
OE12Diethyl succinate ‡MS, LRI1677166919.174294.1 ± 22.3 b363.8 ± 16.3 a
OE13Hexyl propyl oxalateMS1525-18.4981.01 ± 0.05 b1.28 ± 0.10 a
OE14Methyl hexanoateS, MS, LRI1179118817.68515.59 ± 1.83 a8.47 ± 2.30 b
OE15Diethyl glutarateMS, LRI1785178016.7730.210 ± 0.027 a0.142 ± 0.011 b
OE16Methyl 2-hydroxy-4-methylpentanoateMS, LRI1477147015.0920.862 ± 0.181 a0.183 ± 0.243 b
OE17Hexyl propanoateMS, LRI1345134213.9030.400 ± 0.016 a0.120 ± 0.129 b
OE18Butyl hexanoateMS, LRI1419141612.0070.084 ± 0.002 a0.065 ± 0.009 b
OE19Isoamyl octanoateMS, LRI1660165711.76433.31 ± 6.66 a18.12 ± 3.81 b
OE20Isoamyl butyrate ‡MS, LRI126212669.77110.54 ± 1.61 a6.67 ± 1.41 b
OE21Ethyl phenyl lactateMS, LRI228122739.4050.731 ± 0.054 b1.054 ± 0.174 a
OE22Isobutyl hexanoateMS, LRI135613577.5712.29 ± 0.203.05 ± 0.43
OE232-Phenethyl octanoateMS, LRI238823737.1891.88 ± 0.311.00 ± 0.49
OE24Ethyl methyl succinateMS, LRI163516427.1100.607 ± 0.0580.491 ± 0.049
OE25Isoamyl decanoateMS, LRI186618645.42521.07 ± 3.8211.86 ± 5.68
OE26Diethyl malonateMS, LRI158115824.4660.684 ± 0.0370.751 ± 0.041
OE27Propyl decanoateMS, LRI172917434.3920.405 ± 0.0350.284 ± 0.093
OE28Methyl octanoateMS, LRI139713993.21679.69 ± 3.4065.51 ± 13.26
OE29Propyl formateMS, LRI<11009163.0840.582 ± 0.4801.658 ± 0.946
OE30Isoamyl dodecanoateMS, LRI206920712.5601.44 ± 0.810.51 ± 0.59
OE31Diethyl fumarateMS, LRI165416471.8300.179 ± 0.0090.164 ± 0.016
OE32Diethyl 2-hydroxyglutarateMS, LRI216121951.8110.290 ± 0.0220.503 ± 0.273
OE33Isobutyl octanoateMS, LRI155315511.5830.529 ± 0.0870.658 ± 0.156
OE34β-Phenethyl formateMS, LRI179718061.4621.53 ± 0.202.03 ± 0.70
OE35Ethyl hydrogen succinateMS, LRI238023671.27276.88 ± 10.7162.96 ± 18.49
OE36Diethyl malateMS, LRI204720481.1131.60 ± 0.121.89 ± 0.45
OE37Methyl dodecanoateMS, LRI181018060.9510.206 ± 0.0290.173 ± 0.05
OE38Isoamyl isobutyrateMS, LRI118811940.8030.397 ± 0.0140.354 ± 0.082
OE392-Ethyl-1-hexyl propanoateMS1452-0.7301.40 ± 0.201.51 ± 0.08
OE40Methyl decanoateMS, LRI159815990.5076.70 ± 0.406.14 ± 1.30
OE41Triethyl citrateMS, LRI246324610.0020.089 ± 0.0640.087 ± 0.014
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.8. Sulfur-Containing Compounds

In wines, sulfur-containing compounds originate from various sources, including yeast metabolism, more precisely catabolism and anabolism of the sulfur-containing amino acids methionine and cysteine and their derivative homocysteine through the Ehrlich pathway [47,51]. In this study, as reported in Table 9, dihydro-2-methyl-3(2H)-thiophenone, 3-hydroxyethyl-2-hydroxypropyl sulfide I and II, and 3-methionyl acetate had a higher concentration in LEV in comparison with the control SCE wine. The increased concentration of the acetate ester of methionol, the most abundant sulfur compound in this study, was in line with higher concentrations of abundant higher-alcohol acetates, such as isobutyl, butyl, and especially isoamyl acetate (Table 8), corroborating a possibility of higher activity of particular alcohol acetyltransferases in L. thermotolerans compared to S. cerevisiae. 2-Thiophenecarboxaldehyde, ethyl 3-(methylthio)propionate, methionol, and ethyl methanesulfonate concentrations were higher in SCE wine. Escribano-Viana et al. [42] reported about no activity of sulfite reductase involved in the biosynthesis of sulfur-containing compounds in L. thermotolerans strains, while, on the other hand, Comitini et al. [15] observed that all of the investigated L. thermotolerans strains showed sulfite reductase activity, suggesting that this characteristic is strongly strain-related. Other determined sulfur-containing compounds identified in this study showed no significant differences between the two investigated yeasts.
Table 9. Concentrations (μg/L) of sulfur containing compounds found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 9. Concentrations (μg/L) of sulfur containing compounds found in Malvazija istarska white wines produced using different yeasts determined by targeted one-dimensional gas chromatography/mass spectrometry (GC/MS) ‡ and untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
SU12-ThiophenecarboxaldehydeMS, LRI17041701109.2410.273 ± 0.027 a0.105 ± 0.004 b
SU2Ethyl 3-(methylthio)propionateMS, LRI1570157195.2632.72 ± 0.22 a1.45 ± 0.07 b
SU3Dihydro-2-methyl-3(2H)-thiophenoneMS, LRI1512150692.1282.82 ± 0.08 b3.31 ± 0.03 a
SU43-Hydroxyethyl 2-hyxdroxypropyl sulfide IMS1779-75.4230.21 ± 0.18 b1.71 ± 0.24 a
SU53-Hydroxyethyl 2-hyxdroxypropyl sulfide IMS1822-69.2850.076 ± 0.010 b0.297 ± 0.045 a
SU6MethionolS, MS, LRI1722171721.85314.56 ± 1.21 a10.50 ± 0.89 b
SU7Ethyl methanesulfonateMS1691-8.9722.53 ± 0.88 a0.97 ± 0.18 b
SU83-Methionyl acetateMS, LRI163516277.8762.67 ± 0.16 b3.23 ± 0.31 a
SU9BenzothiazoleMS, LRI196219625.8330.710 ± 0.0260.609 ± 0.067
SU10SulfurolMS, LRI230523024.7560.446 ± 0.0830.301 ± 0.079
SU114-(Methylthio)-1-butanolMS, LRI184118124.7530.450 ± 0.1070.314 ± 0.016
SU12IsothiocyanatocyclohexaneMS, LRI167916704.1420.793 ± 0.0880.661 ± 0.071
SU13S-Ethyl octanethioateMS1525-0.88912.88 ± 0.5111.17 ± 3.09
SU14Propyl ethynyl sulfoxideMS1559-0.8311.07 ± 0.141.21 ± 0.22
SU152-Methyltetrahydrothiophen-3-oneMS, LRI153115380.4880.91 ± 0.891.49 ± 1.13
SU162-(Methylmercapto)benzothiazole ‡MS, LRI243324220.0540.119 ± 0.0040.117 ± 0.017
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.9. Furanoids and Lactones

Although furanoids and lactones are normally found in higher amounts in aged wines, they also occur in fresh young wines. In this study, as reported in Table 10, furfural and 4-(1-hydroxyethyl)-γ-butyrolactone were more abundant in LEV than in SCE wine. Several γ-lactones determined in this study showed a tendency towards higher concentrations in LEV wine, but control SCE wine contained higher levels of the most abundant ones. SCE wine contained higher concentrations of several δ-lactones as well, suggesting higher availability of their hydroxycarboxylic acid precursors and/or enzymatic activity in S. cerevisiae control fermentation. Two furanoids, 2-butyltetrahydrofuran and 2-pentylfuran, were also found in higher concentrations in SCE wine.
Table 10. Concentrations (μg/L) of furanoids and lactones found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 10. Concentrations (μg/L) of furanoids and lactones found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
FL1δ-DodecalactoneMS, LRI24302423139.3850.364 ± 0.020 a0.137 ± 0.027 b
FL22-ButyltetrahydrofuranMS1267-103.57435.47 ± 2.41 a15.66 ± 2.35 b
FL3FurfuralS, MS, LRI1466146077.5152.24 ± 0.17 b3.42 ± 0.16 a
FL4δ-DecalactoneMS, LRI2197219354.9520.712 ± 0.067 a0.362 ± 0.048 b
FL5γ-NonalactoneS, MS, LRI2040204638.2034.63 ± 0.24 a3.33 ± 0.28 b
FL6γ-DodecalactoneMS, LRI2380238427.1960.243 ± 0.028 a0.154 ± 0.009 b
FL7γ-ButyrolactoneMS1635-22.79538.59 ± 2.96 a29.38 ± 1.55 b
FL8γ-DecalactoneMS, LRI2154215219.7382.45 ± 0.22 a1.43 ± 0.33 b
FL9δ-OctalactoneS, MS, LRI1976197616.2800.710 ± 0.033 a0.521 ± 0.074 b
FL10γ-OctalactoneMS, LRI1926192415.9075.05 ± 0.34 a3.56 ± 0.55 b
FL114-(1-Hydroxyethyl)-γ-butyrolactoneMS, LRI2386243110.1441.33 ± 0.11 b3.62 ± 1.24 a
FL122-PentylfuranMS, LRI1229123110.0580.860 ± 0.075 a0.694 ± 0.051 b
FL13Mevalonic acid δ-lactoneMS2551-5.8460.213 ± 0.0230.313 ± 0.068
FL14γ-CrotonolactoneMS, LRI176617585.7060.475 ± 0.0420.775 ± 0.214
FL15γ-HexalactoneMS, LRI171017103.9082.99 ± 0.481.96 ± 0.77
FL162-Hydroxy-γ-butyrolactoneMS2076-2.9890.11 ± 0.191.08 ± 0.96
FL17γ-HeptalactoneMS, LRI181518112.9100.334 ± 0.1240.481 ± 0.083
FL184-Ethoxy-γ-butyrolactoneMS, LRI173517281.6060.207 ± 0.0220.224 ± 0.003
FL19γ-UndecalactoneMS, LRI223522351.3924.66 ± 0.318.57 ± 5.74
FL20α-Methyl-γ-crotonolactoneMS, LRI172917260.9440.186 ± 0.0070.202 ± 0.029
FL21δ-Lactone n.i.MS1879-0.8170.106 ± 0.0480.081 ± 0.005
FL22δ-HexalactoneMS, LRI180417980.6100.659 ± 0.0790.599 ± 0.108
FL235-Methyl-5-hydroxyhexanoic acid lactoneMS1141-0.6071.40 ± 1.280.73 ± 0.77
FL24γ-ValerolactoneMS, LRI161616170.4770.231 ± 0.1300.283 ± 0.012
FL25Ethyl 2-furoateMS, LRI162916280.39026.15 ± 1.5027.26 ± 2.69
FL26SoleroneMS, LRI207620960.0101.28 ± 0.191.25 ± 0.45
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.10. Benzenoids

1H-indole was the only benzenoid found in a higher concentration in LEV wine (Table 11). Benzenoids with the highest F-ratios were mostly much more abundant in control SCE wine, including particular benzenoids from the phenylalanine metabolism and their derivatives, such as ethyl 2-phenylacetate, ethyl phenethyl ether, and 2-phenylacetaldehyde. This, together with the higher concentration of 2-phenyethanol, implies a greater expression of the responsible genes in S. cerevisiae yeast. Besides the transformation of amino acid precursors and inter-conversions of benzenoids during fermentation, Martin et al. [52] reported about the possibility of de novo synthesis of some of these compounds by Hanseniaspora vineae (which is also a non-Saccharomyces yeast) without the presence of their corresponding precursors from grapes.
Table 11. Concentrations (μg/L) of benzenoids found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 11. Concentrations (μg/L) of benzenoids found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
BE1Ethyl 2-phenylacetateMS, LRI17911788104.73113.75 ± 1.21 a6.25 ± 0.40 b
BE2Ethyl phenethyl etherMS1526-52.6630.877 ± 0.018 a0.597 ± 0.064 b
BE34-Ethyl-m-xyleneMS, LRI1377137333.8441.35 ± 0.06 a0.76 ± 0.17 b
BE4DureneMS, LRI1445143532.6075.30 ± 0.25 a3.54 ± 0.47 b
BE52-PhenylacetaldehydeS, MS, LRI1654165629.68150.80 ± 7.53 a25.94 ± 2.41 b
BE6StyreneMS, LRI1258126216.2269.75 ± 0.44 a5.78 ± 1.65 b
BE7Ethyl o-methylbenzoateMS, LRI1747175115.6500.17 ± 0.03 a0.10 ± 0.02 b
BE8CardeneMS, LRI1259126915.2347.94 ± 0.56 a6.10 ± 0.60 b
BE9Ethyl benzoateMS, LRI1672168014.8276.90 ± 0.27 a5.54 ± 0.55 b
BE10o-XyleneMS, LRI1179118912.7712.04 ± 0.30 a1.20 ± 0.27 b
BE11Methyl salicylateMS, LRI178517899.9291.83 ± 0.23 a1.38 ± 0.09 b
BE121H-IndoleMS, LRI245524549.2000.80 ± 0.04 b2.20 ± 0.80 a
BE13p-IsopropenylphenolMS2455-7.8990.066 ± 0.019 b0.118 ± 0.026 a
BE143,3-Dimethoxy-1-phenylpropane-1,2-dioneMS1471-7.6014.36 ± 0.912.85 ± 0.29
BE152,4,6-Trimethylbenzoic acidMS2714-7.5670.065 ± 0.0210.143 ± 0.044
BE16p-CymeneMS, LRI127612736.6345.79 ± 0.536.67 ± 0.25
BE17Ethyl phenyl ketoneMS, LRI173517446.6220.167 ± 0.0160.203 ± 0.019
BE182-MethylnaphthaleneMS, LRI186018565.4360.242 ± 0.0220.207 ± 0.014
BE19m-Di-tert-butylbenzeneMS, LRI143514365.3510.358 ± 0.2060.08 ± 0.03
BE204-EthylbenzaldehydeMS, LRI171617145.1851.29 ± 0.161.79 ± 0.35
BE214-PhenylbutenoneMS, LRI199720325.0720.310 ± 0.0690.448 ± 0.081
BE223-MethylacetophenoneMS, LRI178517865.0130.280 ± 0.0160.243 ± 0.024
BE23p-MethoxyanisoleMS, LRI174717524.5650.80 ± 0.111.09 ± 0.21
BE243-EthylacetophenoneMS1841-4.4590.299 ± 0.0330.580 ± 0.228
BE25Phenylacetic acidMS, LRI256025604.4140.620 ± 0.0320.463 ± 0.125
BE264-AcetylbenzaldehydeMS2235-4.4100.85 ± 0.131.32 ± 0.36
BE273-Phenylbutyric acidMS2628-4.1870.036 ± 0.0190.297 ± 0.220
BE284-EthylacetophenoneMS, LRI187218673.8750.215 ± 0.0440.444 ± 0.197
BE29Methyl benzoateMS, LRI162916243.3970.133 ± 0.0030.152 ± 0.018
BE304-MethylacetophenoneMS, LRI176617633.3270.183 ± 0.0310.240 ± 0.044
BE31BenzonitrileMS, LRI161016143.2721.11 ± 0.291.55 ± 0.31
BE32Benzoic acidMS, LRI243824323.0015.11 ± 0.6010.32 ± 5.18
BE332,5-DimethylcrotonophenoneMS1997-2.4620.171 ± 0.0320.210 ± 0.029
BE341-Phenyl-3-phenethylundecaneMS1954-2.4510.839 ± 0.1350.578 ± 0.255
BE352-Phenylpropionic acidMS2542-2.1560.014 ± 0.0120.055 ± 0.048
BE36p-EthylstyreneMS, LRI145914621.7320.157 ± 0.1890.013 ± 0.022
BE37Benzyl acetateMS, LRI173517391.0400.313 ± 0.0290.291 ± 0.024
BE382-MethylbenzaldehydeMS, LRI162916220.9770.845 ± 0.0740.910 ± 0.086
BE391-PhenylhexaneMS, LRI152515240.9651.05 ± 0.241.19 ± 0.09
BE40α,α-DimethylbenzenemethanolMS, LRI176617700.9220.106 ± 0.0330.147 ± 0.066
BE41Benzyl alcoholS, MS, LRI187918770.6792.64 ± 0.122.79 ± 0.29
BE421,2,3,4-TetramethylbenzeneMS, LRI150315050.6760.641 ± 0.0260.621 ± 0.033
BE43α-Phenyldiethyl etherMS1482-0.6001.01 ± 0.080.92 ± 0.19
BE441-MethylnaphthaleneMS, LRI189718930.4290.146 ± 0.0180.163 ± 0.041
BE45BenzaldehydeMS, LRI152515380.2054.6 ± 0.724.88 ± 0.77
BE463-Methylbenzoic acidMS2532-0.1850.179 ± 0.0580.209 ± 0.104
BE47Octyl benzeneMS, LRI174117410.1571.47 ± 0.321.35 ± 0.38
BE484-MethylbenzaldehydeMS, LRI165516550.1310.486 ± 0.0790.503 ± 0.011
BE491,2,3-TrimethylbenzeneMS, LRI134513440.0950.556 ± 0.1010.578 ± 0.064
BE502-Ethyl-o-xyleneMS, LRI136613620.0410.974 ± 0.1200.944 ± 0.229
BE512-(4′-Methylphenyl)-propanalMS1408-0.0330.531 ± 0.057 0.517 ± 0.128
BE523-(1-Methylethyl)benzoic acidMS2642-0.0220.031 ± 0.019 0.033 ± 0.012
BE53p-XyleneMS, LRI113711490.0042.63 ± 0.302.71 ± 1.87
BE54AcetophenoneS, MS, LRI166016600.0013.24 ± 0.543.21 ± 1.46
Abbreviations: Co.—compound’s code. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.11. Volatile Phenols

2,3,6-Trimethylphenol showed a significantly higher concentration in LEV than in SCE wine, while for other volatile phenols, significant differences were not determined (Table 12). Vinylphenols and ethylphenols are considered the most important volatile phenols in wine. They are formed in alcoholic fermentation by decarboxylation of ferulic and p-coumaric acid by yeast hydroxycinnamic acid decarboxylases, respectively [44]. Higher levels of ethylphenols are indicative of Dekkera/Brettanomyces spoilage and can impart wine with negative odors. Several non-Saccharomyces yeasts, including L. thermotolerans, were previously found to produce lower levels of vinylphenols than S. cerevisiae [53].
Table 12. Concentrations (μg/L) of volatile phenols found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 12. Concentrations (μg/L) of volatile phenols found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
VP12,3,6-TrimethylphenolMS, LRI2004202813.0480.066 ± 0.010 b0.116 ± 0.022 a
VP2PhenolS, MS, LRI201120124.9774.08 ± 0.26 5.08 ± 0.74
VP34-VinylphenolMS, LRI239324063.3620.586 ± 0.202 0.308 ± 0.168
VP4p-tert-AmylphenolMS2413-3.2570.193 ± 0.051 0.111 ± 0.060
VP54-EthylphenolMS, LRI217721813.0140.306 ± 0.166 0.479 ± 0.046
VP62-EthylphenolMS, LRI207620711.7010.103 ± 0.049 0.048 ± 0.052
VP74-VinylguaiacolS, MS, LRI219721961.3630.707 ± 0.163 0.531 ± 0.204
VP8GuaiacolMS, LRI186618690.3180.076 ± 0.019 0.083 ± 0.010
VP9o-CresolMS, LRI201120110.2570.087 ± 0.004 0.089 ± 0.007
VP10ThymolMS, LRI218321870.0000.103 ± 0.0200.103 ± 0.022
Abbreviations: No.—number of compounds. ID—identification of compounds: S—retention time accordant with that of a pure standard; MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. MS—compound that were tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.12. Other Compounds

The concentration of other identified compounds did not significantly differ between the two treatments (Table 13).
Table 13. Concentrations (μg/L) of other compounds found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Table 13. Concentrations (μg/L) of other compounds found in Malvazija istarska white wines produced using different yeasts determined by untargeted two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC/TOF-MS) sorted by decreasing Fisher’s F-ratio.
Co.Volatile Aroma CompoundsIDLRIexpLRIlitF-RatioTreatment
SCELEV
OC1cis-5-Hydroxy-2-methyl-1,3-dioxaneMS, LRI149814943.9940.242 ± 0.2970.587 ± 0.036
OC21-Octen-3-ol, methyl etherMS1411-3.7670.000 ± 0.0000.154 ± 0.137
OC3(3-Methylphenyl) methanol, 2-methylpropyl etherMS1968-0.7030.500 ± 0.12 00.416 ± 0.127
OC4Dimethylmaleic anhydrideMS, LRI174117550.2050.118 ± 0.0150.130 ± 0.044
OC5Glutaconic anhydrideMS1997-0.0651.91 ± 0.091.88 ± 0.17
Abbreviations: Co.—compound’s code. ID—identification of compounds: MS—mass spectra accordant with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra databases from electronic libraries or the literature; LRI—linear retention index accordant with the index from the literature. Compounds with only MS in the ID column were considered tentatively identified. LRIexp—experimental linear retention index; LRIlit—linear retention index from the literature. SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.2.13. Hierarchical Clustering Analysis

Hierarchical clustering analysis was performed to summarize and better visualize the main differences in volatile compound profiles between LEV and SCE wines (Figure 1). A reduced dataset was used with a total of 67 variables, comprising 30 compounds with the highest F-ratios which had higher concentration in LEV wine, 30 compounds with the highest F-ratios which had higher concentration in SCE wine, and seven additional compounds for which statistically significant differences were determined by one-way ANOVA which are often cited amongst the key wine odorants. LEV wine was characterized by higher concentrations of several important odorants, including geraniol, β-ionone, isobutanol, isobutyric acid, ethyl isobutyrate, isobutyl acetate, isoamyl acetate, ethyl acetate, ethyl lactate, and diethyl succinate, followed by numerous compounds from various chemical classes with, to date, an unknown but possibly important contribution to wine sensory quality. The profile of control SCE wine was distinguished by higher levels of other impact compounds, such as citronellol, acetaldehyde, 2-phenylethanol, propanol, isoamyl alcohol, 2-methylbutyric acid, isovaleric acid, ethyl 2-methylbutyrate, ethyl 3-methylbutyrate, and 2-phenethyl acetate, also accompanied by a number of other compounds. While the differences in major odorants suggest a probable significant impact on the sensory profiles of the investigated wines, the abundance in minor and trace compounds, not studied from this aspect before but significantly affected by yeast species in this study, implies the need to investigate their sensory relevance and possible impact on wine aroma.

3.3. Grape Phenolic Compounds

The effects of the two investigated yeasts on grape phenolic compounds are reported in Table 14. Among hydroxybenzoic acids, the most significant differences were observed for 2,5-dihydroxybenzoic acid, followed by p-hydroxybenzoic acid, both found in higher concentrations in the control SCE wine. Both free forms of hydroxycinnamic acids and their esters with tartaric acid were significantly affected, but with opposite directions. Free p-coumaric and caffeic acid were found in higher concentrations in SCE, while all three major hydroxycinnamoyl tartrates, trans-caftaric, trans-fertaric, and trans-coutaric acid, were more abundant in LEV wine. Such results imply distinct differences between the activity of certain enzymes between the two yeasts, such as higher activity of cinnamyl esterases responsible for the release of free hydroxycinammic acids from their tartrate esters [54] in S. cerevisiae, as well as different activity of decarboxylases that catalyze the transformation of free p-coumaric and ferulic acid into 4-vinylphenols [42,55]. Besides that, the differential adsorption of grape phenols on the surface of yeast cells between different yeasts observed previously [56] could have also had an effect. Trans-resveratrol, a stilbene important because of its known antioxidant activity, was less abundant in LEV, while among flavanols, quercetin showed a higher concentration in this wine. From the group of flavan-3-ols, only procyanidin B1 and epigallocatechin showed significant differences, with a higher amount of the former found in LEV wine and that of the latter in SCE wine. Catechol had almost double the concentration in control SCE compared to LEV wine. The total phenolic content was slightly higher in the LEV treatment wine, implying a possibility of a higher degree of adsorption of phenols, including large molecules such as tannins, on S. cerevisiae yeast cells.
Table 14. Concentrations of phenolic compounds (mg/L) obtained by ultra-performance liquid chromatography/mass spectrometry (UPLC/QqQ-MS/MS) sorted by compound class and descending Fisher’s F-ratio and concentration of total phenols (mg/L gallic acid equivalents) in Malvazija istarska white wines produced using different yeasts.
Table 14. Concentrations of phenolic compounds (mg/L) obtained by ultra-performance liquid chromatography/mass spectrometry (UPLC/QqQ-MS/MS) sorted by compound class and descending Fisher’s F-ratio and concentration of total phenols (mg/L gallic acid equivalents) in Malvazija istarska white wines produced using different yeasts.
Phenolic CompoundsF-RatioTreatment
SCELEV
Hydroxybenzoic acid derivatives
2,5-Dihydroxybenzoic acid100.9930.715 ± 0.077 a0.262 ± 0.009 b
p-Hydroxybenzoic acid10.5710.439 ± 0.077 a0.293 ± 0.012 b
Protocatechuic acid0.6390.565 ± 0.0580.668 ± 0.214
Vanillic acid0.4240.106 ± 0.0220.096 ± 0.012
Syringic acid0.2210.422 ± 0.1280.370 ± 0.145
Hydroxycinnamic acid derivatives
p-Coumaric acid493.0141.27 ± 0.04 a0.44 ± 0.05 b
trans-Caftaric acid138.4580.179 ± 0.032 b0.804 ± 0.086 a
trans-Coutaric acid31.5200.491 ± 0.072 b0.797 ± 0.061 a
Caffeic acid27.6382.24 ± 0.11 a1.75 ± 0.12 b
trans-Fertaric acid12.8442.45 ± 0.19 b2.85 ± 0.04 a
Ferulic acid5.1080.498 ± 0.0400.601 ± 0.067
Other acids
4-Aminobenzoic acid4.0550.066 ± 0.0090.082 ± 0.011
Stilbenes
trans-Resveratrol30.0430.115 ± 0.008 a0.080 ± 0.007 b
cis-Resveratrol6.0920.026 ± 0.0140.053 ± 0.013
Flavan-3-ols
Procyanidin B132.4231.33 ± 0.28 b2.73 ± 0.32 a
Epigallocatechin10.5430.019 ± 0.005 a0.005 ± 0.005 b
Epicatechin3.1200.245 ± 0.0680.360 ± 0.091
Gallocatechin2.1200.188 ± 0.0100.159 ± 0.032
Catechin1.1171.41 ± 0.141.23 ± 0.25
Procyanidin B2 + B40.4250.158 ± 0.0550.239 ± 0.207
Flavonols
Quercetin21.7660.097 ± 0.001 b0.133 ± 0.013 a
Kaempferol1.2010.000 ± 0.0000.005 ± 0.007
Miscellaneous
Catechol9.7480.681 ± 0.084 a0.376 ± 0.147 b
Phlorizin5.5020.039 ± 0.0020.065 ± 0.019
Total phenolic content 196.9 ± 5.0 b206.7 ± 2.6 a
Abbreviations: SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.4. Proteins and Protein Stability

The changes in the concentration of major soluble grape and wine proteins, pathogenesis-related (PR) thaumatin-like proteins (TLPs), and chitinases responsible for the formation of haze in white wine were mostly non-significant (Table 15). Only thaumatin-like protein 2 was found in significantly lower concentration in LEV wine. This difference was apparently not sufficient to achieve a change in protein stability, since the bentonite doses required to achieve protein stability of the two wines were the same. Chitinases were not affected, so it was assumed that the two investigated yeasts did not differ with respect to the content of cell wall chitin, a substrate for these PR proteins. In a recent study, particular Saccharomyces paradoxus strains were found to have increased availability of chitin and show a potential to adsorb chitinases and improve wine protein stability [57]. Available information about the interaction of non-Saccharomyces yeasts and PR proteins is generally rather scarce, so further research is needed.
Table 15. Concentrations of pathogenesis-related (PR) proteins (mg/L) determined by reversed-phase high-performance liquid chromatography with diode array detection (RP-HPLC/DAD) in Malvazija istarska white wines produced using different yeasts and bentonite doses (g/hL) required to achieve protein stability of the wines.
Table 15. Concentrations of pathogenesis-related (PR) proteins (mg/L) determined by reversed-phase high-performance liquid chromatography with diode array detection (RP-HPLC/DAD) in Malvazija istarska white wines produced using different yeasts and bentonite doses (g/hL) required to achieve protein stability of the wines.
PR Proteins and Bentonite DoseTreatment
SCELEV
Thaumatin-like protein 112.41 ± 1.1313.33 ± 0.42
Thaumatin-like protein 212.32 ± 0.43 a10.35 ± 0.26 b
Thaumatin-like protein 312.33 ± 0.9211.61 ±0.54
Thaumatin-like protein 432.03 ±2.2829.32 ± 0.64
Chitinase 129.17 ± 0.9228.04 ±2.78
Chitinase 222.95 ± 0.5422.52 ± 2.10
Bentonite dose90 ± 090 ± 0
Abbreviations: SCESaccharomyces cerevisiae (control, pure culture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.

3.5. Sensory Analysis

Particular differences between the intensities of main aroma group attributes and taste attributes of the two investigated wines were determined by quantitative descriptive sensory analysis, although, in most cases, without statistical significance (Figure 2a). Aroma group and taste attributes, as well as specific odor descriptors for which statistically significant differences were found, are shown in Figure 2b. LEV wine was characterized by increased tropical fruit notes, specifically passionfruit-like odor, which could be tentatively ascribed to the increased levels of particular acetates determined in this wine (Table 8). The occurrence of this odor nuance is often associated with the contribution of volatile thiols, which were not analyzed in this study, but the possibility that these compounds may have had an effect should not be excluded. The slightly but significantly higher intensity of buttery odor in LEV was possibly related to the higher concentration of ethyl lactate, known to contribute with buttery notes, and possibly other esters of lactic acid with unknown sensory relevance found in this wine, such as isoamyl lactate and ethyl phenyl lactate. Higher intensities of herbaceous and tobacco odors were also observed in LEV wine. On the other hand, more intense muscat-like and citrus odors observed in control SCE wine were probably related to higher concentrations of several terpenoids found in this wine, such as citronellol, limonene, and many other minor compounds, despite the fact that the difference in linalool concentration, which usually exhibits the greatest contribution to Malvazija istarska flavor among major monoterpenols [58], was not significant (Table 3). SCE wine was described by slightly higher intensity of the overall floral odor. The perception of acidity was not altered by LEV with respect to control SCE wine. However, LEV wine was described as having a fuller body and higher viscosity, which was possibly a direct consequence of higher concentrations of lactic acid and total dry extract found in this wine (Table 1), which is known to contribute to such attributes. No significant differences between the two wines were observed either regarding Malvazija istarska varietal typicity or the overall quality assessed by the 100 points OIV grading method.

4. Conclusions

The results of this study showed that sequential inoculation with the investigated L. thermotolerans fermentation starter followed by S. cerevisiae can produce significant effects on white wine composition and quality when compared to S. cerevisiae monoculture fermentation. The bioacidification effect of L. thermotolerans, together with the reduced alcoholic strength, was confirmed to be a prominent feature of this yeast, useful in mitigating the negative influence of climate changes in winemaking. This is especially important for grape varieties such as Malvazija istarska, which, in certain terroirs and growing seasons, produce wines with lower acidity and higher alcohol content. These effects were milder than for some other strains in previous reports, confirming that the studies on the selection of L. thermotolerans strains with desired oenological performance are of utmost importance. Future research should also prioritize investigating how the complete physico-chemical composition of starting grape/must material, in combination with various vinification conditions, affect the performance of this yeast. This will enable more precise management of its activity to achieve the desired outcomes in winemaking. The comprehensive GC×GC/MS-TOF analysis, complemented by conventional GC techniques, provided an in-depth characterization of the changes in the volatile aroma profile of wine as affected by L. thermotolerans as a starter, with more than 370 identified volatiles. Although the levels of a number of compounds were lower after L. thermotolerans co-fermentation, the investigated starter produced significant increases in the concentration of several known key wine volatile aroma compounds, followed by numerous compounds from various chemical classes with to date unknown, but possibly important contribution to wine sensory quality. On the other hand, for a number of volatiles, no significant effects were observed. Particular phenolic compounds from grapes were significantly affected, while the observed marginal effect on proteins and no effect on protein stability suggest that the used L. thermotolerans strain is not a promising candidate for use for such purposes. In sensory terms, the wines of the two treatments were generally described as similar, albeit L. thermotolerans co-fermentation slightly enhanced the perception of particular positive sensory attributes and descriptors, meaning that bioacidification and ethanol reduction were complemented by positive side effects on wine quality. With the largest number of identified volatile compounds reported up to date and other results obtained, this study contributes to the better understanding of oenological and especially aromatic potential of L. thermotolerans in white wine production. Given the significant number of differentiating compounds whose sensory relevance remains unknown, it is crucial for future studies to delve deeper into understanding their potential impact.

Author Contributions

Conceptualization, D.D.S. and I.L.; methodology, U.V. and I.L.; validation, S.C. and I.L.; formal analysis, D.D.S. and S.C.; investigation, D.D.S., U.V., S.C., S.R. and I.L.; resources, U.V. and I.L.; data curation, D.D.S., S.C. and I.L.; writing—original draft preparation, D.D.S.; writing—review and editing, U.V., S.C., S.R. and I.L.; visualization, D.D.S.; supervision, U.V. and I.L.; project administration, I.L.; funding acquisition, I.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Croatian Science Foundation under the research project “Innovative solutions for rationalizing the use of bentonite in white wine protein stabilization”—INNOSTAB (IP-2020-02-4551); and the project “Young Researchers’ Career Development Project—Training New Doctoral Students” (DOK-2021-02-5500).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

Authors thank Ana Hranilović for help in the experiment design and performance, Tomislav Plavša for help in vinification, and Ivana Horvat for help in chemical analyses.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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Figure 1. Hierarchical clustering analysis of Malvazija istarska wines produced by monoculture fermentation with Saccharomyces cerevisiae (SCE, control treatment) and Lachancea thermotolerans (LEV, sequentially inoculated, fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol) based on GC/FID, GC/MS, and GC×GC/TOF-MS volatile compounds analysis data. Compounds’ codes correspond to those in Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12 and Table 13. The rows of the heatmap correspond to compounds, while the columns represent samples. The colors within the heatmap cells reflect the abundance of each compound (using normalized values), with dark blue indicating low, pale colors representing medium, and dark red signifying high abundance.
Figure 1. Hierarchical clustering analysis of Malvazija istarska wines produced by monoculture fermentation with Saccharomyces cerevisiae (SCE, control treatment) and Lachancea thermotolerans (LEV, sequentially inoculated, fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol) based on GC/FID, GC/MS, and GC×GC/TOF-MS volatile compounds analysis data. Compounds’ codes correspond to those in Table 2, Table 3, Table 4, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12 and Table 13. The rows of the heatmap correspond to compounds, while the columns represent samples. The colors within the heatmap cells reflect the abundance of each compound (using normalized values), with dark blue indicating low, pale colors representing medium, and dark red signifying high abundance.
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Figure 2. Sensory profiles of Malvazija istarska wines produced by Saccharomyces cerevisiae (SCE; control, pure culture, blue line) and Lachancea thermotolerans (LEV; sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol, red line) obtained by quantitative descriptive sensory analysis: (a) intensities of main aroma group and taste attributes; and (b) intensities of main aroma group and taste attributes and specific odor descriptors for which statistically significant differences between the wines were determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.
Figure 2. Sensory profiles of Malvazija istarska wines produced by Saccharomyces cerevisiae (SCE; control, pure culture, blue line) and Lachancea thermotolerans (LEV; sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol, red line) obtained by quantitative descriptive sensory analysis: (a) intensities of main aroma group and taste attributes; and (b) intensities of main aroma group and taste attributes and specific odor descriptors for which statistically significant differences between the wines were determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.
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Table 1. Standard physico-chemical parameters of Malvazija istarska white wine produced by fermentation with different yeasts.
Table 1. Standard physico-chemical parameters of Malvazija istarska white wine produced by fermentation with different yeasts.
Physico-Chemical ParametersTreatment
SCELEV
Alcohol (vol %)13.10 ± 0.08 a12.88 ± 0.07 b
Total dry extract without reducing sugars (g/L)17.87 ± 0.21 b18.83 ± 0.40 a
Total acidity (g/L)5.6 ± 0.16.0 ± 0.3
pH3.21 ± 0.023.22 ± 0.03
Volatile acidity (g/L)0.47 ± 0.030.45 ± 0.05
Citric acid (g/L)0.37 ± 0.00 a0.32 ± 0.00 b
Tartaric acid (g/L)2.69 ± 0.02 b2.73 ± 0.00 a
Malic acid (g/L)2.03 ± 0.042.06 ± 0.06
Lactic acid (g/L)0.08 ± 0.00 b0.86 ± 0.14 a
Glycerol (g/L)5.33 ± 0.105.54 ± 0.15
Abbreviations: SCESaccharomyces cerevisiae (control, monoculture); LEVLachancea thermotolerans (sequentially inoculated; fermentation finished by S. cerevisiae (SCE) inoculated at 2 vol % ethanol). Different superscript lowercase letters in a row represent statistically significant differences among two investigated wines determined by one-way ANOVA and least significant difference test (LSD) at p < 0.05.
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MDPI and ACS Style

Delač Salopek, D.; Vrhovsek, U.; Carlin, S.; Radeka, S.; Lukić, I. In-Depth Characterization of the Volatile Aroma Profile and Other Characteristics of White Wine Produced by Sequential Inoculation with a Lachancea thermotolerans Starter Yeast Strain. Fermentation 2024, 10, 515. https://doi.org/10.3390/fermentation10100515

AMA Style

Delač Salopek D, Vrhovsek U, Carlin S, Radeka S, Lukić I. In-Depth Characterization of the Volatile Aroma Profile and Other Characteristics of White Wine Produced by Sequential Inoculation with a Lachancea thermotolerans Starter Yeast Strain. Fermentation. 2024; 10(10):515. https://doi.org/10.3390/fermentation10100515

Chicago/Turabian Style

Delač Salopek, Doris, Urska Vrhovsek, Silvia Carlin, Sanja Radeka, and Igor Lukić. 2024. "In-Depth Characterization of the Volatile Aroma Profile and Other Characteristics of White Wine Produced by Sequential Inoculation with a Lachancea thermotolerans Starter Yeast Strain" Fermentation 10, no. 10: 515. https://doi.org/10.3390/fermentation10100515

APA Style

Delač Salopek, D., Vrhovsek, U., Carlin, S., Radeka, S., & Lukić, I. (2024). In-Depth Characterization of the Volatile Aroma Profile and Other Characteristics of White Wine Produced by Sequential Inoculation with a Lachancea thermotolerans Starter Yeast Strain. Fermentation, 10(10), 515. https://doi.org/10.3390/fermentation10100515

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