Next Article in Journal
Characterization of the Ohmyungsamycin Biosynthetic Pathway and Generation of Derivatives with Improved Antituberculosis Activity
Next Article in Special Issue
Is Sotolon Relevant to the Aroma of Madeira Wine Blends?
Previous Article in Journal
Genome-Wide Identification and Functional Characterization of the Phosphate Transporter Gene Family in Sorghum
Previous Article in Special Issue
A Design of Experiments Strategy to Enhance the Recovery of Polyphenolic Compounds from Vitis vinifera By-Products through Heat Reflux Extraction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Elicitors and Pre-Fermentative Cold Maceration: Effects on Polyphenol Concentration in Monastrell Grapes and Wines

by
Diego F. Paladines-Quezada
1,
Juan D. Moreno-Olivares
1,
José I. Fernández-Fernández
1,
Juan A. Bleda-Sánchez
1,
Alejandro Martínez-Moreno
2 and
Rocío Gil-Muñoz
1,*
1
Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA), Ctra. La Alberca s/n, 30150 Murcia, Spain
2
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Campus Universitario de Espinardo, 30100 Murcia, Spain
*
Author to whom correspondence should be addressed.
Biomolecules 2019, 9(11), 671; https://doi.org/10.3390/biom9110671
Submission received: 20 September 2019 / Revised: 21 October 2019 / Accepted: 21 October 2019 / Published: 30 October 2019
(This article belongs to the Special Issue Biochemistry of Wine and Beer)

Abstract

:
Vitis vinifera L cv Monastrell is the main red grape variety grown for vinification in the Denomination of Origin Jumilla (southeast Spain). Different strategies are still being tested to optimize available resources both in terms of the environment and to achieve wines with better organoleptic and functional characteristics. The objective of this work was to combine two strategies: the application of methyl jasmonate (MeJ), benzothiadiazole (BTH), and methyl jasmonate + benzothiadiazole (MeJ + BTH) elicitors to Monastrell leaves, and pre-fermentative cold maceration. During two seasons, the experiment was carried out to improve the extraction of the phenolic compounds, whose levels may have increased following the application of elicitors in the field, and to assess the effect of both strategies on the wine quality. Discriminant analysis revealed that independently of the meteorological conditions during both years, the pre-harvest response to the application of elicitors MeJ, BTH, and MeJ + BTH, induced increases in total anthocyanin concentration of the treated grapes, allowing the distinction of the treatments. This analysis also allowed the distinction between the types of maceration used, showing greater extraction of phenolic compounds by the application of low temperature, giving wines with a higher index of total phenols, a greater intensity of color, and a lower luminosity.

Graphical Abstract

1. Introduction

Vitis vinifera L. cv Monastrell is the fourth most cultivated red wine grape variety in Spain, where Murcia and Alicante are its main production areas [1]. This variety represents over 80% of the vineyards in the Denomination of Origin Jumilla [2], and is very well adapted to the soil and weather conditions of the area (southeast Spain). It has a high content of phenolic compounds, which are difficult to fully extract during vinification [3]. Analysis of the composition and morphology of the Monastrell skin cell walls showed that its skin is thicker than Syrah and Cabernet Sauvignon [4], which could explain the difficulty of extraction of the phenolic compounds during maceration. This is why, in recent years, more forceful oenological techniques have been studied to help modulate the content of phenolic compounds in Monastrell wines, such as different maceration times [5], the use of low temperature pre-fermentative maceration, must freezing with dry ice, and the use of a maceration enzyme [6]. Among the oenological techniques used in Monastrell, pre-fermentative cold maceration has proved to be an effective method extracting anthocyanins, volatile compounds, and proanthocyanidins more efficiently [6,7].
Different strategies are still being tested in this region in an attempt to optimize the use of available resources with respect to the environment and to improve the polyphenolic quality of the main vine varieties cultivated in order to obtain wines with better organoleptic and functional characteristics since the organoleptic properties of red wines depend on the phenolic compounds [7], and these compounds in turn have shown to have beneficial properties for health, including antioxidant, anticarcinogenic, and antispasmodic properties, enhancement or activation of bile secretion, and antibacterial and antihistaminic agents [8], demonstrating their functional characteristic.
Among these strategies are clonal and sanitary selection programs of the Monastrell [1], deficit irrigation [9], and the foliar application of different elicitors [10,11,12,13,14]. Elicitors were first used to increase plant resistance to pathogens, although it was later found that the mechanism involved increased polyphenol levels. This strategy consists of stimulating and/or potentiating the grapevine defense response by applying exogenous molecules often originating from microbes or plants [11]. Application of elicitors in a concentrated form in a week during the veraison to increase the phenolic compounds has been described [15], that is the critical period during which the developmental changes of polyphenols assume an important role [16]. Some elicitors, such as methyl jasmonate (MeJ) and benzothiadiazole (BTH), have been seen to show a positive effect on increasing the phenolic composition of Monastrell and other varieties [10,12,13,17].
However, the increases achieved in the fresh skins of Monastrell have not been reflected in any great extent in the wines produced, as observed in a previous study [18]. For this reason, the objective of this work was to combine two strategies: the foliar application of two elicitors (MeJ, BTH and MeJ + BTH) in the Monastrell variety, and pre-fermentative cold maceration, in order to guarantee a better extraction of phenolic compounds and obtain higher quality wines.

2. Materials and Methods

2.1. Experimental design

The experiment was carried out over two consecutive years (2016–2017) on the Monastrell variety located in Jumilla, Murcia (southeastern Spain). The study was performed on 14 year old Vitis vinifera (syn. Mourvedre) red wine grapevines grafted onto 1103-Paulsen (clone 249) rootstock and trained to a three-vine vertical trellis system. Vine rows were arranged from N–NW to S–SE with the between-row and within-row spacing of 3 x 1.25 m (x: 636.099; y: 4.249.299).
All treatments were applied to three replicates and were arranged in a complete randomized block design, with 10 vines for each replication. The protocol used to apply the different treatments, as well as the doses used, have been described previously [10]. Plants were sprayed with a water suspension of two elicitors: MeJ (methyl jasmonate; Sigma Aldrich, St. Louis, USA), at a concentration of 10 mM; BTH (benzo-(1,2,3)-thiadiazole-7-carbothioic acid S-methyl ester; Sigma Aldrich, St. Louis, USA) at a concentration of 0.3 mM, and a mixture of both (methyl jasmonate at a concentration of 10 mM and BTH at a concentration of 0.3 mM). To carry out the treatments, aqueous solutions (200 mL per plant) were prepared with Tween 80 (Sigma Aldrich, St. Louis, USA) as the wetting agent (0.1% v/v). Control plants were sprayed with aqueous solution of Tween 80 alone. The treatments were carried out twice, at veraison and 1 week later. When grapes reached technological maturity (maximum sugar/acidity ratio, determined by the control grapes), they were harvested and transported in boxes to the winery for physicochemical analysis and vinification.

2.2. Physicochemical analysis in grapes at harvest

Total soluble solids (°Brix) were measured using an Abbé-type refractometer (Atago RX-5000). Titratable acidity was measured using an automatic titrator (Metrohm, Herisau, Switzerland) with 0.1 N NaOH. Tartaric and malic acids were measured using enzymatic kits from Boehringer 146 Mannheim GmbH (Mannhein, Germany). The methodology used to carry out these analyses is described in OIV (Organisation Internationale de la Vigne et du Vin) (2018) [19].

2.3. Vinifications

All vinifications were made in triplicate in 50-L stainless steel tanks using 50 kg of grapes, which were destemmed, crushed, and sulfited (8 g SO2/100 kg). Total acidity was corrected to 5.5 g/L with tartaric acid, and selected yeasts were added (Uvaferm VRB, Lallemand, 25 g/hL). Two types of vinification were carried out: a pre-fermentative cold maceration (PFCM) followed by traditional maceration (TM), and another using only a traditional maceration.
Pre-fermentative cold maceration (PFCM): Tanks containing crushed grapes were placed in a cold room at 4 °C for 10 days, after which the tanks were returned to the winery to continue the traditional maceration.
Traditional maceration (TM): All vinifications were conducted at 25±1 °C. The fermentative pomace contact period was 10 days. Throughout the fermentation pomace contact period, the cap was punched down twice a day, and the temperature and must density were recorded. At the end of this period, wines were pressed at 1.5 bars in a 75 L tank membrane press. Free-run and press wines were combined and stored at room temperature. The analyses were carried out at the end of alcoholic fermentation (AF) in triplicate.

2.4. Analysis of anthocyanins and flavonols in grapes and wines

Grapes were peeled with a scalpel, and the skins were stored at –20 °C until analysis. Samples (2 g) were immersed in methanol (40 mL) in hermetically closed tubes and placed on a stirring plate at 150 rpm and 25 °C. After 4 h, the methanolic extracts were filtered through the 0.45 μm nylon filters and directly analyzed by HPLC, according to Gil-Muñoz et al. [10]. The HPLC analyses were performed on a Waters 2690 liquid chromatograph (Waters, Milford, PA, USA), equipped with a Waters 996 diode array detector and a Licrochart RP-18 column (Merck, Darmstadt, Germany), 25 · 0.4 cm, 5 lm particle size, using as solvents water plus 5% formic acid (solvent A) and HPLC grade methanol (solvent B) at a flow rate of 1 mL min−1. Elution was performed with a gradient starting with 2% B to reach 32% B in 40 min, isocratic for 15 min, 50% B at 70 min, 60% B at 75 min and then isocratic for 5 min. Chromatograms were recorded at 280 nm (phenolic acids and flavan-3-ols), 320 nm (hydroxycinnamic acids and derivatives), 360 nm (flavonols), and 520 nm (anthocyanins). Anthocyanins were quantified at 520 nm as malvidin-3-glucoside, using malvidin-3-glucoside chloride as external standard (Extrasynthèse, Genay, France). Phenolic acids and flavan-3-ols were quantified at 280 nm, and flavonols at 360 nm using the pure compounds as external standards. For the quantification of hydroxycinnamic derivatives, caftaric acid was quantified as caffeic acid and coutaric acid as coumaric acid.

2.5. Spectrophotometric parameters in wine

Wine was previously centrifuged and color intensity (CI), CIELab parameters, total phenols (TP) and total anthocyanins (TA) were analyzed by a Shimadzu UV–vis spectrophotometer, model 1600PC (Shimadzu, Duisburg, Germany), as described in Paladines-Quezada et al. [18]. CI was calculated as the sum of absorbance at 620 (blue component), 520 (red component), and 420 nm (yellow component) in undiluted wine [20]. The CIELab parameter L* (lightness) was determined by measuring the transmittance of the wine every 10 nm from 380 to 770 nm, using the D65 illuminant and a 10° observer angle. TP was calculated by measuring wine absorbance at 280 nm, according to Ribéreau-Gayon, Pontallier, and Glories [21] and TA by the method proposed by Ho, Silva, and Hogg [22].

2.6. Statistical analysis

Significant differences among wines and grapes and for each variable were assessed by analysis of variance (ANOVA) using the Statgraphics 5.0 Plus package (Statpoint Technologies, Inc., Warrenton, VA, USA). The Duncan test was used to separate the means (p < 0.05) when the ANOVA test was significant; and a multivariate discriminant analysis was applied to identify the most discriminant variables.

3. Results and Discussion

3.1. Grapes

3.1.1. HPLC analysis of Anthocyanins

The anthocyanins in grapes at harvest were quantified by HPLC (Table 1). The results for two consecutive campaigns involving treatment with MeJ, BTH and a mixture of both are presented. As can be seen, there was a clear difference between both years studied, 2016 and 2017. Total anthocyanins in 2016 had almost twice the concentration of those from 2017 (independently of the treatment used), a response that could be explained by the different climatic conditions during these two years (Figure 1A–C), especially in July and August. Likewise, the period between the beginning of the veraison and the technological maturation was affected. This period was 34 days in 2016 and 44 days in 2017.
The anthocyanin profile detected in the Monastrell variety coincided with that detected by Apolinar-Valiente et al. [23], Gil-Muñoz et al. [2], and Hernández-Jiménez et al. [24]. In agreement with these authors, Monastrell contained dihydroxylated anthocyanins (DiOH), cyanidin and peonidin-3-O-glucoside; trihydroxylated (TriOH) anthocyanins, delphinidin, petunidin and malvidin-3-o-glucoside; and acylated anthocyanins, acetates, coumarates andmalvidin-3-caffeate glucoside. The highest percentage corresponded to the anthocyanins monoglucosides, and malvidin-3-O-glucoside was the most abundant (Table 1), as is usual in young red wines [25,26].
During 2016, the treatments with the elicitors used (MeJ, BTH and MeJ + BTH) stimulated the polyphenol biosynthetic route, increasing the concentration of almost all the anthocyanins present in Monastrell (Table 1), such as DiOH, TriOH, acetates, and coumarates. The combination of MeJ + BTH, while increasing the anthocyanin concentrations compared with the control, did not show a synergic effect. Ruiz-García et al. [13] also reported that the joint application of MeJ + BTH on Monastrell grapes did not improve the concentration of anthocyanins compared with the separate application of the elicitors.
In 2017, the rainfall between July and August (Figure 1A) was greater than in the previous year (2.6 mm in 2016 and 54.2 mm in 2017), at a time when there is great physiological activity due to the growth and maturation of the berries. During this period, grapes accumulate a significant amount of water, which increases berry weight. This higher percentage of precipitation may have led to a higher absorption of humidity, accelerating berry growth through cell expansion [27]. Table 2 shows that the berries size during 2016 were smaller and had a higher concentration in °Brix than those of 2017. The results of the weight of 100 berries and °Brix of 2016 were presented in Paladines-Quezada et al. [18]. Reyero et al. [28] also observed that Monastrell grapes reached a greater size with increased rainfall, since the variety has a rapid response to water availability. This also results in a dilution of the phenolic compounds, which are mainly located in the skins [29]; since anthocyanins appear and accumulate from the time of veraison and during maturation [30].
To the greater precipitation of 2017 must be added a greater number of days with maximum temperatures above 30 °C (33 days; Figure 1C) compared to 2016 (22 days; Figure 1B), from the beginning of veraison until harvesting. Fernández-López et al. [31] showed that pigmentation in the Monastrell grape develops rapidly and, in the second week after veraison, the grape color is practically dark blue; although it has to be borne in mind that the accumulation and distribution of anthocyanins in the skin may vary from year to year depending on climatic conditions [32]. It has also been described that temperatures above 30 °C negatively influence sugar accumulation and anthocyanin levels [33], either by degradation or the inhibition of synthesis, or both [34,35]; and that interannual differences in a variety may be greater than intervarietal differences in the same year [36,37].
However, during 2017, the grapes treated with MeJ + BTH were the only ones that presented a higher concentration of anthocyanins/gram of skin with respect to the control grapes (Table 1), especially in anthocyanins glucosides such as delphinidin, cyanidin, petunidin, and peonidin, which was also confirmed from the total of non-acylated anthocyanins and DiOH. This time, the combination of MeJ + BTH elicitors may have shown a synergetic effect in stimulating the synthesis of anthocyanins mentioned above. By contrast, the grapes treated with MeJ registered a lower concentration of anthocyanins than control grapes, while the treatment with BTH did not produce significant differences compared to the control. The lower concentration of anthocyanins during 2017 could also be due to early technological maturation (maximum sugar/acidity ratio) as a result of high temperatures, bringing forward the beginning of veraison (approximately 15 days earlier than in 2016), and pushing back maturation of the phenolic compounds, thus avoiding an optimal maturation. In contrast, Pérez-Magariño et al. [38] and Sims and Bates [39] observed that wines from grapes harvested about two weeks after reaching technological maturity had higher color intensity and higher content of anthocyanins and total polyphenols than those from grapes at that point of maturity.

3.1.2. HPLC analysis of Flavonols

An analysis of flavonols present in grapes was carried out (Table 3), since they are closely related to anthocyanins in the biosynthetic path. Flavonols are responsible for the yellow color of white wines, and, although they are found in lower proportions in red varieties, their presence is important since they form very stable copigmentation complexes with anthocyanins [40].
Independently of the treatments carried out, the results obtained in 2017 showed considerable increases in the concentration of isorhamnetin, as well as an important decrease in quercetin. As was mentioned above, the high temperatures that the grapes were exposed to this year (Figure 1C), together with a greater number of days between veraison and harvest, may have caused flavonols to increase, and the degradation or inhibition of quercetin, compared with the values recorded in 2016. Some authors point out that the biosynthesis of flavonols in grapes depends, to a greater extent than other phenolic compounds, on solar exposure, which favors their accumulation in grapes by increasing the hours of solar radiation [41,42,43]. Studies have been carried out on the effect of insolation on the phenolic composition of Syrah [44] and Merlot grapes [34], in which the authors observed that the concentration of flavonols, especially quercetin-3-glucoside, was favored in grapes with greater exposure to solar radiation. However, an excess of UV-B radiation can negatively affect the content of glucosylated flavonols [45].
The treatments carried out in the field during 2016 did not influence the concentration of any flavonol with respect to the values of control grapes. However, in 2017, treatments with MeJ and MeJ + BTH halved the concentrations of myricetin, and the concentration of quercetin in grapes treated with MeJ + BTH was also substantially reduced, so that these grapes were the only ones that presented a lower concentration of total flavonols compared to the control. However in the same year, the treatments with MeJ, BTH and MeJ + BTH produced a substantial increase in the concentration of kampferol with respect to the control grapes.

3.2. Wines

3.2.1. Chromatic characteristics (spectrophotometric measurements)

The results for the 2016 vinification with traditional maceration (Figure 2) were presented in Paladines-Quezada et al. [18]. In an analysis of the chromatic characteristics of the wines (Figure 2 and Figure 3), the difference between the two years (independently of the treatments carried out in the field or the oenological technique used) were seen to be substantial. The values obtained in 2016 were almost twice higher in some cases than in 2017, which coincides with the results for the grapes (Table 1).
Thus, in 2016, wines made from grapes treated with MeJ and BTH using traditional maceration (TM) showed higher concentrations of total anthocyanins (Figure 2A), resulting in wines with a higher color intensity (Figure 2C). On the other hand, wines made with PFCM + TM showed much higher levels than those made with TM. The application of cold helped to extract a higher percentage of total anthocyanins, even in grapes treated with MeJ + BTH, which, in the case of TM, did not differ from control levels. The application of the PFCM + TM technique allowed the phenolic compounds to be extracted to a greater extent in those grapes that increased their phenolic composition through the use of elicitors, giving wines with a higher index of total phenols, a greater intensity of color and a lower luminosity. The priority diffusion of anthocyanins during the cold pre-fermentative phase may explain the increase in color normally observed in the wines so obtained [7]. These results show that anthocyanins from Monastrell skins are more difficult to extract, as other authors also indicated [3]; and may benefit from an extended cold maceration.
In the 2017 season, only wines made with grapes treated with BTH and PFCM + TM showed increases in the concentration of total anthocyanins compared to the control (Figure 3A), providing wines with greater color intensity and lower luminosity (Figure 3C,D). Ruiz-García et al. [12] also demonstrated that the wines obtained from Monastrell grapes treated with BTH showed higher color intensity and total phenolic content than the wines made from control grapes; these authors also indicated that this treatment could be of interest for obtaining wines with a deep and stable color and a potentially higher market value. Likewise, several studies have demonstrated the positive effect of applying low temperatures on the extraction of phenolic compounds [6,46].

3.2.2. HPLC analysis of Anthocyanins

The wine anthocyanin concentration obtained by HPLC (Table 4 and Table 5) showed notable differences compared to the anthocyanin concentration analyzed in berries (Table 1). Revilla et al. [47] observed that this change seems to take place during fermentation, and that the differences found between grapes and wines may be due to differences in the extraction ratio of anthocyanins, degradation, and polymerization reactions and the different adsorption capacity in the yeast cell walls.
The wines elaborated using grapes treated with MeJ and TM during 2016 (Table 4) showed a higher concentration of total anthocyanins, the TriOH anthocyanins (delphinidin, petunidin, and malvidin-3-O-glucosides) were the only ones with a concentration higher than that of the control. Wines made from grapes treated with BTH and TM, only showed higher concentrations with respect to the control in malvidin-3-O-glucosides and malvidin coumaryglucosides (cis- and trans-). Wines obtained from grapes treated with MeJ + BTH, barely increased some of their principal anthocyanins, not enough to produce significant differences from the control wines. In the same year, 2016, the oenological technique PFCM + TM slightly increased the difference between the control wine and those made from grapes treated with elicitors, especially as regards TriOH anthocyanin compounds. Wines made from grapes treated with BTH were the only ones that presented higher concentrations of total anthocyanins than the control. It should be noted that this cold pre-fermentation increased the extraction of some minority anthocyanin, practically doubling the concentration of vitisins, peonidin acetate, and petunidin coumarate, and even increasing (x4) the concentration of delphinidin acetate.
The wines in 2017 made from grapes treated with MeJ and MeJ + BTH, and elaborated with TM (Table 5), presented lower concentrations of anthocyanins than the control, especially as regards malvidin-3-O-glucoside, and most acetates and coumarates. Wines elaborated with grapes treated with BTH alone did not differ from control wines. In the same year, PFCM + TM led to the increased extraction of most anthocyanins from BTH-treated grapes, as in 2016; non-acylates anthocyanins, acylates, DiOH and TriOH, acetates and coumarates were increased; in fact, it was the only wine that improved its concentration of anthocyanins with respect to the control wine. The wines elaborated from grapes treated with MeJ + BTH presented a higher concentration of delphinidin, cyanidin, and peonidin 3-O-glucoside, surpassing the control wine in DiOH compounds. Other authors also found an increase in anthocyanins in Tempranillo, Merlot, and Syrah wines when pre-fermentative cold maceration was used [48,49].

3.2.3. HPLC analysis of Flavonols

The wines produced by TM in 2016 using grapes treated with elicitors (Table 6) did not present differences in the concentration of flavonols with respect to the control wines (which was not considered surprising in light of the fact that the treatments did not produce significant increases in the same grapes). In this case, the highest flavonol concentrations were obtained for quercetin-3-galactoside and laricitrine-3-glucoside. However, the oenological technique PFCM + TM increased the extraction of flavonols over control levels, particularly in wines made with grapes treated with MeJ and BTH. The impact of using the PFCM + TM technique for winemaking is of interest since it led to a substantial decrease in the concentration of quercetin-3-galactoside and a substantial increase in the extraction of quercetin-3-glucuronide, myricetin, quercetin and laricitrin-3-glucoside.
In the 2017 vinifications using TM (Table 7), wines made from grapes treated with MeJ and MeJ + BTH presented lower concentrations of flavonols than the control wines, while higher concentrations of quercetin, kampferol and siringetin were detected in wines elaborated with grapes treated with BTH. On the other hand, the results of using PFCM + TM hardly changed from those obtained by TM. There was a slight increase in flavonol extraction in wines made from BTH-treated grapes, which were the only wines with a higher concentration of total flavonols compared to the control wines.
As occurred in the comparison of anthocyanin profiles in grapes and wines, differences were found between the grape and wine profiles of flavonols, the grapes were produced using different agricultural techniques (the application of elicitors in our case) and react differently, depending on the climatic conditions, while the different processes of maceration may also have influenced the concentration of flavonols analyzed. It is therefore difficult to talk of a characteristic flavonols profile in Monastrell, such as that detected by Makris et al. [45] and Martínez-Pinilla et al. [50], who mentioned quercetin-3-glucuronide as one of the major flavonols in Monastrell wines.

3.3. Multivariate Discriminant Analysis

To improve the visualization and interpretation of all the results obtained, and to check whether the measured variables could distinguish between pre-established groups (vine treatments with elicitors and types of maceration), a multivariate discriminant analysis was made. This analysis revealed that, independently of the meteorological conditions during both campaigns, treatment with elicitors increased the concentrations of phenolic compounds in the treated grapes (Figure 4A); achieving a clear distinction among treatments. However, this distinction was higher in 2016 than in 2017, and the treatment with MeJ produced the greatest increases. Seven discriminant functions were obtained, the first explaining 90% of the variance. The standardized coefficients of this discriminant function showed that the group of acetates and coumarates in anthocyanins, and quercetin-3-glucoside and laricitrin-3-glocoside in flavonols contributed to the most discrimination between treatments.
The discriminant analysis between the two types of maceration used, allowed to distinguish between traditional maceration and that in which cold was applied, especially in 2016 (Figure 4B); showing a higher proportion of phenolic compounds by the application of low temperatures. However, during 2017 an overlap between the results was observed. This lower distinction between the groups analyzed, could be explained by the lower increase of phenolic compounds reached in the grapes during 2017. In this case, three discriminant functions were obtained in wines; the first function explained 92% of the variance and the variables with the greatest discriminant power were color intensity, total anthocyanins and total phenols.

4. Conclusions

The higher precipitation, together with a greater number of days with temperatures above 30 °C between July and August 2017, induced variations in the processes of Monastrell maturation, affecting to a greater extent the response to the treatments in the vineyard, compared with 2016. These changes included an earlier beginning to veraison, increases in berry size (generating the dilution of phenolic compounds), the degradation or inhibition of anthocyanin synthesis, as well as an increase in some minor flavonols. Spectrophotometric measurements in wine samples showed that the application of the PFCM + TM technique allowed the phenolic compounds to be extracted to a greater extent in those grapes that increased their phenolic composition through the use of elicitors, giving wines with a higher index of total phenols, a greater intensity of color, and a lower luminosity. Finally, the discriminant analysis revealed that independently of the meteorological conditions during both years, the different treatments with elicitors induced increases in the concentrations of phenolic compounds in the treated grapes, allowing the distinction of the treatments. This analysis allowed the distinction between the types of maceration used, showing a higher proportion of phenolic compounds by the application of low temperature.

Author Contributions

Formal Analysis: D.F.P.-Q., J.D.M.-O., A.M.-M.; Data Curation: J.D.M.-O.; Investigation: J.I.F.-F.; Methodology: J.I.F.-F., R.G.-M.; Conceptualization: J.A.B.-S.; Writing – Original Draft: D.F.P.-Q.; Funding Acquisition: R.G.-M.; Project Administration: R.G.-M.; Resources: R.G.-M.

Funding

This work was made possible by financial assistance from the INIA (Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria) (Project: RTA2013-00053-C03-02), and IMIDA (Instituto Murciano de Investigación y Desarrollo Agroalimentario). Diego F. Paladines-Quezada is the holder of an FPI fellowship from the Spanish Government.

Acknowledgments

The authors thank the “Enological Station of Jumilla” for their partial support of this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Martínez-Cutillas, A.; Ruíz-García, L.; Fernández-Fernández, J.I. Material vegetal de Monastrell. In EL LIBRO DE LA MONASTRELL; Martínez-Cutillas, A., Riquelme, F., Eds.; Cofradía del Vino Reino de la Monastrel: Murcia, Spain, 2018; pp. 45–70. ISBN 978-84-09-06249-2. [Google Scholar]
  2. Gil-Muñoz, R.; Fernández-Fernández, J.I.; Vila-López, R.; Martinez-Cutillas, A. Anthocyanin profile in Monastrell grapes in six different areas from Denomination of Origen Jumilla during ripening stage. Int. J. Food Sci. Technol. 2010, 45, 1870–1877. [Google Scholar] [CrossRef]
  3. Gomez-Plaza, E.; Bautista-Ortín, A.B.; Gil-Muñoz, R. Bioquímica y aptitud enológica de Monastrell. In EL LIBRO DE LA MONASTRELL; Martínez-Cutillas, A., Riquelme, F., Eds.; Cofradía del Vino Reino de la Monastrel: Murcia, Spain, 2018; pp. 121–143. ISBN 978-84-09-06249-2. [Google Scholar]
  4. Ortega-Regules, A.; Ros-García, J.M.; Bautista-Ortín, A.B.; López-Roca, J.M.; Gómez-Plaza, E. Differences in morphology and composition of skin and pulp cell walls from grapes (Vitis vinifera L.): Technological implications. Eur. Food Res. Technol. 2008, 227, 223–231. [Google Scholar] [CrossRef]
  5. Gómez-Plaza, E.; Gil-Muñoz, R.; López-Roca, J.M.; Martínez-Cutillas, A.; Fernández-Fernández, J.I. Phenolic compounds and color stability of red wines: Effect of skin maceration time. Am. J. Enol. Vitic. 2001, 52, 266–270. [Google Scholar]
  6. Busse-Valverde, N.; Gómez-Plaza, E.; López-Roca, J.M.; Gil-Muñoz, R.; Bautista-Ortín, A.B. The extraction of anthocyanins and proanthocyanidins from grapes to wine during fermentative maceration is affected by the enological technique. J. Agric. Food Chem. 2011, 59, 5450–5455. [Google Scholar] [CrossRef]
  7. Álvarez, I.; Aleixandre, J.L.; García, M.J.; Lizama, V. Impact of prefermentative maceration on the phenolic and volatile compounds in Monastrell red wines. Anal. Chim. Acta 2006, 563, 109–115. [Google Scholar] [CrossRef]
  8. Pignatelli, P.; Ghiselli, A.; Buchetti, B.; Carnevale, R.; Natella, F.; Germanò, G.; Fimognari, F.; Di Santo, S.; Lenti, L.; Violi, F. Polyphenols synergistically inhibit oxidative stress in subjects given red and white wine. Atherosclerosis 2006, 188, 77–83. [Google Scholar] [CrossRef]
  9. Romero, P.; García García, J.; Fernández-Fernández, J.I.; Muñoz, R.G.; del Amor Saavedra, F.; Martínez-Cutillas, A. Improving berry and wine quality attributes and vineyard economic efficiency by long-term deficit irrigation practices under semiarid conditions. Sci. Hortic. (Amsterdam). 2016, 203, 69–85. [Google Scholar] [CrossRef]
  10. Gil-Muñoz, R.; Bautista-Ortín, A.B.; Ruiz-García, Y.; Fernández-Fernández, J.I.; Gómez-Plaza, E. Improving phenolic and chromatic characteristics of Monastrell, Merlot and Syrah wines by using methyl jasmonate and benzothiadiazole. J. Int. des Sci. la Vigne du Vin 2017, 51, 17–27. [Google Scholar]
  11. Gil-Muñoz, R.; Fernández-Fernández, J.I.; Crespo-Villegas, O.; Garde-Cerdán, T. Elicitors used as a tool to increase stilbenes in grapes and wines. Food Res. Int. 2017, 98, 34–39. [Google Scholar] [CrossRef]
  12. Ruiz-García, Y.; Romero-Cascales, I.; Gil-Muñoz, R.; Fernández-Fernández, J.I.; López-Roca, J.M.; Gómez-Plaza, E. Improving grape phenolic content and wine chromatic characteristics through the use of two different elicitors: Methyl jasmonate versus benzothiadiazole. J. Agric. Food Chem. 2012, 60, 1283–1290. [Google Scholar] [CrossRef]
  13. Ruiz-García, Y.; Gil-Muñoz, R.; López-Roca, J.M.; Martínez-Cutillas, A.; Romero-Cascales, I.; Gómez-Plaza, E. Increasing the Phenolic Compound Content of Grapes by Preharvest Application of Abcisic Acid and a Combination of Methyl Jasmonate and Benzothiadiazole. J. Agric. Food Chem. 2013, 61, 3978–3983. [Google Scholar] [CrossRef]
  14. Ruiz-García, Y.; Romero-Cascales, I.; Bautista-Ortín, A.B.; Gil-Muñoz, R.; Martínez-Cutillas, A.; Gómez-Plaza, E. Increasing bioactive phenolic compounds in grapes: Response of six monastrell grape clones to benzothiadiazole and methyl jasmonate treatments. Am. J. Enol. Vitic. 2013, 64, 459–465. [Google Scholar] [CrossRef]
  15. Iriti, M.; Rossoni, M.; Borgo, M.; Faoro, F. Benzothiadiazole enhances resveratrol and anthocyanin biosynthesis in grapevine, meanwhile improving resistnce to Botrytis cinerea. J. Agric. Food Chem. 2004, 52, 4406–4413. [Google Scholar] [CrossRef]
  16. Boss, P.K.; Davies, C.; Robinson, S.P. Analysis of the Expression of Anthocyanin Pathway Genes ib Shyraz and implications for pathway regulation. Plant Physiol. 1996, 111, 1059–1066. [Google Scholar] [CrossRef]
  17. Ruiz-García, Y.; López-Roca, J.M.; Bautista-Ortín, A.B.; Gil-Muñoz, R.; Gómez-Plaza, E. Effect of combined use of benzothiadiazole and methyl jasmonate on volatile compounds of monastrell wine. Am. J. Enol. Vitic. 2014, 65, 238–243. [Google Scholar] [CrossRef]
  18. Paladines-Quezada, D.F.; Moreno-Olivares, J.D.; Fernández-Fernández, J.I.; Bautista-Ortín, A.B.; Gil-Muñoz, R. Influence of methyl jasmonate and benzothiadiazole on the composition of grape skin cell walls and wines. Food Chem. 2019, 277, 691–697. [Google Scholar] [CrossRef]
  19. OIV. ORGANISATION INTERNATIONALE DE LA VIGNE ET DU VIN; OIV: Paris, France, 2018; ISBN 979-10-91799-85-0. [Google Scholar]
  20. Glories, Y. La couleur des vins rouges. lre partie: les équilibres des anthocyanes et des tanins. OENO One 1984, 18, 195–217. [Google Scholar] [CrossRef]
  21. Ribéreau-Gayon, P.; Pontallier, P.; Glories, Y. Some interpretations of colour changes in young red wines during their conservation. J. Sci. Food Agric. 1983, 34, 505–516. [Google Scholar] [CrossRef]
  22. Ho, P.; Silva, M.D.C.M.; Hogg, T.A. Changes in colour and phenolic composition during the early stages of maturation of port in wood, stainless steel and glass. J. Sci. Food Agric. 2001, 81, 1269–1280. [Google Scholar] [CrossRef] [Green Version]
  23. Apolinar-Valiente, R.; Romero-Cascales, I.; Williams, P.; Gómez-Plaza, E.; López-Roca, J.M.; Ros-García, J.M.; Doco, T. Oligosaccharides of Cabernet Sauvignon, Syrah and Monastrell red wines. Food Chem. 2015, 179, 311–317. [Google Scholar] [CrossRef]
  24. Hernández-Jiménez, A.; Gil-Muñoz, R.; Ruiz-García, Y.; López-Roca, J.M.; Martinez-Cutillas, A.; Gómez-Plaza, E. Evaluating the polyphenol profile in three segregating grape (Vitis vinifera L.) populations. J. Anal. Methods Chem. 2013, 572896. [Google Scholar]
  25. Hermosín-Gutiérrez, I.; García-Romero, E. Antocianos de variedades tintas cultivadas en la Mancha: perfiles varietales característicos de la uva y de los vinos monovarietales y evolución durante la maduración de la baya. Alimentaria. Alimentaria 2004, 352, 127–139. [Google Scholar]
  26. Góméz-Míguez, M.; Heredia, F.J. Effect of the maceration technique on the relationships between anthocyanin composition and objective color of Syrah wines. J. Agric. Food Chem. 2004, 52, 5117–5123. [Google Scholar] [CrossRef]
  27. Coombe, B.; Bishop, G. Development of the grape berry. II. Changes in diameter and deformability during veraison. Aust. J. Agric. Res. 1980, 31, 499–509. [Google Scholar] [CrossRef]
  28. Reyero, J.R.; Garijo, J.; Pardo, F.; Salinas, M.R. Influencia del riego excesivo en la producción y en el contenido polifenólico de diferentes variedades viníferas. Enólogos 1999, 3, 17–21. [Google Scholar]
  29. Gómez-Plaza, E.; Gil-Muñoz, R.; Hernández-Jiménez, A.; López-Roca, J.M.; Ortega-Regules, A.; Martínez-Cutillas, A. Studies on the anthocyanin profile of Vitis Vinifera intraspecific hybrids (Monastrell × Cabernet Sauvignon). Eur. Food Res. Technol. 2008, 227, 479–484. [Google Scholar] [CrossRef]
  30. Ribéreau-Gayon, P.; Glories, Y. Structure of condensed phenolic compounds in Vinifera grapes and wine. Influence of ripening and infection by Botrytis cinerea on phenolic content. In Proceedings of the University of California, Davis Grape and Wine Centennial Symposium, Webb, A. D. (Ed.), University of California Press, Oakland, CA, USA, 1980; pp. 228–234. [Google Scholar]
  31. Fernández-López, J.A.; Almela, L.; Muñoz, J.A.; Hidalgo, V.; Carreño, J. Dependence between colour and individual anthocyanin content in ripening grapes. Food Res. Int. 1998, 31, 667–672. [Google Scholar] [CrossRef]
  32. Vivas de Gaulejac, N.; Vivas, N.; Guerra, C.; Nonier, M. Anthocyanin in grape skins during the maturation of Vitis vinifera L. cv. Cabernet Sauvignon and Merlot Noir from different Bordeaux terroirs. J. Int. des Sci. la Vigne du Vin 2001, 35, 149–156. [Google Scholar] [CrossRef]
  33. Bergqvist, J.; Dokoozlian, N.; Ebisuda, N. Sunlight exposure and temperature effects on berry growth and composition of Cabernet Sauvignon and Grenache in the Central San Joaquin Valley of California. Am. J. Enol. Vitic. 2001, 52, 1–7. [Google Scholar]
  34. Spayd, S.E.; Tarara, J.M.; Mee, D.L.; Ferguson, J.C. Separation of sunlight and temperature effects on the composition of Vitis vinifera cv. Merlot berries. Am. J. Enol. Vitic. 2002, 53, 171–182. [Google Scholar]
  35. Yamane, T.; Jeong, S.T.; Goto-Yamamoto, N.; Koshita, Y.; Kobayashi, S. Effects of temperature on anthocyanin biosynthesis in grape berry skins. Am. J. Enol. Vitic. 2006, 57, 54–59. [Google Scholar]
  36. Cacho, J.; Fernandez, P.; Ferreira, V.; Castells, J.E. Evolution of five anthocyanidin-3-glucosides in the skin of the Tempranillo, Moristel, and Garnacha grape varieties and influence of climatological variables. Am. J. Enol. Vitic. 1992, 432, 44–248. [Google Scholar]
  37. Ortega Regules, A.E. Antocianos, taninos y composición de la pared celular en distintas variedades de uva. Evolución durante la maduración e implicaciones tecnológicas.; Universidad de Murcia: Murcia, Spain, 2006. [Google Scholar]
  38. Pérez-Magariño, S.; González-San José, M.L. Evolution of flavanols, anthocyanins and their derivatives during the aging of red wines, elaborated from grapes harvested at different stages of ripening. J. Agric. Food Chem. 2004, 52, 1181–1189. [Google Scholar] [CrossRef] [PubMed]
  39. Sims, C.; Bates, R.P. Effects of skin fermentation time on the phenols, ellagic acid sediment and sensory characteristics of a red Vitis rotundifolia wine. Am. J. Enol. Vitic. 1994, 45, 56–62. [Google Scholar]
  40. Boulton, R. The copigmentation of anthocyanins and its role in the color of red wine: A critical review. Am. J. Enol. Vitic. 2001, 52, 67–87. [Google Scholar]
  41. Castillo-Muñoz, N.; Gómez-Alonso, S.; García-Romero, E.; Gómez, M.V.; Velders, A.H.; Hermosín-Gutiérrez, I. Flavonol 3-O-glycosides series of Vitis vinifera Cv. Petit Verdot red wine grapes. J. Agric. Food Chem. 2009, 57, 209–219. [Google Scholar] [CrossRef]
  42. Koyama, K.; Ikeda, H.; Poudel, P.R.; Goto-Yamamoto, N. Light quality affects flavonoid biosynthesis in young berries of Cabernet Sauvignon grape. Phytochemistry 2012, 78, 54–64. [Google Scholar] [CrossRef]
  43. Mattivi, F. Gli indici di maturazione delle uve e la loro importanza. Quad. Vitic. Enol. Univ. Torino 2006, 28, 27–40. [Google Scholar]
  44. Downey, M.O.; Harvey, J.S.; Robinson, S.P. The effect of bunch shading on berry development and flavonoid accumulation in Shiraz grapes. Aust. J. Grape Wine Res. 2008, 10, 55–73. [Google Scholar] [CrossRef]
  45. Makris, D.P.; Kallithraka, S.; Kefalas, P. Flavonols in grapes, grape products and wines: Burden, profile and influential parameters. J. Food Compos. Anal. 2006, 19, 396–404. [Google Scholar] [CrossRef]
  46. Aleixandre-Tudo, J.L.; du Toit, W. Cold maceration application in red wine production and its effects on phenolic compounds: A review. LWT 2018, 95, 200–208. [Google Scholar] [CrossRef]
  47. Revilla, E.; García-Beneytez, E.; Cabello, F.; Martín-Ortega, G.; Ryan, J.M. Value of high-performance liquid chromatographic analysis of anthocyanins in the differentiation of red grape cultivars and red wines made from them. J. Chromatogr. A 2001, 915, 53–60. [Google Scholar] [CrossRef]
  48. Lasanta-Melero, C. Estudio y aplicación de nuevos procesos para la mejora de la elaboración de vinos tintos en zonas de clima cálido; Universidad de Cádiz: Cádiz, Spain, 2009. [Google Scholar]
  49. Heredia, F.J.; Escudero-Gilete, M.L.; Hernanz, D.; Gordillo, B.; Meléndez-Martínez, A.J.; Vicario, I.M.; González-Miret, M.L. Influence of the refrigeration technique on the colour and phenolic composition of syrah red wines obtained by pre-fermentative cold maceration. Food Chem. 2010, 118, 377–383. [Google Scholar] [CrossRef]
  50. Martínez-Pinilla, O.; Martínez-Lapuente, L.; Guadalupe, Z.; Ayestarán, B. Sensory profiling and changes in colour and phenolic composition produced by malolactic fermentation in red minority varieties. Food Res. Int. 2012, 46, 286–293. [Google Scholar] [CrossRef]
Figure 1. (A) Monthly evolution of rainfall recorded on the experimental farm during 2016 and 2017. (B) Daily evolution of maximum temperatures (above 30 °C) recorded on the experimental farm during 2016. (C) Daily evolution of maximum temperatures (above 30 °C) recorded on the experimental farm during 2017.
Figure 1. (A) Monthly evolution of rainfall recorded on the experimental farm during 2016 and 2017. (B) Daily evolution of maximum temperatures (above 30 °C) recorded on the experimental farm during 2016. (C) Daily evolution of maximum temperatures (above 30 °C) recorded on the experimental farm during 2017.
Biomolecules 09 00671 g001
Figure 2. Wine chromatic characteristics in 2016. Total Anthocyanins (A), Total Phenols (B), Color intensity (C), and Luminosity (L*) (D). Different letters within the same oenological technique (TM or PFCM + TM) indicate significant differences according to the Duncan test (p < 0.05). Abbreviations: MEJ: methyl jasmonate; BTH: benzothiadiazole; TM: traditional maceration; PFCM: pre-fermentative cold maceration.
Figure 2. Wine chromatic characteristics in 2016. Total Anthocyanins (A), Total Phenols (B), Color intensity (C), and Luminosity (L*) (D). Different letters within the same oenological technique (TM or PFCM + TM) indicate significant differences according to the Duncan test (p < 0.05). Abbreviations: MEJ: methyl jasmonate; BTH: benzothiadiazole; TM: traditional maceration; PFCM: pre-fermentative cold maceration.
Biomolecules 09 00671 g002
Figure 3. Wine chromatic characteristics in 2017. Total Anthocyanins (A), Total Phenols (B), Color intensity (C), and Luminosity (L*) (D). Different letters within the same oenological technique (TM or PFCM + TM) indicate significant differences according to the Duncan test (p < 0.05). Abbreviations: MEJ: methyl jasmonate; BTH: benzothiadiazole; TM: traditional maceration; PFCM: pre-fermentative cold maceration.
Figure 3. Wine chromatic characteristics in 2017. Total Anthocyanins (A), Total Phenols (B), Color intensity (C), and Luminosity (L*) (D). Different letters within the same oenological technique (TM or PFCM + TM) indicate significant differences according to the Duncan test (p < 0.05). Abbreviations: MEJ: methyl jasmonate; BTH: benzothiadiazole; TM: traditional maceration; PFCM: pre-fermentative cold maceration.
Biomolecules 09 00671 g003
Figure 4. Distribution of the grapes (A) and wines (B) samples, in the coordinate system defined by the discriminants functions, used to differentiate among treatments.
Figure 4. Distribution of the grapes (A) and wines (B) samples, in the coordinate system defined by the discriminants functions, used to differentiate among treatments.
Biomolecules 09 00671 g004aBiomolecules 09 00671 g004b
Table 1. Concentration of anthocyanins by HPLC in Monastrell grape berry skin treated with MeJ, BTH and MeJ + BTH.
Table 1. Concentration of anthocyanins by HPLC in Monastrell grape berry skin treated with MeJ, BTH and MeJ + BTH.
Anthocyanins (µg/g skin)20162017
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
Del1129 ± 161 a1457 ±± 255 b1361 ± 34 ab1401 ± 57 b759 ± 21 a859 ± 120 a783 ± 56 a1039 ± 49 b
Cyan1271 ± 6 a1442 ± 19 b1296 ± 40 a1708 ± 21 c511 ± 42 a1145 ± 270 b573 ± 124 a1120 ± 70 b
Pet1276 ± 81 a1667 ± 117 c1609 ± 16 c1492 ± 8 b889 ± 17 a846 ± 120 a885 ± 55 a1061 ± 43 b
Pn1387 ± 102 a1731 ± 6 b1673 ± 24 ab1684 ± 17 ab567 ± 52 a749 ± 137 b539 ± 43 a995 ± 1 c
Malv4108 ± 195 a5579 ± 587 b5714 ± 171 b4535 ± 367 a3048 ± 187 b2080 ± 246 a2675 ± 295 b2968 ± 106 b
Del Ac31 ± 9 a46 ± 4 b42 ± 4 ab44 ± 3 ab29 ± 2 a30 ± 2 a31 ± 1 a32 ± 2 a
Cyan Ac30 ± 3 a44 ± 3 bc39 ± 4 b45 ± 3 c22 ± 1 a33 ± 4 b23 ± 1 a35 ± 1 b
Pet Ac54 ± 7 a90 ± 9 c85 ± 8 bc75 ± 4 b53 ± 2 ab46 ± 8 a52 ± 3 ab58 ± 1 b
Pn Ac41 ± 5 a59 ± 4 b58 ± 9 b52 ± 9 ab24 ± 1 a24 ± 3 a23 ± 1 a32 ± 0 b
Malv Ac 208 ± 22 a311 ± 18 c315 ± 13 c260 ± 20 b217 ± 15 c133 ± 14 a176 ± 21 b173 ± 2 b
Malv Coum cis27 ± 5 a33 ± 3 a41 ± 3 b30 ± 3 a34 ± 2 c23 ± 2 a31 ± 4 bc25 ± 1 ab
Del Coum 113 ± 23 a133 ± 9 ab161 ± 3 c138 ± 8 b113 ± 2 b82 ± 14 a105 ± 10 b99 ± 9 ab
Malv Caf 26 ± 0 a28 ± 4 ab32 ± 2 b26 ± 1 a26 ± 6 a18 ± 5 a19 ± 1 a17 ± 2 a
Cyan Coum 141 ± 2 a149 ± 10 ab164 ± 9 b174 ± 9 b89 ± 10 a93 ± 8 ab86 ± 8 a113 ± 9 b
Pet Coum196 ± 31 a224 ± 23 a291 ± 4 b228 ± 15 a199 ± 6 c113 ± 25 a175 ± 24 bc141 ± 9 ab
Pn Coum 163 ± 17 a160 ± 41 a211 ± 34 a180 ± 26 a94 ± 8 b68 ± 7 a83 ± 10 ab102 ± 4 b
Mal Coum trans 808 ± 70 a1105 ± 125 b1251 ± 39 b932 ± 92 a769 ± 58 c378 ± 50 a627 ± 117 bc513 ± 26 ab
Total anthocyanins 11009 ± 524 a14257 ± 1078 b14344 ± 790 b13003 ± 842 b7441 ± 258 b6721 ± 178 a6885 ± 442 ab8522 ± 73 c
Total nonacylated9171 ± 350 a11876 ± 1055 b11654 ± 677 b10820 ± 675 b5774 ± 185 a5679 ± 80 a5454 ± 288 a7183 ± 128 b
Total acylated 1838 ± 180 a2380 ± 70 b2690 ± 118 c2184 ± 167 b1668 ± 75 c1042 ± 98 a1431 ± 187 ab1339 ± 56 b
Total TRIOH 6513 ± 491 a8703 ± 1080 b8685 ± 219 b7428 ± 395 a4696 ± 195 b3785 ± 486 a4343 ± 360 ab5068 ± 198 b
Total DIOH 2658 ± 149 a3173 ± 35 ab2969 ± 475 ab3392 ± 281 b1078 ± 73 a1894 ± 406 b1111 ± 165 a2115 ± 69 b
Total acetates 364 ± 41 a550 ± 45 c539 ± 24 bc477 ± 31 b345 ± 14 b265 ± 17 a 305 ± 24 b330 ± 4 b
Total Coumarates 1447 ± 139 a1802 ± 63 b2119 ± 98 c1682 ± 137 b1297 ± 63 c758 ± 76 a1107 ± 163 bc992 ± 58 ab
Abbreviations: Del, delphinidin 3-O-glucoside; Cyan, cyanidin-3-O-glucoside; Pet, petunidin 3-O-glucoside; Pn, peonidin-3-O-glucoside; Malv, malvidin-3-O-glucoside; Ac, acetylglucosides; Coum, coumarylglucosides; Caf, caffeate glucoside; DiOH. Di-hydroxylated anthocyanins; TriOH. Tri-hydroxylated anthocyanins. Data represent means ± SD. Different letters in the same row and for each year indicate significant differences according to the Duncan test (p < 0.05).
Table 2. Physicochemical characteristics of grapes at harvest.
Table 2. Physicochemical characteristics of grapes at harvest.
YearTreatmentsWeight 100 berriesBrixpHTotal acidityg/L
Tartaric acidMalic acid
2016Control148 ± 6 a26 ± 0 a3.9 ± 0.0 a2.9 ± 0.4 a4.1 ± 0.7 a1.5 ± 0.2 a
MeJ147 ± 8 a25 ± 0 a3.8 ± 0.0 a2.8 ± 0.3 a4.1 ± 0.8 a1.3 ± 0.0 a
BTH143 ± 11 a26 ± 1 a3.8 ± 0.1 a2.7 ± 0.1 a3.8 ± 0.4 a1.2 ± 0.1 a
MeJ + BTH163 ± 7 b26 ± 1 a3.9 ± 0.0 a2.7 ± 0.3 a4.0 ± 0.5 a1.5 ± 0.2 a
2017Control160 ± 7 a23 ± 1 ab3.9 ± 0.1 b2.5 ± 0.4 a3.7 ± 0.5 a1.2 ± 0.0 ab
MeJ157 ± 8 a22 ± 1 a3.8 ± 0.1 a3.1 ± 0.5 a4.5 ± 1.5 a1.3 ± 0.1 bc
BTH166 ± 10 a23 ± 1 b3.9 ± 0.1 b2.7 ± 0.4 a3.9 ± 0.6 a1.1 ± 0.1 a
MeJ + BTH167 ± 3 a22 ± 0 ab3.7 ± 0.0 a3.1 ± 0.1 a4.0 ± 0.7 a1.3 ± 0.1 c
Data represent means±SD. Different letters in the same column and year indicate significant differences according to the Duncan test (p <0.05).
Table 3. Concentration of flavonols by HPLC in Monastrell grape berry skin treated with MeJ, BTH and MeJ + BTH.
Table 3. Concentration of flavonols by HPLC in Monastrell grape berry skin treated with MeJ, BTH and MeJ + BTH.
Flavonols (µg/g skin)20162017
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
M-3-glc12.8 ± 2.1 a16.4 ± 2.6 a16.3 ± 3.9 a11.6 ± 1.0 a10.4 ± 0.8 b5.1 ± 1.1 a11.1 ± 0.4 b6.1 ± 0.9 a
Q-3-glc 26.3 ± 8.0 a23.0 ± 1.0 a25.1 ± 3.9 a20.8 ± 4.5 a21.0 ± 2.1 b20.2 ± 2.1 b23.6 ± 5.1 b13.7 ± 1.7 a
K-3-gal0.5 ± 0.1 a0.5 ± 0.2 a0.4 ± 0.0 a0.4 ± 0.2 a1.5 ± 0.1 a3.0 ± 0.3 c2.7 ± 0.7 bc2.0 ± 0.4 ab
K-3-glc + S-3-glc2.5 ± 1.1 a2.4 ± 0.4 a2.9 ± 0.3 a2.9 ± 0.9 a0.1 ± 0.0 a0.5 ± 0.4 ab0.9 ± 0.1 b0.7 ± 0.1 b
I-3-glc1.0 ± 0.1 a1.0 ± 0.5 a1.0 ± 0.6 a0.9 ± 0.4 a9.7 ± 0.7 ab12.0 ± 2.5 b9.3 ± 0.3 ab8.1 ± 1.7 a
Q-3glcU8.1 ± 2.2 a8.3 ± 1.3 a8.7 ± 1.4 a9.1 ± 1.5 a0.1 ± 0.1 a0.1 ± 0.0 a0.4 ± 0.1 b0.3 ± 0.1 b
Total flavonols 51.2 ± 13.1 a51.6 ± 2.1 a54.4 ± 9.3 a45.7 ± 8.0 a42.8 ± 2.7 b40.8 ± 4.9 b47.9 ± 6.1 b30.9 ± 3.5 a
Myricetin12.8 ± 2.1 a16.4 ± 2.6 a16.3 ± 3.9 a11.6 ± 1.0 a10.4 ± 0.8 b5.1 ± 1.1 a11.1 ± 0.4 b6.1 ± 0.9 a
Quercetin34.3 ± 9.8 a31.3 ± 1.8 a33.8 ± 5.1 a29.9 ± 5.9 a21.1 ± 2.1 b20.3 ± 2.1 b24.0 ± 5.0 b14.0 ± 1.7 a
Kaempferol3.0 ± 1.1 a2.9 ± 0.3 a3.3 ± 0.2 a3.3 ± 1.1 a1.6 ± 0.2 a3.5 ± 0.6 b3.5 ± 0.7 b2.7 ± 0.4 b
Isorhamnetin1.0 ± 0.1 a1.0 ± 0.5 a1.0 ± 0.6 a0.9 ± 0.4 a9.7 ± 0.7 ab12.0 ± 2.5 b9.3 ± 0.3 ab8.1 ± 1.7 a
Syringetin0.64 ± 0.27 a0.60 ± 0.10 a0.72 ± 0.07 a0.71 ± 0.22 a0.02 ± 0.01 a0.13 ± 0.10 ab0.21 ± 0.02 b0.18 ± 0.03 b
Abbreviations: M, myricetin; Q, quercetin; K, kaempferol; I, isorhamnetin; glc, O-glucoside; gal, O-galactoside; glcU, O-glucoronide; and S, Syringetin-3-glocoside. Data represent means±SD. Different letters in the same row and for each year indicate significant differences according to the Duncan test (p <0.05).
Table 4. Concentration of anthocyanins expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2016).
Table 4. Concentration of anthocyanins expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2016).
Anthocyanins.Traditional macerationPre-fermentative cold maceration + traditional maceration
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
Del41 ± 5 a60 ± 1 c49 ± 5 ab55 ± 3 bc46 ± 2 a54 ± 0 b58 ± 1 c60 ± 0 c
Cyan17 ± 2 a23 ± 2 a18 ± 5 a25 ± 2 a24 ± 1 ab21 ± 2 a22 ± 2 ab26 ± 0 b
Pet77 ± 6 a98 ± 2 b86 ± 7 ab87 ± 2 ab79 ± 1 a89 ± 1 b95 ± 4 b93 ± 4 b
Pn42 ± 4 a55 ± 3 ab46 ± 8 ab55 ± 1 b58 ± 1 a49 ± 7 a54 ± 7 a54 ± 7 a
Malv346 ± 2 a408 ± 17 b386 ± 11 b335 ± 16 a319 ± 4 a368 ± 16 bc403 ± 19 c353 ± 5 ab
Vitisin A4.0 ± 0.0 a3.2 ± 3.1 a2.6 ± 2.2 a2.6 ± 2.3 a7.1 ± 3.0 a5.3 ± 0.1 a4.8 ± 0.3 a5.9 ± 0.5 a
Del acetate3.4 ± 0.1 a2.5 ± 1.7 a2.5 ± 2.0 a2.7 ± 1.7 a20 ± 10 a13 ± 1 a13 ± 1 a14 ± 0 a
Vitisin B3.8 ± 2.4 a1.8 ± 1.2 a2.1 ± 1.9 a1.9 ± 1.1 a8.8 ± 4.4 a10.0 ± 3.7 a8.2 ± 2.3 a11 ± 3 a
Acetyl vitisin A6.9 ± 0.6 a7.0 ± 1.1 a5.9 ± 2.4 a7.1 ± 0.8 a9.4 ± 8.9 a6.9 ± 4.5 a6.4 ± 4.2 a4.6 ± 1.8 a
Cyan acetate9.1 ± 0.8 a8.5 ± 2.3 a8.3 ± 3.3 a9.3 ± 2.3 a12 ± 5 a9.4 ± 0.2 a9.0 ± 0.6 a9.6 ± 0.7 a
Pet acetate11 ± 1 a11 ± 2 a10 ± 3a11 ± 2 a7.2 ± 5.9 a6.5 ± 4.1 a5.1 ± 2.6 a6.6 ± 4.4 a
Pn acetate8.6 ± 0.3 a8.4 ± 1.1 a7.9 ± 1.7 a9.2 ± 1.5 a15 ± 2 a15 ± 1a17 ± 2 a14 ± 1 a
Malv acetate + Del coum27 ± 1 a29 ± 3 a28 ± 1 a25 ± 2 a25 ± 6 a25 ± 1 a26 ± 1 a23 ± 1 a
Pn caf8.0 ± 0.3 a8.8 ± 0.7 a9.4 ± 1.1 a8.0 ± 0.1 a9.3 ± 4.0 a7.6 ± 0.4 a5.9 ± 0.1 a7.4 ± 0.7 a
Cyan caf+coum5.1 ± 0.2 a4.3 ± 0.8 a ± 4.4 ± 0.0 a4.1 ± 0.0 a11 ± 4 a8.4 ± 0.5 a9.3 ± 0.5 a8.3 ± 0.9 a
Pet coum7.9 ± 0.6 a8.5 ± 0.1 a8.8 ± 1.2 a8.7 ± 0.5 a15 ± 5 a14 ± 1 a18 ± 2 a12 ± 0 a
Malv coum cis12.5 ± 0.1 ab13.8 ± 0.9 bc15.4 ± 1.3 c11.2 ± 0.2 a 8.8 ± 2.0 b4.0 ± 0.2 a3.9 ± 0.9 a4.2 ± 1.3 a
Pn coum7.9 ± 0.1 a8.1 ± 0.4 a8.4 ± 0.2 a7.7 ± 0.5 a23 ± 5 b10 ± 4 a11 ± 2 a7.9 ± 0.4 a
Malv coum trans51 ± 3 b 55 ± 3 b63 ± 1 c41 ± 4 a42 ± 0 a50 ± 1 b65 ± 1 c38 ± 3 a
Total anthocyanins690 ± 22 a813 ± 33 b762 ± 58 ab707 ± 13 a755 ± 20 a766 ± 22 a834 ± 17 b744 ± 26 a
Total nonacylated523 ± 19 a643 ± 13 b585 ± 36 ab557 ± 18 a526 ± 19 a581 ± 20 ab632 ± 28 b576 ± 35 ab
TriOH464 ± 13 a566 ± 17 c521 ± 23 bc477 ± 21 ab444 ± 10 a511 ± 20 b556 ± 12 c496 ± 5 b
DiOH59 ± 6 a78 ± 4 a64 ± 13 a80 ± 3 a82 ± 2 a70 ± 9 a76 ± 9 a80 ± 7 a
Total acylated152 ± 0 a158 ± 15 a167 ± 16 a138 ± 2 a204 ± 86 a163 ± 3 a183 ± 16 a146 ± 3 a
Acetates60 ± 1 a59 ± 10 a57 ± 11 a57 ± 6 a95 ± 22 a69 ± 8 a70 ± 3 a68 ± 9 a
Coumarates84 ± 2 b90 ± 4 b100 ± 4 c72 ± 4 a100 ± 32 a86 ± 5 a107 ± 13 a71 ± 3 a
Vitisines15 ± 3 a12 ± 5 a11 ± 6 a12 ± 4 a25 ± 16 a22 ± 8 a19 ± 6 a21 ± 5 a
Abbreviations: Del, delphinidin 3-O-glucoside; Cyan, cyanidin-3-O-glucoside; Pet, petunidin 3-O-glucoside; Pn, peonidin-3-O-glucoside; Malv, malvidin-3-O-glucoside; Caf, caffeate; Coum, coumarylglucosides; DiOH, di-hydroxylated anthocyanins; TriOH, tri-hydroxylated anthocyanins. Data represent means±SD. Different letters in the same row and for each maceration treatment indicate significant differences according to the Duncan test (p < 0.05).
Table 5. Concentration of anthocyanins expressed as mg/L at the end of alcoholic fermentation in Monastrell wines. (2017).
Table 5. Concentration of anthocyanins expressed as mg/L at the end of alcoholic fermentation in Monastrell wines. (2017).
Anthocyanins Traditional macerationPre-fermentative cold maceration + traditional maceration
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
Del28 ± 3 a25 ± 1 a29 ± 0 a27 ± 5 a22 ± 2 a26 ± 1 ab37 ± 3 c31 ± 0 b
Cyan12 ± 1 a15 ± 3 a13 ± 1 a18 ± 3 a9.9 ± 0.1 a16 ± 2 b17 ± 1 bc19 ± 1 c
Pet51 ± 4 a40 ± 1 a52 ± 1 a43 ± 8 a41 ± 4 a41 ± 5 a 61 ± 10 b46 ± 0 ab
Pn31 ± 4 a26 ± 4 a28 ± 0 a29 ± 5 a25 ± 1 a28 ± 5 ab42 ± 3 c33 ± 1 b
Malv250 ± 15 b166 ± 1 a248 ± 17 b182 ± 27 a203 ± 18 a164 ± 15 a264 ± 36 b179 ± 3 a
Vitisin A3.6 ± 0.7 a3.0 ± 0.1 a4.0 ± 0.0 a4.1 ± 0.4 a3.8 ± 1.0 a3.6 ± 0.5 a4.7 ± 0.3 a4.1 ± 0.3 a
Del acetate8.6 ± 0.0 d6.2 ± 0.1 b7.5 ± 0.1 c5.4 ± 0.3 a6.2 ± 0.1 a6.2 ± 1.0 a8.7 ± 0.9 b6.9 ± 0.1 ab
Vitisin B2.1 ± 0.2 a1.7 ± 0.0 a2.0 ± 0.3 a2.0 ± 0.0 a1.9 ± 0.2 a2.0 ± 0.1 a2.2 ± 0.2 a 2.2 ± 0.0 a
Acetyl vitisin A4.6 ± 0.1 a4.6 ± 0.5 a5.6 ± 0.7 a4.8 ± 0.7 a4.5 ± 0.3 a4.4 ± 0.5 a5.0 ± 0.1 a4.9 ± 0.0 a
Cyan acetate5.4 ± 0.3 ab4.0 ± 0.3 a8.2 ± 0.3 b5.9 ± 2.0 ab4.1 ± 0.5 a5.4 ± 1.8 ab9.8 ± 0.9 c8.3 ± 0.1 bc
Pet acetate6.3 ± 0.3 b4.6 ± 0.1 a6.1 ± 0.0 b4.8 ± 0.4 a5.3 ± 0.4 a4.9 ± 0.4 a6.9 ± 0.0 b5.3 ± 0.0 a
Pn acetate9.9 ± 0.7 b6.5 ± 0.2 a9.5 ± 0.1 b6.7 ± 0.5 a8.0 ± 0.8 a6.8 ± 1.0 a11 ± 1 b7.7 ± 0.2 a
Malv acetate + Del coum19 ± 1 b11 ± 0 a17 ± 1 b12 ± 1 a15 ± 1 ab12 ± 3 a18 ± 2 b12 ± 0 a
Pn caf4.9 ± 0.1 b2.5 ± 0.1 a4.6 ± 0.2 b2.5 ± 0.3 a3.8 ± 0.1 b2.7 ± 0.1 a4.5 ± 0.3 c3.0 ± 0.1 a
Cyan caf+coum4.9 ± 0.4 b3.7 ± 0.0 a4.6 ± 0.1 b3.5 ± 0.3 a4.1 ± 0.0 a3.8 ± 0.4 a6.3 ± .0.6 b4.5 ± 0.1 a
Pet coum8.0 ± 0.8 b4.6 ± 0.4 a8.3 ± 0.3 b4.7 ± 0.5 a6.8 ± 0.7 b4.6 ± 0.2 a9.3 ± 1.3 c5.1 ± 0.2 ab
Malv coum cis3.0 ± 0.2 a2.0 ± 0.4 a3.3 ± 0.8 a2.1 ± 0.1 a2.9 ± 0.2 b2.2 ± 0.0 a3.1 ± 0.3 b2.1 ± 0.3 a
Pn coum5.8 ± 0.7 b3.1 ± 0.1 a5.0 ± 0.2 b3.0 ± 0.3 a4.2 ± 0.0 b3.0 ± 0.4 a7.1 ± 0.6 c3.6 ± 0.1 ab
Malv coum trans31 ± 3 b16 ± 1 a31 ± 1 b17 ± 2 a25 ± 3 b15 ± 1 a32 ± 4 c16 ± 1 a
Total anthocyanins489 ± 32 b346 ± 6 a488 ± 17 b376 ± 56 a397 ± 36 a352 ± 36 a550 ± 71 b395 ± 6 a
Total nonacylated372 ± 27 b273 ± 8 a371 ± 17 b298 ± 48 ab301 ± 27 a275 ± 30 a421 ± 58 b309 ± 5 a
TriOH328 ± 22 b231 ± 2 a330 ± 19 b251 ± 40 a266 ± 26 a231 ± 24 a362 ± 54 b256 ± 4 a
DiOH43 ± 5 a41 ± 6 a41 ± 2 a47 ± 8 a35 ± 1 a44 ± 7 ab59 ± 4 c53 ± 2 bc
Total acylated107 ± 5 b64 ± 2a105 ± 1 b67 ± 7 a85 ± 7 a67 ± 5 a117 ± 13 b75 ± 1 a
Acetates49 ± 0 b32 ± 0 a49 ± 1 b ± 35 ± 4 a38 ± 3 a36 ± 4 a55 ± 6 b40 ± 0 a
Coumarates52 ± 5 b29 ± 2 a52 ± 0 b30 ± 3 a43 ± 3 b28 ± 1 a58 ± 6 c32 ± 1 a
Vitisines10 ± 1 a9.2 ± 0.4 a12 ± 1 a11 ± 1 a10 ± 1 a 10 ± 1 a12 ± 1 a11 ± 0 a
Abbreviations: Del, delphinidin 3-O-glucoside; Cyan, cyanidin-3-O-glucoside; Pet, petunidin 3-O-glucoside; Pn, peonidin-3-O-glucoside; Malv, malvidin-3-O-glucoside; Caf, caffeate; Coum, coumarylglucosides; DiOH, Di-hydroxylated anthocyanins; TriOH, Tri-hydroxylated anthocyanins. Data represent means±SD. Different letters in the same row and for each maceration treatment indicate significant differences according to the Duncan test (p < 0.05).
Table 6. Concentration of flavonols expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2016).
Table 6. Concentration of flavonols expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2016).
FlavonolsTraditional macerationPre-fermentative cold maceration + traditional maceration
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
M-3-gal2.6 ± 0.1 a2.9 ± 0.2 a2.7 ± 0.8 a2.9 ± 0.5 a4.3 ± 0.3 a6.0 ± 1.3 ab7.0 ± 0.7 b5.7 ± 1.0 ab
M-3-glc1.2 ± 0.1 a1.1 ± 0.0 a1.2 ± 0.1 a1.2 ± 0.1 a6.9 ± 0.8 a6.4 ± 0.4 a7.5 ± 0.2 a6.4 ± 0.4 a
Q-3-gal59 ± 9 a67 ± 5 a69 ± 15 a64 ± 7 a11 ± 4 a12 ± 4 a13 ± 4 a14 ± 1 a
Q-3- glcU1.9 ± 0.3 a2.4 ± 0.1 a2.5 ± 0.7 a2.3 ± 0.6 a20 ± 14 a25 ± 20 a25 ± 21 a23 ± 18 a
Q-3-glc11 ± 1 a13 ± 1 a14 ± 3 a13 ± 2 a40 ± 1 a45 ± 3 ab49 ± 1 b43 ± 4 ab
L-3-glc27 ± 4 a34 ± 1 a32 ± 6 a29 ± 0 a33 ± 5 a32 ± 4 a36 ± 7 a31 ± 3 a
K-3-gal2.1 ± 0.1 a1.8 ± 0.1 a2.3 ± 0.4 a1.8 ± 0.3 a5.7 ± 4.4 a6.0 ± 4.5 a6.5 ± 4.6 a6.0 ± 3.8 a
K-3-glc0.8 ± 0.1 a0.9 ± 0.0 a0.9 ± 0.2 a0.8 ± 0.1 a5.0 ± 2.2 a3.8 ± 0.0 a4.1 ± 0.0 a4.1 ± 0.6 a
I-3-glc8.4 ± 1.8 a9.0 ± 0.8 a8.4 ± 1.4 a7.8 ± 0.8 a9.0 ± 3.2 a9.2 ± 3.6 a9.9 ± 4.5 a9.0 ± 3.8 a
S-3-glc1.8 ± 0.5 a1.8 ± 0.3 a1.6 ± 0.4 a1.6 ± 0.2 a 5.5 ± 0.7 a6.1 ± 0.8 a6.9 ± 0.2 a5.7 ± 1.2 a
Total115 ± 17 a133 ± 6 a133 ± 26 a124 ± 11 a141 ± 5 a152 ± 3 b164 ± 1 c148 ± 3 ab
Myricetin3.8 ± 0.0 a4.0 ± 0.2 a3.9 ± 0.8 a4.1 ± 0.4 a11 ± 1 a12 ± 2 a14 ± 2 a12 ± 2 a
Quercetin72 ± 11 a82 ± 5 a84 ± 18 a79 ± 10 a71 ± 25a82 ± 28 a87 ± 34 a80 ± 30 a
Laricitrina27 ± 4 a34 ± 1 a32 ± 6 a29 ± 0 a33 ± 5 a32 ± 4 a36 ± 7 a31 ± 3 a
Kaempferol2.8 ± 0.0 ab2.7 ± 0.2 a 3.2 ± 0.2 b2.6 ± 0.2 a11 ± 2 a10 ± 5 a11 ± 5 a10 ± 3 a
Isorhamnetin8.4 ± 1.8 a9.0 ± 0.8 a8.4 ± 1.4 a7.8 ± 0.8 a9.0 ± 3.2 a9.2 ± 3.6 a9.9 ± 4.5 a9.0 ± 3.8 a
Syringetin1.8 ± 0.5 a1.8 ± 0.3 a1.6 ± 0.4 a1.6 ± 0.2 a5.5 ± 0.7 a6.1 ± 0.8 a6.9 ± 0.2 a5.7 ± 1.2 a
Abbreviations: M, myricetin; Q, quercetin; K, kaempferol; I, isorhamnetin; glc, O-glucoside; gal, O-galactoside; glcU, O-glucoronide; L, laricitrin 3-glucoside; and S, syringetin 3-glucoside. Data represent means±SD. Different letters in the same row and for each maceration treatment indicate significant differences according to the Duncan test (p < 0.05).
Table 7. Concentration of flavonols expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2017).
Table 7. Concentration of flavonols expressed as mg/L at the end of alcoholic fermentation in Monastrell wines (2017).
FlavonolsTraditional macerationPre-fermentative cold maceration + traditional maceration
ControlMeJBTHMeJ + BTHControlMeJBTHMeJ + BTH
M-3-gal24 ± 0 b17 ± 1 a28 ± 1 b18 ± 3 a25 ± 1 b17 ± 2 a30 ± 2 c16 ± 1 a
M-3-glc9.3 ± 0.3 b5.7 ± 0.1 a9.2 ± 0.9 b7.1 ± 1.0 a7.3 ± 0.7 a6.6 ± 0.6 a9.8 ± 1.1 b7.0 ± 0.6 a
Q-3-gal5.7 ± 0.1 a6.1 ± 1.4 a7.9 ± 0.2 a6.7 ± 0.6 a7.4 ± 1.8 a7.7 ± 1.3 a6.9 ± 0.2 a6.0 ± 0.1 a
Q-3- glcU22 ± 0 a24 ± 4 a26 ± 2 a26 ± 3 a25 ± 3 a28 ± 5 a24 ± 3 a23 ± 1 a
Q-3-glc32 ± 2 a35 ± 3 ab43 ± 3 b35 ± 2 ab38 ± 4 ab42 ± 4 ab45 ± 0 b33 ± 0 a
L-3-glc5.1 ± 0.1 b2.8 ± 0.1 a5.5 ± 0.3 b3.5 ± 0.5 a4.8 ± 0.0 bc3.9 ± 0.2 ab5.3 ± 0.6 c3.4 ± 0.3 a
K-3-gal0.3 ± 0.0 b0.2 ± 0.0 a0.9 ± 0.0 d0.6 ± 0.1 c0.3 ± 0.0 a0.6 ± 0.0 b0.3 ± 0.0 a0.6 ± 0.1 b
K-3-glc0.1 ± 0.1 a0.1 ± 0.1 a0.4 ± 0.0 b0.4 ± 0.0 b0.1 ± 0.0 a0.4 ± 0.1 b0.1 ± 0.1 a0.3 ± 0.0 b
I-3-glc3.4 ± 0.0 bc2.4 ± 0.2 a3.7 ± 0.3 c2.9 ± 0.3 ab3.2 ± 0.2 ab3.5 ± 0.3 ab3.7 ± 0.2 b3.0 ± 0.1 a
S-3-glc2.8 ± 0.3 b1.6 ± 0.4 a3.6 ± 0.3 c2.1 ± 0.2 ab2.5 ± 0.0 bc2.0 ± 0.2 ab2.8 ± 0.2 c1.8 ± 0.2 a
Total106 ± 4 ab95 ± 12 a128 ± 6 b103 ± 14 ab114 ± 5 b112 ± 7 b129 ± 5 c95 ± 1 a
Myricetin35 ± 2 b22 ± 0 a37 ± 2 b25 ± 4 a32 ± 0 b24 ± 2 a40 ± 5 c23 ± 2 a
Quercetin60 ± 5 a66 ± 5 ab77 ± 2 b68 ± 3 ab71 ± 2 b77 ± 3 c77 ± 2 c62 ± 1 a
Laricitrina5.1 ± 0.1 b2.8 ± 0.1 a5.5 ± 0.3 b3.5 ± 0.5 a4.8 ± 0.0 bc3.9 ± 0.2 ab5.3 ± 0.6 c3.4 ± 0.3 a
Kaempferol0.5 ± 0.0 a0.3 ± 0.1 a1.3 ± 0.1 c1.0 ± 0.1 b0.4 ± 0.1 a1.0 ± 0.1 b0.4 ± 0.1 a0.9 ± 0.0 b
Isorhamnetin3.4 ± 0.0 bc2.4 ± 0.2 a3.7 ± 0.3 c2.9 ± 0.3 ab3.2 ± 0.2 ab3.5 ± 0.3 ab3.7 ± 0.2 b3.0 ± 0.1 a
Syringetin2.8 ± 0.3 b1.6 ± 0.4 a3.6 ± 0.3 c2.1 ± 0.2 ab2.5 ± 0.0 bc2.0 ± 0.2 ab2.8 ± 0.2 c1.8 ± 0.2 a
Abbreviations: M, myricetin; Q, quercetin; K, kaempferol; I, isorhamnetin; glc, O-glucoside; gal, O-galactoside; glcU, O-glucoronide; L, laricitrin 3-glucoside; and S, syringetin 3-glucoside. Data represent means±SD. Different letters in the same row and for each maceration treatment indicate significant differences according to the Duncan test (p < 0.05).

Share and Cite

MDPI and ACS Style

Paladines-Quezada, D.F.; Moreno-Olivares, J.D.; Fernández-Fernández, J.I.; Bleda-Sánchez, J.A.; Martínez-Moreno, A.; Gil-Muñoz, R. Elicitors and Pre-Fermentative Cold Maceration: Effects on Polyphenol Concentration in Monastrell Grapes and Wines. Biomolecules 2019, 9, 671. https://doi.org/10.3390/biom9110671

AMA Style

Paladines-Quezada DF, Moreno-Olivares JD, Fernández-Fernández JI, Bleda-Sánchez JA, Martínez-Moreno A, Gil-Muñoz R. Elicitors and Pre-Fermentative Cold Maceration: Effects on Polyphenol Concentration in Monastrell Grapes and Wines. Biomolecules. 2019; 9(11):671. https://doi.org/10.3390/biom9110671

Chicago/Turabian Style

Paladines-Quezada, Diego F., Juan D. Moreno-Olivares, José I. Fernández-Fernández, Juan A. Bleda-Sánchez, Alejandro Martínez-Moreno, and Rocío Gil-Muñoz. 2019. "Elicitors and Pre-Fermentative Cold Maceration: Effects on Polyphenol Concentration in Monastrell Grapes and Wines" Biomolecules 9, no. 11: 671. https://doi.org/10.3390/biom9110671

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop