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Article

Bioactive Phytochemical Composition of Grape Pomace Resulted from Different White and Red Grape Cultivars

by
Petronela Anca Onache
1,
Elisabeta-Irina Geana
2,*,
Corina Teodora Ciucure
2,
Alina Florea
1,*,
Dorin Ioan Sumedrea
1,
Roxana Elena Ionete
2 and
Ovidiu Tița
3
1
National Research & Development Institute for Biotechnology in Horticulture Stefanesti-Arges, Bucureşti-Piteşti No 37, 117715 Stefanesti, Romania
2
National Research & Development Institute for Cryogenic and Isotopic Technologies-Râmnicu Vâlcea, Uzinei No 4, 240050 Ramnicu Valcea, Romania
3
Faculty of Agricultural Sciences, Food Industry and Environmental Protection, “Lucian Blaga” University of Sibiu, Bd. Victoriei No 10, 550024 Sibiu, Romania
*
Authors to whom correspondence should be addressed.
Separations 2022, 9(12), 395; https://doi.org/10.3390/separations9120395
Submission received: 14 October 2022 / Revised: 4 November 2022 / Accepted: 21 November 2022 / Published: 28 November 2022
(This article belongs to the Section Analysis of Food and Beverages)

Abstract

:
Grapes are rich in phenolic compounds, being important for human health with anti-inflammatory, antiatherosclerotic, antimutagenic, anticarcinogenic, antibacterial, antiviral, and antimicrobial activity. The winemaking of the grapes generates significant amounts of waste. These wastes contain bioactive compounds in their biomass that can be used as a source of food improvement or as a source of nutrition supplementation. This study looks at the content of bioactive compounds, the polyphenolic profile, and the antioxidant activity in different white and red grape pomaces. The investigation of bioactive characteristics (total polyphenols, total flavonoids, catechins, tannins, and antioxidant activity) was carried out by UV-Vis spectrophotometric methods, while the individual polyphenolic composition was investigated by target and screening UHPLC-HRMS/MS analysis. Principal components (PCA) and the heat maps analysis allows the discrimination between the grape pomace resulted from white grape cultivars (Muscat Ottonel and Tamaioasa Romaneasca) and red grape pomaces (Cabernet Sauvignon, Merlot, Feteasca Neagra, Burgund Mare, Pinot Nore), with the identification of the specific phenolic compounds for each grape pomace type.

Graphical Abstract

1. Introduction

A particular interest for the wine industry is wine waste [1,2]. About 80% of the world’s grape production is used in the wine industry. During the winemaking process, after alcoholic fermentation, about 20% of the processed grapes by weight remains as solid organic waste, namely pomace [3,4]. The principal by-products in viticulture are the grape pomace, which consists of grape stalks, seeds, and skins left after the crushing and pressing stages of wine production [5,6,7]. In 2021, worldwide vineyards reached a total area (including areas not yet in production) of 7,300,000 ha, which refers to the total area planted with vines for all purposes (wine and juices, table grapes, and raisins), including young vineyards which are not yet productive (“World Wine Production Outlook OIV First Estimates, International Organisation of Vine and Wine Intergovernmental Organisation,” 4 November 2021). World wine production in 2021 was 260,000,000 hl, generating significant amounts of waste. It must be taken into account that, for each kg of grape that is processed, about 0.2 kg of grape pomace results, consisting of skins, stalks, and seeds. A huge amount of grape pomace is then generated, by the wine-making process itself and by the alcohol-producing industries: this by-product, or waste, has to be somehow treated and processed [8,9]. Huge quantities of waste materials are produced every year, which are rich in nutraceutical substances and complex carbohydrates; moreover, without their recycling, this biomass represents an environmental issue due to a high concentration of polyphenolic compounds [10,11].
Grapes are rich in phenolic compounds, which makes them important for human health due to their antioxidant, anti-inflammatory, and antimicrobial activities [12,13]. There are also studies on the beneficial effects of these compounds on the heart and other organs against oxidative stress [14,15].
Grapes, grape juice, wine, and implicitly the grape pomace have been found to contain high amounts of polyphenolic compounds [16] with antioxidant properties that may also act as pro-oxidants because they may induce the production of free radicals [6,7]. Winery by-products (pomace) are rich in high-added-value compounds, mainly known as polyphenols, including phenolic acids, flavanols, and anthocyanins [17,18], which have also been identified in grapes and wine [19,20]. The quantitative and qualitative distribution of polyphenols in grape pomace may show significant differences, depending on several factors, such as grape varieties, the location of cultures, and the winemaking procedures, and even the distribution from the same cultivars may vary based on the geographic regions and vintage of the wine [21,22,23]. The majority of grape pomace polyphenols originate from the grape skin and seeds and consist of two main classes, flavonoids (anthocyanins, flavonols, flavan-3-ols, flavones, and chalcones) and nonflavonoids (phenolic acids, stilbenes, tannins, coumarins, and neolignans) [24], with numerous biological activities and health-promoting properties, including cardiovascular and metabolic health, cancer prevention, skin and gut health, and protection from microbial infection [12].
Byproducts resulting from the agrofood industry have received considerable attention in recent years because of the wide range of possible biotechnological applications. The complex phytochemistry of grape pomace suggests that it represents a promising source for the development of high-added-value products, such as nutraceuticals, functional foods products, skincare, and other cosmetic products [22]. Numerous food additives and nutritional products obtained from grape pomace, such as grape skin or seed extracts and powders, pomace powder, and anthocyanin colorants, are distributed in the market [25]. However, further studies are needed in order to identify the most promising source of specific bioactive phytochemicals and stimulate the implementation of sustainable strategies for the superior valorization of grape pomace at a local/regional scale. This study looks at the content of bioactive compounds, polyphenolic profile, and antioxidant activity in wine grapes, as well as their loss, by eliminating winemaking waste. The bioactive characteristics (total polyphenols, total flavonoid, and antioxidant activity) of grape pomace resulting from different white and red grape cultivars have been investigated using AnalytikJena Specord 205 UV/VIS spectrophotometer. The individual polyphenolic composition was made by screening with DAD-HPLC-MS. Principal components analysis (PCA) and heat maps analysis were used to discriminate between grape pomace resulting from white grape cultivars (Muscat Ottonel and Tamaioasa Romaneasca) and red grape cultivars (Burgund Mare, Merlot, Cabernet Sauvignon, Feteasca Neagra, and Pinot Noir). The obtained results could be helpful for the identification of the characteristic bioactive phytochemicals specific to each type of grape pomace in order to develop different technological applications.

2. Materials and Methods

2.1. Grape Sample

The grape Vitis vinifera, including white varieties Feteasca Regala, Riesling Italian, Sauvignon, Muscat Ottonel, and Tamaioasa Romaneasca, and red varieties Merlot, Burgund Mare, Cabernet Sauvignon, and Feteasca Neagra, from Argeș county, Ștefănești wine center (44°5′ N and 24°57′ E, 300 m above sea level, southern exhibition), was used in our studies. Grapes were harvested manually at full maturity level during the 2021 vintage. The grapes were used for winemaking, and the resulted grape pomace was further investigated. The sample musts were stored in bottles at −20 °C until the analyses.

Grape Pomace GP

The GP samples were collected in two winemaking stages: the first stage, immediately after pressing the white grapes, the fresh unfermented GP (Muscat Ottonel-MO, Tamaioasa Romaneasca-TR), and the others were supplied after 20 days of fermentation at 20 °C and must separation, and the fermented GP for red grapes (Feteasca Neagra—FN, Merlot—M, Burgund—BM, Cabernet Sauvignon—CS and Pinot Noir—PN). The samples were stored in vacuum bags at −20 °C prior to the experiments. After the end of the winemaking, the frozen grape pomace was subjected to drying in a microwave oven JW-MW-6 KW at a temperature of 45 °C. The samples of dried grape pomace were shredded with the help of SWANTEC SJ 1000 model, lab mill.

2.2. Chemicals and Reagents

All chemicals and solvents were obtained from Carl ROTH GmbH Co. (Karlsruhe, Germany) and Merck Co. (Darmstadt, Germany) and they had HPLC or analytical grade (>99%) quality. Analytical standards (gallic, abscisic, p-cumaric, cafeic, clorogenic, ferulic, elagic, vanilic, 4-hydroxibenzoic, acid 3,4-dihidroxibenzoic, t-cinamic and syringic acids, (+)-catechin, și (−)–epicatechin, rutin, naringin, hesperidin, quercetin, kaempferol, izorhamnetin, chrysin, pinocembrin, apigenin, galangin, t-resveratrol) were purchased from Sigma-Aldrich (Steinheim, Germany). Folin–Ciocalteu phenol reagent (2 N), radical scavenging assay reagents DPPH and 6-hydroxy-2,5,7,8-tetramethyl-2-carboxylic acid (Trolox) were purchased from obtained from Alfa Aesar (ThermoFisher GmbH Kandel, Kandel, Germany).

2.3. Extraction Procedures

In order to investigate the bioactive characteristics (total polyphenols—TP, catechins—Cat, tannins—TA, anthocianins—Ant; antioxidant activity is expressed as GAE equivalents (AA GAE) and Trolox equivalents (AA Trolox)), the extracts were prepared by adding 20 mL of ethanol 50% to 2 g of GP sample. All extracts were placed on a shaker for 48 h. Prior to each analysis, the extracts were centrifuged, and the supernatants were further used. For the determination of polyphenolic profile by UHPLC-MS/MS, the grape pomace was extracted by microwave solvent extraction (MAE) (CEM MARS 6 extractor) using water and 50% ethanol solution g/g. The ratio liquid solid (g/g) was 1:3, and a pre-set program of 5 min, pressure 13 PSI, power 480, and temperature 100 °C was applied.

2.4. Analytical Investigations

2.4.1. Quantitative UV-Vis Spectrophotometric Determinations

Spectrophotometric determinations (total polyphenols—TP, total flavonoids—TF and antioxidant capacity—AC) of the extracts were performed using an AnalytikJena Specord 205 UV/VIS spectrophotometer (Analytic Jena, Jena, Germany) equipped with 1 cm path length quartz cells.
Total polyphenols (TP) were determined by the Folin– Ciocalteu colorimetric method [26], measuring the maximum absorbance at 765 nm. In brief, 0.1 mL of extract of pomace were mixed with 5 mL of distilled water and 0.5 mL of Folin– Ciocalteu reagent. After 30 min of reaction, 1.5 mL of 20% sodium carbonate solution and 2.9 mL of distilled water were added to stop the reaction and to develop a characteristic blue color for 2 h, at room temperature and protected from light. The total polyphenols quantification was based on the standard curve generated by serial dilution of a gallic acid standard, covering the range 50–1000 mg/L of gallic acid. Values were expressed as mg gallic acid equivalents (GAE) per g of pomace, dried weight (DW), based on the formula:
TP ( mgGAE / g ) = dilution × ( DO 765 b ) / a × V e m ( g )
where a and b are the parameters of the calibration curve; the reading of DO765 was at wavelength 765 nm, Ve—volume of extract; and m (g)—the amount of the pomace used for the extraction.
In this study, catechins, monomer flavanolic units, were determined with a method based on the reaction of catechins with vanillin assay (1% alcohol solution) [27]. The vanillin test is specific to flavan-3-ols, proanthocyanins, and dihydrochalcones, which have a single bond at the 2,3-position and possess free metahydroxy groups on the B-ring, with the production of red color. For that purpose, 10 mL of extract of pomace was mixed with 10 mL HCl 11.5 N and 5 mL 1% vanillin (alcoholic solution), and after 20 min, the maximum absorbance was measured at 500 nm. A calibration curve was made using the serial dilution of catechin standard (0–0.02–0.04–0.06–0.08–0.1 mg/L), and the results were expressed in mg catechins/100 g of pomace, dried weight (DW), based on the formula
Cat ( mg g ) = dilution × ( a × DO 500 + b ) × V e m ( g )
where a and b are the parameters of the calibration curve; the reading of DO500 was at wavelength 500 nm; Ve—volume of extract; and m (g)—the amount of the pomace used for the extraction.
Tannins were determined by the leukocytanidins (LA) method based on the property of tannins to transform in a hot (100 °C) and strongly acidic (concentrated HCl) environment into cyanidin, which is red in color. The optical density at a wavelength of 550 nm is directly proportional to the concentration of tannins [28]. In detail, in two tubes, 1 mL of distilled water and 3 ml of concentrated HCl were added to 2 mL pomace extract. One of the test tubes was boiled in a water bath at 100 °C for 45 min, while the other was kept at room temperature. After 45 min, the boiled test tube was cooled with tap water, followed by the addition of 0.5 ml of 96% ethanol, in both test tubes, to stabilize the color. The optical density of the solutions in the two test tubes (boiled and unboiled) was measured at 520 nm, and the results were calculated using the formula:
Tan ( mg g ) = ( 15.7 × OD 520 ) × V e m ( g )
where the reading of DO500 was at wavelength 520 nm; Ve—volume of extract; and m (g)—the amount of the pomace used for the extraction.
Anthocyanins. To 50 g of grape pomace, we added 85 mL of 0.1% hydrochloric acid and 15 mL of 96% ethanol; we then homogenized it and left the mixture to macerate for 1 h, at room temperature, with homogenization every 15 min. We diluted the liquid fraction at 1/20 with a 0.1% HCl solution, followed by measuring the optical density at 520 nm, in a 1 cm tube, against distilled water [29]. The quantitative results were calculated using the following formula:
Ant ( mg / g ) = ( DO 520 × 22.75 × 20 ) × V e m ( g )
where the reading of DO520 was at wavelength 520 nm; Ve—volume of extract; and m (g)—the amount of the pomace used for the extraction.
DPPH Assay. The evaluation of the antioxidant activity was carried out by testing free radical scavenger properties. The antioxidant activity of the extracts was measured in terms of hydrogen-donating or radical-scavenging ability by means of the radical 2,2-diphenyl-1-picrylhydrazyl (DPPH•), according to a the method described by Manca et al. [30]. A 100 µL sample solution of previously diluted extract was mixed with 3.90 mL of DPPH• methanolic solution (2.5 × 10−2 mg/L methanolic DPPH solution). The reaction mixtures were shaken and incubated for 45 min in the dark at room temperature. The absorbance was measured at 517 nm against methanol. Absorbance measurements were transformed into antioxidant capacity using trolox as standard, in the concentration range 6.25–100 mmol/L, and the results were expressed as mmol/L Trolox equivalents/100 g of pomace. Additionally, the antioxidant activity was defined as the capacity necessary to reduce the initial DPPH concentration by 50% (Efficient concentration = EC50 mgGAE/L) [31], and the results were expressed as gallic acid equivalents (GAE) using a calibration curve between 0.01–1 mg GAE/L). The quantitative results were calculated using the formula:
AA ( mg / 100 g ) = Acontrol     Asample Acontrol × V e m ( g ) × 100
where Acontrol and Asample are the absorbances measured at 517 nm, Ve is the volume of extract, and m (g) is the amount of the pomace used for the extraction.

2.4.2. Polyphenolic Profile by UHPLC-HRMS

The quantitative analysis of individual polyphenols (phenolic acids, flavonoids, and stilbens) was performed by UHPLC–ESI/HRMS (ultra-high-performance liquid chromatography electrospray ionization tandem mass spectrometry) using a high-resolution Q Exactive mass spectrometer™ Focus Hybrid Quadrupole—OrbiTrap equipped with HESI, coupled to a high-performance liquid chromatograph UltiMate 3000 UHPLC (Thermo Fisher Scientific, Bremen, Germany). The chromatographic separation was performed on a Kinetex® C18 column (100 × 2.1 mm, 1.7 µm particle diameter) at 30 °C, under a gradient elution of two mobile phases, A (water with 0.1% formic acid) and B (methanol with 0.1% formic acid), at a flow rate between 0.3 and 0.4 mL/min, as presented in a previous paper [32]. Full scan data in negative mode covering a scan range of m/z 75–1000 were acquired at a resolving power of 70,000 FWHM at m/z 200, while variable data-independent analysis MS2 (vDIA) was performed at the resolution of 35,000, isolation windows and scan ranges being set as follows: 75–205 m/z, 195–305 m/z, 295–405 m/z, 395–505 m/z, and 495–1000 m/z. Nitrogen was used as collision gas and auxiliary gas at a flow rate of 11 and 48 arbitrary units, respectively. The applied voltage was 2.5 kV, and the capillary temperature was 320 °C. The energy of the collision cell was set at 30 eV. The calibration was performed in the concentration range between 50 and 1750 μg/L for each of the phenolic acids and flavonoids by serial dilution with methanol from the standard mixture of concentration 10 mg/L. The data were purchased and processed using the Xcalibur software package (Version 4.1) (Thermo Fisher Scientific, Bremen, Germany). Compound Discoverer software (v. 2.1) using an untargeted metabolomics working template combined with internet database of accurate MS data, ChemSpider (www.chemspider.com, accessed on 7 October 2022) and available literature were used as a reference library to identify compounds of interest.

2.5. Data Processing

All the analyses were made in duplicate. Statistical differences between different cultivars were tested using Pearson correlation test with a 0.05 significance level. Principal component analysis (PCA) and Hierarchical Cluster 286 Analysis were performed in order to discriminate between different grape pomace varieties. All the mathematical and statistical analyses were performed using Microsoft Excel 2010 (Microsoft, Redmond, WA, USA) and XLSTAT Add in soft version 15.5.03.3707 (Addinsoft, New York, NY, USA).

3. Results and Discussions

3.1. Bioactive Properties

The values of the TP obtained by the Folin–Ciocalteu colorimetric method ranged from 1.71 to 2.46 mg GAE/g DW, Cat ranged between 1.77 and 2.07 mg Cat/g DW, Ant ranged between 2.68 and 15.66 mg Ant/g DW, tannins ranged between 17.87 and 44.81 mg Cat/g DW, and antioxidant activity ranged from 14.55 to 75.14 mg GAE/g and between 41.66 and 85.13 µmol TE/g (Figure 1).
The TP content of the investigated grape pomaces varied from 17.06 to 25.58 mg GAE/g (DW), with lower values for CS (17.06 mg GAE/g) and FN (17.07 mg GAE/g) grape pomaces and higher values for MO (24.65 mg GAE/g) and TR (25.58 mg GAE/g) grape pomaces. The obtained results are lower than the literature data for red grape cultivars Cabernet Sauvignon (55 mg GAE/g) [33], 69.83 mg GAE/g [34], 38.1 mg GAE/g [35]; Merlot (69–80 mg. GAE/g [36], Tempranillo (26.8–71.8 mg GAE/g) [33]; Malbec (196.2 mg GAE/g) [37]; Cabernet Franc (153.8 mg GAE/g) [38]; and rare Georgian red grape pomaces (27.9 mg GAE/g) [39]; and grape pomace from white grape cultivars Riesling Italian (47.94 mg GAE/g) [40], Chardonnay (58.15 mg GAE/g) [34], Viognier (99.1 mg GAE/g) and Vidal Blanc (55.5 mg/GAE/g) [38](Table S1). A possible explanation may arise from the fact that using maceration for the extraction of the bioactive compounds from the grape pomace, an incomplete extraction could be realized. The values of the anthocyanin content of the grape pomace varied between 26.83 and 156.62 mg/g, with higher values corresponding to CS (156.62 mg/g) and M (134.22 mg/g) red grape pomaces, and lower values for grape pomaces resulted from MO (26.83 mg/g) and TR (53.53 mg GAE/g) white grapes cultivars, but also for PN red grape pomace (35.54 mg/g). The literature data show a lower amount of anthocyanin in the grape pomace of Cabernet Sauvignon (70.3 mg/g) [41], 133.79 mg/g [34], and Merlot (89.6 mg/g) [42], and higher amounts for Pinot Noir grape pomace (50.61–131.86 mg/g) [43] (Table S1).
Catechins in grape pomaces were found to be between 17.71 and 20.69 mg/g, with a higher value corresponding to MO (20.69 mg/g) white grape pomace, while tannins ranged between 178.70 and 448.15 mg/g, with high values for MO (448.15 mg/g) and TR (314.16 mg/g) white grape pomaces. The results of the antioxidant activity of all the investigated grape pomaces measured by DPPH ranged from 41.66 to 85.13 µmol Trolox/g, DW. Red grape pomace shows higher antioxidant activity, which is most likely correlated with anthocyanins content, and Merlot and Burgund Mare pomaces show higher antioxidant activities. Thus, white grape pomaces can be considered a good source of tannins, while red grape pomaces are considered a good source of anthocyanins.
The Pearson correlation analysis (Figure 2) shows moderate correlations between the bioactive properties of the investigated grape pomaces. The interpretation of correlation analysis was performed using correlation coefficients with values higher than 0.5.
Correlation maps coefficients of determination (Pearson):
Positive correlations (red color) were obtained for TP with Cat and Ant, for AA with Ant and TA with Cat and TP, while moderate negative correlations (blue color) were observed for TP with AA, Ant and TA, for AA with TP and TA, for Ant with TP and TA and for TA with AA and Ant.

3.2. Identification of Phenolic Compounds in Grape Pomace by UHPLC-HRMS

The identification and quantification of polyphenols in grape pomace are of great interest as they make a significant contribution to its total bioactivity. A specific UHPLC-Q-Orbitrap HRMS method for rapid identification and quantification of the phenolic compounds in plant material, previously developed, optimized, and validated was, applied [44].
A total ion current (TIC) chromatogram of the Feteasca Neagra grape pomace extract in the negative ion mode, covering a scan range between 80–1000 m/z, is shown in Figure 3.
TIC and the extracted chromatograms of the main phenolic compounds quantified in Feteasca Neagra grape pomace (the chromatograms were extracted from TIC using a 5 ppm mass accuracy window; negative ion mode, full scan, base peak in the range 75–1000 m/z were illustrated in Figure S1).
A total of 26 polyphenolic compounds were simultaneously identified and quantified by comparing with reference standards, including ten phenolic acids, 13 flavonoids, stilbenes (t-resveratrol), plant hormone (abscisic acid), and ellagic acid, a dimeric derivative of gallic acid. The retention time, compound name, formula, m/z values of adduct ions, and MS/MS fragment ions in negative ESI mode, mass error, and accurate molecular mass are shown in Table 1.
Non-target UHPLC-Q-Orbitrap HRMS analysis allows one to identify other bioactive compounds and specialized metabolites that occur in grape pomace extracts, which are also responsible for antioxidant activity. Data processing analysis was carried out using Compound Discoverer software following a metabolomics working template, which includes RT alignment, background annotation, the assignment and comparison of fragmentation pattern, and molecular formula prediction, based on automated library and database search for identification purposes, including mzCloud (MS2 fragments), Chemspider, MzVault, and Mass List Matches [45].
A total of 32 compounds were identified in the grape pomace extracts. The extracted chromatograms (using a 5 ppm mass accuracy window) of the main bioactive phytochemical compounds (polyphenols, tannins, stilbenoids) and amino acids in grape pomace extracts were presented in Figure S2. The retention times and precursor ion mass and fragment ion data of these compounds are summarized in Table 2.

3.3. Quantitative Data of Phenolic Compounds in Grape Pomace of Different Grape Cultivars

The UPLC-HRMS/MS allows the routine determination of 26 compounds in grape pomace extracts (Table 3). The analysis was conducted in duplicate, and the results were expressed as mean values and standard deviations. Among the quantified compounds, quercetin (+)-catechin, (-)-epicatechin, gallic, and syringic acids and pinocembrin were presented in high amounts in grape pomaces, while naringin, hesperidin, apigenin, pinocembrin, chrysin, and galangin levels were found to be below quantification limits. Quercetin was found to be two- or three-fold higher in red grape pomaces compared to with white grape pomaces, higher amounts corresponding to Feteasca Neagra (1445.70 mg/100 g), Merlot (1208.27 mg/100 g) and Burgund Mare (1011.82 mg/100 g) grape pomaces, values much higher than those found in the literature for Merlot (56.65 mg/100 g [24], 31.15 mg/100 g [42]), Cabernet Sauvignon (13.98 mg/100 g [24] (Table S2). (+)-Catechin and (-)-epicatechin were quantified in higher amounts in white grape pomaces (142.080–185.68 mg/100 g for (+)-catechin and 123.94–142.83 mg/100 g for (-)-epicatechin) compared with red grape pomaces (79.24–157.54 mg/100 g for (+)-catechin and 70.90–85.87 mg/100 g for (-)-epicatechin), with higher amounts in Muscat Ottonel grape pomace. The obtained values for (+)-catechin were comparable with the literature data for pomace from red grape cultivars (Cabernet Sauvignon 150.16 mg/100 g, Merlot 122.29 mg/100 g, Isabel 94.28 mg/100 g) [24]. Literature data reported lower amounts of (-)-epicatechin in grape pomace, with values ranging between 18.24 and 44.36 mg/100 g [24]. Syringic acid from grape pomaces ranged from 18.31 to 19.80 mg/100 g in white grape pomaces and from 22.00 to 94.30 mg/100 g in red grape pomaces, with a higher amount in Merlot grape pomace. Gallic and ellagic acids were quantified in similar amounts in white and red grape pomaces with values between 6.44 and 14.02 mg/100 g for gallic acid and from 0.28 to 3.63 mg/100 g for ellagic acid. Similar amounts of syringic and gallic acids in grape pomace were reported in the literature, with gallic acid ranging from 2.52 and 36.04 mg/100 g [24,37,42,46], while syringic acid ranged from 46.9 to 173.1 mg/100 g for Cabernet Sauvignon, Merlot, and Malbec red grape pomace [37,42]. Pinostrobin was quantified in higher amounts in red grape pomaces, except Pinot Noir grape pomace (10.19–45.37 mg/100 g), in comparison with white grape pomaces (0.81–1.01 mg/100 g). Rutin was quantified in low amounts only in white grape pomaces while the literature data reported 4.20–41.43 mg/100 g of rutin in Cabernet Sauvignon, Merlot, Isabel, Malbec red grape pomace [37,38,42]. The amount of resveratrol in the studied grape pomaces ranged from 0.10 to 0.98 mg/100 g, while the literature data reported 4.02–9.00 mg resveratrol/100 g of Cabernet Sauvignon pomace [5,24], 3.02 mg/100 g. The results of the quantitative analysis are consistent with the studied literature studies (Table S2) [24,37,42,46].
The Pearson correlation analysis applied to the quantitative data (Figure 4) shows strong and moderate correlations between the main phenolic compounds in grape pomaces. The interpretation of correlation analysis was carried out using correlation coefficients with values higher than 0.5 (blue—negative correlations red—positive correlations).
Strong correlations were obtained for t-resveratrol with p-coumaric acid, for ellagic aid with cinnamic acid, for cinnamic acid with 3,4-dihydroxybenzoic acid, and for catechin with quercetin, while the majority of the phenolic compounds shows low correlations (Table S3).
Based on the results obtained, we can state that the grape pomace obtained from the investigated grape cultivars could be considered a valuable source of bioactive polyphenols (eg. Syringic and gallic acids, (+)-catechin and (-)-epicatechin, quercetin) with numerous beneficial effects on health, including antioxidant activity, anti-cancer activity, vasodilator activity and oxidative stress management [1,47,48,49,50].

3.4. Multivariate Data Analysis

Unsupervised classification by PCA and heat map analysis were used in order to show the differentiation of the different grape pomaces based on the composition of the main phenolic compounds. The heat map profiles based of the main bioactive phytochemicals from the grape pomaces indicate a clear differentiation of red grape pomace extracts from the white grape pomace extracts, but also from PN grape pomace (Figure 5A). The grouping of Pinot Noir red grape pomace alongside white grape pomace can be explained by the late harvesting of the grapes, which cause the decrease of the phenolic compounds. Cabernet Sauvignon and Burgund Mare, but also Feteasca Neagra and Merlot grape pomaces, show similar phenolic profiles and are grouped in different clusters.
PCA explained 63.21% of the total variation using principal components with a higher contribution brought by PC1 (43.04%) when compared to PC2 (20.17%), (Figure 3). Along both PC1 and PC2 axes, the white grape pomaces can be differentiated from the red ones, as they are grouped in in a separate group (Figure 5B). PCA analysis also revealed the correlations among the polyphenols’ compositions in different grape pomaces. Our results showed that (+)-catechin, (-)-epicatechin, rutin, and p-coumaric and abscisic acids are specific phenolic markers of white grape pomace, while quercetin, syringic acid, t-resveratrol, isorhamnetin, and pinostrobin are specific phenolic markers of red grape pomaces.
Statistical analysis based on the qualitative data relating to phytochemical compounds (polyphenols, tannins, and stilbenoids) and nutritional information (amino acids) identified from the HRMS/MS screening of grape pomaces of different white and red grape cultivars was performed in order to discriminate between the grape pomace category. As shown by heat maps analysis (Figure 6A), a clear discrimination of white grape pomaces can be observed from the red ones based on the specific phytochemical compounds.
PCA analysis based on the phytochemical profiles of red grape pomace revealed their differentiation and correlations among the phytochemical and nutritional fingerprints of the pomace of different red grapes (Figure 6B). Thereby, nutritional compounds such as L-dopa and dopamine and its metabolite isohomovanilic acid, but also phytochemical compounds such as azaleic acid, tricetin, aesculetin, delphinidin, and petunidin, represent specific markers of Feteasca Neagra grape pomace, while procyanidins B1 and B2, piceatannol, and gingerol are representative compounds in Pinot Noir and Cabernet Sauvignon grape pomaces. Tryptofan amino acid and its metabolite tryptamine are implicated in various neuropsychiatric disorders [45], but ursolic acid, piceid, cyaniding, epigallocatechin, and isorhamnetin-3-glucoside, with antioxidant, anticarcinogenic, and anti-inflammatory properties were also characteristic of Burgund Mare grape pomace, while suberic acid, epicatechin gallate, quercetin-3-glucoside, and syringetin-3-glucoside are characteristic for Merlot grape pomace.
This study provides an integrative discussion of the correlation between the qualitative and quantitative polyphenols profiles and bioactive properties of grape pomace, also highlighting the identification of compounds that have not been commonly reported in grape pomace, but which could be involved in synergistic effects that contribute to the overall bioactive potential. Further studies are needed in order to quantify the amount of the specific bioactive compounds in grape pomace, including anthocyanins, procyanidin, stilbens, and amino acids, as well as their purification, in order to identify the potential for further biotechnological applications (food supplements and drugs).

4. Conclusions

The grape pomace represents a valuable source of high-added-value phytochemicals with important biological activities that can be used for the development of new functional foods, cosmetics, and supplements. The phytochemical bioactive composition of grape pomace varies in relation to the grape cultivar, with white grape pomaces being considered a good source of tannins, while red grape pomaces are considered a good source of anthocyanins. (+)-Catechin and (-)-epicatechin are representative of grape pomace resulting from white grape cultivars, while quercetin, syringic acid, and pinostrobin are representative of grape pomace resulting from red grape cultivars. However, more studies are needed to improve the extraction, separation, and purification of the bioactive compounds from grape pomace in large-scale production processes, thus supporting the circular economy schemes for a sustainable and environmentally friendly management of waste resulting from wine industry.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/separations9120395/s1: Figure S1: TIC and the extracted chromatograms of the main phenolic compounds quantified in Feteasca Neagra grape pomace (the chromatograms were extracted from TIC using a 5 ppm mass accuracy window; negative ion mode, full scan, and base peak in the range 75–1000 m/z); Figure S2: TIC and the extracted chromatograms of the main phenolic compounds (A) and amino acids (B) identified in Feteasca Neagra grape pomace (the chromatograms were extracted from TIC using a 5 ppm mass accuracy window; negative ion mode, full scan, base peak in the range 75–1000 m/z); Table S1: Content of total phenolic compounds (TP, expressed as GAE), total anthocyanins (Ant, expressed in mg/g), tannins (expressed in mg/g), antioxidant activity (expressed in µmoli Trolox/g) in grape pomace; Table S2: Phenolic compounds in grape pomace; Table S3: Correlation matrix and Pearson coefficients of determination for individual phenolic compounds in grape pomaces.

Author Contributions

Conceptualization, P.A.O. and E.-I.G.; methodology, E.-I.G.; software, E.-I.G.; validation, E.-I.G., P.A.O. and C.T.C.; formal analysis, P.A.O. and E.-I.G.; investigation, P.A.O., C.T.C., A.F. and E.-I.G.; resources, D.I.S. and R.E.I.; data curation, E.-I.G.; writing—P.A.O., C.T.C., A.F. and E.-I.G.; writing—review and editing, E.-I.G. and A.F.; visualization, R.E.I., D.I.S. and O.T.; supervision, R.E.I., D.I.S. and O.T.; project administration, R.E.I. and D.I.S. All authors have read and agreed to the published version of the manuscript.”

Funding

This research was funded by Ministry of Research, Innovation and Digitization through the Core Program, grant number 9N/2019, project PN 19 11 03 02 and grant number 42N/2019, project PN 19300104 and Program 1-Development of the national research and development system, Subprogram 1.1. Institutional performance-Projects to finance excellence in RDI, Contract No. 19PFE/30.12.2021.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data related to the manuscript are available in the manuscript and the supplementary material.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Bioactive properties of different grape pomace varieties (PN—Pinot Noir, M—Merlot, FN—Feteasca Neagra, CS—Cabernet Sauvignon, BU—Burgund, TR—Tamaioasa Romaneasca, MO—Muscat Ottonel).
Figure 1. Bioactive properties of different grape pomace varieties (PN—Pinot Noir, M—Merlot, FN—Feteasca Neagra, CS—Cabernet Sauvignon, BU—Burgund, TR—Tamaioasa Romaneasca, MO—Muscat Ottonel).
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Figure 2. Pearson correlation between the bioactive properties of different grape pomaces (red color: positive correlations and blue color: negative corelations).
Figure 2. Pearson correlation between the bioactive properties of different grape pomaces (red color: positive correlations and blue color: negative corelations).
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Figure 3. The obtained total ion current (TIC) chromatogram for the separation of polyphenolic compounds from Feteasca Neagra grape pomace extract by UHPLC–MS/MS detection in negative ionization mode.
Figure 3. The obtained total ion current (TIC) chromatogram for the separation of polyphenolic compounds from Feteasca Neagra grape pomace extract by UHPLC–MS/MS detection in negative ionization mode.
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Figure 4. Pearson correlation between the main phenolic compounds of different grape pomaces (positive corelations: red color and negative corelations: blue color).
Figure 4. Pearson correlation between the main phenolic compounds of different grape pomaces (positive corelations: red color and negative corelations: blue color).
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Figure 5. Differentiation of grape pomace based on the main quantified phytochemicals: Heat map (A) and PCA (B) (MO-Muscat Ottonel, TR-Tamaioasa Romaneasca, PN-Pinot Noir, CS-Cabernet Sauvignon, FN-Feteasca Neagra, M-Merlot, BM-Burgun Mare).
Figure 5. Differentiation of grape pomace based on the main quantified phytochemicals: Heat map (A) and PCA (B) (MO-Muscat Ottonel, TR-Tamaioasa Romaneasca, PN-Pinot Noir, CS-Cabernet Sauvignon, FN-Feteasca Neagra, M-Merlot, BM-Burgun Mare).
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Figure 6. Differentiation of grape pomace based on the phytochemical profiles (qualitative data): Heat map (A) and PCA (B) (MO-Muscat Ottonel, TR-Tamaioasa Romaneasca, PN-Pinot Noir, CS-Cabernet Sauvignon, FN-Feteasca Neagra, M-Merlot, BM-Burgun Mare).
Figure 6. Differentiation of grape pomace based on the phytochemical profiles (qualitative data): Heat map (A) and PCA (B) (MO-Muscat Ottonel, TR-Tamaioasa Romaneasca, PN-Pinot Noir, CS-Cabernet Sauvignon, FN-Feteasca Neagra, M-Merlot, BM-Burgun Mare).
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Table 1. The identification of phenolic compounds in grape pomace by UHPLC-HRMS with structures confirmed by comparison with reference standards.
Table 1. The identification of phenolic compounds in grape pomace by UHPLC-HRMS with structures confirmed by comparison with reference standards.
NoCompoundRetention Time
(min)
FormulaExact MassAccurate Mass
(M-H)
Experimental Adduct Ion (m/z)Mass Fragments
Phenolic acids
1Gallic acid1.98C7H6O5170.0215169.0142169.0133125.0231
23,4-Dihydroxybenzoic acid4.26C7H6O4154.0266153.0193153.0184109.0281
34-Hydroxybenzoic acid6.51C7H6O3138.0316137.0243137.0233118.9650, 96.9588, 71.0124
4t-Ferulic acid7.82C10H10O4194.0579193.0506193.0499178.0262, 134.0361
5Chlorogenic acid7.90C16H18O9354.0950353.0877353.0880191.0553
6Caffeic acid8.03C9H8O4180.0422179.0349179.0343135.044
7Syringic acid8.44C9H10O5198.0528197.0455197.0450182.0212, 166.9976, 153.0547, 138.0311, 123.0075
8Cinnamic acid8.45C9H8O2148.0524147.0451147.0442119.0489, 103.0387
9p-Coumaric acid8.72C9H8O3164.0473163.0400163.0390119.0489
Flavonoids
10Catechin7.57C15H14O6290.0790289.0717289.0719109.0282, 123.0349, 125.0232, 137.0232, 151.0390, 203.0708
11Epi-catechin8.14C15H14O6290.0790289.0717
12Rutin9.42C27H30O16610.1533609.1460609.1473301.0352, 300.0276
13Naringin8.99C27H32O14580.1791579.1718579.1718363.0721
14Hesperidin9.33C28H34O15610.1897609.1824609.1828377.0876
15Quercetin10.66C15H10O7302.2357301.0354301.0356151.0226, 178.9977, 121.0282, 107.0125
16Isorhamnetin11.79C16H12O7316.0582315.0509315.0515300.0277
17Kaempferol11.59C15H10O6286.0477285.0404285.0406151.0389, 117.0180
18Apigenin11.86C15H10O5270.0528269.0455269.0455117.0333, 151.0027, 107.0126
19Pinocembrin12.58C15H12O4256.0735255.0662255.0663213.0551, 151.0026, 107.0125
20Chrysin13.41C15H10O4254.0579253.0506253.0505143.0491, 145.0284, 107.0125, 209.0603, 63.0226, 65.0019
21Galangin13.68C15H10O5270.0528269.0455269.0455169.0650, 143.0491
22Pinostrobin14.77C16H14O4270.0892269.0819269.0822179.0554
Other compounds
23t-Resveratrol9.55C14H12O3228.0786227.0713227.0707185.0813, 143.0337
24Ellagic acid9.69C14H6O8302.0062300.9989300.9993300.9990
25Abscisic acid10.08C15H20O4264.1361263.1288263.1290179.9803, 191.9454
Table 2. Identification of bioactive phytochemical compounds (polyphenols, tannins, stilbenoids) and amino acids in grape pomace extracts by UHPLC-Q-Exactive high-accuracy analysis of deprotonated precursors and fragment ions of specific components combined with data processing using Compound Discoverer software.
Table 2. Identification of bioactive phytochemical compounds (polyphenols, tannins, stilbenoids) and amino acids in grape pomace extracts by UHPLC-Q-Exactive high-accuracy analysis of deprotonated precursors and fragment ions of specific components combined with data processing using Compound Discoverer software.
NoCompoundRetention Time
[min]
FormulaExact MassAccurate Mass
[M-H]/[M-H]+
Experimental Adduct Ion (m/z)Mass Fragments
Polyphenols, tanins, stilbenoids by UHPLC-MS/MS in negative ionization mode
1Quercetin-3-glucoside9.46C21H20O12464.0954463.0881463.0888301.0354, 101.0231, 300.0277
2Kaempferol-3-glucoside9.31C21H20O11448.1005447.0932447.0938285.0406, 151.0027, 125.0232, 174.9553
4Isorhamnetin-3-glucoside9.67/
9.98
C22H22O12478.1111477.1038477.1042/
477.1044
174.9553, 112.9844, 285.0406, 314.0436
5Syringetin-3-glucoside9.92C23H24O13508.1217507.1144507.1148289.0723, 112.9844, 174.9554, 344.0542
6Epicatechin gallate8.58C22H18O10442.0899441.0826441.0830169.0132, 125.0232, 289.0719
7Epigallocatechin7.73C15H14O7306.0739305.0666305.066912.0232, 137.0233, 109.0282
8Isohomovanillic acid9.35C9H10O4182.0579181.0507181.0499125.0232, 146.9602
9Suberic acid8.92C8H14O4174.0892173.0820173.0812125.0232, 109.0282, 146.9601, 940285
10Homoferreirin9.42C17H16O6316.0946315.0874315.0878125.0960, 123.0440
11Tricetin10.66C15H10O7302.0426301.0354301.0356151.0027, 107.0126, 121.0283
12[6]-Gingerol 13.33C17H26O4294.1831293.1759293.1761221.1544, 220.1465
13Azelaic acid 9.77C9H16O4188.1048187.0976187.0969300.9992, 141.0911
14Ursolic acid 19.40C30H48O3456.3603455.3531455.353596.9587
15Esculetin 9.15C9H6O4178.0266177.0194177.018696.9588, 109.0282, 118.9651, 146.9602
16Procyanidin dimers (B1, B2)7.32/
7.81/
C30H26O12578.1424577.1351577.1356407.0775, 289.0720, 125.0232
17Procyanidin dimer monogallate8.08C37H30O16730.1533729.1460729.1471577.1359, 407.0776, 125.0232
18Polydatin (piceid)8.78/
9.42
C20H22O8390.1314389.1241389.1248227.0710, 245.0818
19Piceatannol8.98C14H12O4244.0735243.0662243.0663233.1546, 227.0347, 241.0502
20Malvidin 3-Oglucoside8.48C25H27O13528.1034527.0961527.0965331.0828
21Malvidin 3-(6″-acetylglucoside)7.99C25H27O13535.1445534.1372534.1418331.0830
22Malvidin 3-O-p-coumaroylglucoside10.08C32H31O14639.1708638.1635638.1602331.0830
Antochyanins and aminoacids by UHPLC-MS/MS in positive ionization mode
23peonidin8.00C16H13O6301.0706301.0706301.0712266.9989, 283.0311
24Peonidin-3-glucoside8.43C22H23O11463.1234463.1238463.1244301.0716
25Delphinidin10.68C15H11O7303.0499303.0504303.0504283.0309, 266.9996, 299.0622
26Petunidin11.78C16H13O7317.0655317.0655317.0663283.0310, 266.9996, 299.0623
27Cyanidin7.61C15H11O6287.055287.0553287.0557218.3817
28Malvidin 7.59C17H15O7331.0812331.0812331.0800315.0500, 287.0556
29Tryptophan6.55C11H12N2O2204.0898205.0971205.0977118.0656, 143.0733, 115.0548
30L-dopa4.20C9H11NO4197.0688198.0761198.076691.0581, 124.0397
31Dopamine8.65C8H11NO2153.0789154.0862154.086791.0581, 56.9658
32Tryptamine7.25C10H12N2160.1161.1073161.107791.0581, 56.9658
Table 3. Concentration of phenolic compounds in different grape pomaces (mg/100 g DW).
Table 3. Concentration of phenolic compounds in different grape pomaces (mg/100 g DW).
Phenolic CompoundWhite Grape CultivarsRed Grape Cultivars
Muscat
Ottonel
Tamaioasa RomaneascaCabernet SauvignonFeteasca NeagraMerlotBurgund MarePinot Noir
Gallic acid10.71 ± 0.5411.12 ± 0.569.25 ± 0.4610.95 ± 0.5514.07 ± 0.707.56 ± 0.386.44 ± 0.32
3,4-Dihydroxybenzoic acid0.39 ± 0.020.55 ± 0.030.93 ± 0.051.55 ± 0.080.70 ± 0.040.60 ± 0.030.67 ± 0.03
4-Hydroxybenzoic acid0.13 ± 0.010.23 ± 0.01<0.130.26 ± 0.010.17 ± 0.010.16 ± 0.01<0.13
t-Ferulic acid0.13 ± 0.010.22 ± 0.010.17 ± 0.010.23 ± 0.010.15 ± 0.01<0.13<0.13
Chlorogenic acid<0.13<0.13<0.13<0.13<0.13<0.13<0.13
Caffeic acid0.13 ± 0.010.19 ± 0.010.13 ± 0.010.25 ± 0.010.34 ± 0.020.19 ± 0.01<0.13
Syringic acid19.80 ± 0.9918.31 ± 0.9222.75 ± 1.1448.43 ± 2.4294.30 ± 4.7122.00 ± 1.1048.14 ± 2.41
Cinnamic acid0.69 ± 0.030.73 ± 0.041.00 ± 0.053.06 ± 0.150.37 ± 0.020.73 ± 0.040.56 ± 0.03
p-Coumaric acid0.22 ± 0.010.21 ± 0.010.24 ± 0.010.21 ± 0.010.26 ± 0.01<0.150.26 ± 0.01
catechin185.68 ± 9.28142.80 ± 7.14126.26 ± 6.3179.24 ± 3.96126.56 ± 6.33120.98 ± 6.05157.54 ± 7.88
epi-catechin142.83 ± 7.14123.94 ± 6.2076.24 ± 3.8170.90 ± 3.5585.87 ± 4.2879.24 ± 3.9683.62 ± 4.18
rutin0.16 ± 0.010.32 ± 0.02<0.14<0.14<0.14<0.14<0.14
naringin<0.14<0.14<0.14<0.14<0.140.14<0.14
hesperidinNFNF<0.14<0.14<0.140.14<0.14
quercitin355.42 ±
17.77
672.59 ±
33.63
992.49 ±
49.62
1445.70 ±
72.28
1208.27 ±
60.41
1011.82 ±
50.59
360.90 ±
18.05
isorhamnetin0.96 ± 0.051.70 ± 0.086.29 ± 0.317.32 ± 0.375.46 ± 0.278.32 ± 0.423.02 ± 0.15
kaemferol0.29 ± 0.010.540.030.21 ± 0.010.41 ± 0.020.99 ± 0.050.79 ± 0.04<0.10
apigenin<0.20<0.20<0.20<0.20<0.20<0.20<0.20
pinocembrin<0.19<0.19<0.19<0.19<0.19<0.19<0.19
crysin<0.18<0.18<0.18<0.18<0.18<0.18<0.18
galangin<0.13<0.13<0.13<0.13<0.13<0.13<0.13
pinostrobin1.01 ± 0.050.81 ± 0.0445.37 ± 2.2710.19 ± 0.5113.52 ± 0.6838.72 ± 1.940.96 ± 0.05
t-resveratrol0.35 ± 0.020.58 ± 0.030.35 ± 0.020.64 ± 0.030.35 ± 0.020.98 ± 0.05<0.14
Ellagic acid1.14 ± 0.060.87 ± 0.041.23 ± 0.063.63 ± 0.181.53 ± 0.081.22 ± 0.060.28 ± 0.01
Abscisic acid<0.130.14 ± 0.010.14 ± 0.01<0.13<0.13<0.130.15 ± 0.01
NF—not found.
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Onache, P.A.; Geana, E.-I.; Ciucure, C.T.; Florea, A.; Sumedrea, D.I.; Ionete, R.E.; Tița, O. Bioactive Phytochemical Composition of Grape Pomace Resulted from Different White and Red Grape Cultivars. Separations 2022, 9, 395. https://doi.org/10.3390/separations9120395

AMA Style

Onache PA, Geana E-I, Ciucure CT, Florea A, Sumedrea DI, Ionete RE, Tița O. Bioactive Phytochemical Composition of Grape Pomace Resulted from Different White and Red Grape Cultivars. Separations. 2022; 9(12):395. https://doi.org/10.3390/separations9120395

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Onache, Petronela Anca, Elisabeta-Irina Geana, Corina Teodora Ciucure, Alina Florea, Dorin Ioan Sumedrea, Roxana Elena Ionete, and Ovidiu Tița. 2022. "Bioactive Phytochemical Composition of Grape Pomace Resulted from Different White and Red Grape Cultivars" Separations 9, no. 12: 395. https://doi.org/10.3390/separations9120395

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