Italian Grape Ale Beers Obtained with Malvasia di Candia Aromatica Grape Variety: Evolution of Phenolic Compounds during Fermentation

Italian grape ale (IGA) beers have been categorized by the Beer Judge Certification Program as a sub-category of fruit beers in which grape, or grape must, is added during the brewing process to provide additional characteristics to the final beer. In the present work, IGA beers have been produced with must and pomace of the Malvasia di Candia Aromatica (MaCA) grape variety, which were added before fermentation at two different percentages (10% and 20%). The (poly)phenolic profile of IGA beers have been characterized with HPLC-MS/MS and compared to a golden ale control beer (produced in the same conditions without the addition of grape-derived ingredients). A series of sub-samples have been collected to monitor the (poly)phenol profile at time 0 and during the different phases of the fermentation process (1, 3, 5, 7 30, 65 days). Results demonstrated how the addition of pomace allowed to significantly enrich (p < 0.05) final beers in total (poly)phenols detected by MS, while must addition did not influence that amount if compared to the control sample. However, a PCA cluster analysis identified strong similarities among IGA beers and differentiated them to control beer samples. This study underlined how the addition of must and pomace from the MaCA grape variety improved the (poly)phenolic profile of beer from both a qualitative and quantitative point of view.


Introduction
Beer is the most consumed alcoholic beverage in the world [1]. In 2015, a new subcategory of beer has been proposed with the name Italian Grape Ale (IGA) [2], and commercial products are now available on the Italian market [3]. IGA beers differ from other beer products for the addition of grape or grape must in the formulation, thus representing a perfect linkage between the brewing and the winemaking sector. Furthermore, the use of surplus grapes and must, or winery waste (e.g., grape pomace), during the brewing process represents a valorizing opportunity to increase the sustainability of both strategic industrial assets. In particular, pilsner/pils or other pale base malts are used in combination with a variable amount of grape/grape must, which can range from 5% to 40% of the wort composition [3]. Furthermore, brewers can choose the brewing step for the grape addition, the type of high fermentation process (yeast from beer, wine or without yeast), making the wide range of these parameters an indication of the complexity of this style [4]. In 2021, De Francesco et al. investigated the physicochemical, volatile, and sensory properties of 22 commercial IGA beers available on the Italian market for the first time, identifying complex and heterogeneous profiles due to the processing differences [3]. However, some

Experimental Design
Beermaking was carried out in a normal gravity process by means of a 12-hL plant (Spadoni, Orvieto, Italy). A Golden Ale wort was brewed with the addition of 250 kg of Pilsner Malt (Mouterij Dingemans, Stabroek, Belgium). The brewing steps were as follows: mashing-in was carried out at 60 • C with a water: malt ratio of 3:1 (750 L of water). The temperature of the mash was kept at 65 • C for 60 min (β-amylase rest). The mash out temperature was set at 78 • C. The temperature was raised 1 • C per minute. The mash was filtered by means of a thin bed membrane filter (Spadoni, Orvieto, Italy), and 550 L of water was used as sparging water. The spent grain water content was regulated until a value of 1.5 • Plato was reached. The wort (1300 L) was boiled for 60 min with hops added under the form of type 90 pellets (0.3 g/L of cv. Hallertauer Magnum for 60 min and 0.80 g/L of cv. Styrian Goldings in the last five minutes). The wort was consequently whirlpooled for 20 min and the trub was completely removed. The wort (final volume: 1200 L) was filtered and immediately cooled to a temperature of 21 • C, with an initial extract content that was measured at 12 • Plato. Extract content was determined at a temperature of 20 • C using a Densito 30PX manual oscillating densitometer (Mettler Toledo, Columbus, OH, USA). MaCA grapes were harvested at technological maturity in the Emilia-Romagna province of Piacenza. The grapes were destemmed and gently pressed with a hydraulic press at 0.8 bar for one minute (Model W40; Grifo Marchetti, Piadena, CR, Italy). Both the must and pomace were immediately stored at −20 • C. The must and pomace from the grape were defrosted at 4 • C overnight the same day as the beer wort production happened, which was on 28 October 2021. At the end of boiling, the grape must and pomace were pasteurized at 80 • C for 15 s and consequently blended with beer wort at two different percentage levels: 10% and 20%. A control beer was produced in the same condition without the addition of grape-derived ingredients. All the final blends were done in triplicate, for a total of 15 different batches of fermentation. All the worts were moved separately to 5 L plastic vats (Beer&Wine, Piacenza, Italy) and were inoculated with Saccharomyces cerevisiae (30 g/hL; SafAle US-05, Lesaffre, Marcq-en-Baroeul, France). The fermentations were performed at 20 ± 1 • C and monitored daily by measuring the density (Densito 30PX manual oscillating densitometer, Mettler Toledo, Columbus, OH, USA) until the end of fermentation (day 7). Afterwards, the beers were racked off to separate solid parts from the liquids. Then, the beers were chilled to 4 • C for 23 days, and finally 4.8 g/L of sucrose was added with Saccharomyces cerevisiae (5 g/hL; SafAle F2, Lesaffre, Marcq-en-Baroeul, France). The beers were bottled with screwcaps in 330 mL dark-glass bottles, and re-fermentation processes took place at 20 • C for 10 days and were monitored by checking the internal pressure using an afrometer (Oeno Italia, Brescia, Italy). Subsamples were collected at different timepoints as reported in Figure 1 after day 0, 1, 3, 5, 7, 30 and 65, and immediately stored at −20 • C. 20 °C using a Densito 30PX manual oscillating densitometer (Mettler Toledo, Columbus, OH, USA). MaCA grapes were harvested at technological maturity in the Emilia-Romagna province of Piacenza. The grapes were destemmed and gently pressed with a hydraulic press at 0.8 bar for one minute (Model W40; Grifo Marchetti, Piadena, CR, Italy). Both the must and pomace were immediately stored at −20 °C. The must and pomace from the grape were defrosted at 4 °C overnight the same day as the beer wort production happened, which was on 28 October 2021. At the end of boiling, the grape must and pomace were pasteurized at 80 °C for 15 s and consequently blended with beer wort at two different percentage levels: 10% and 20%. A control beer was produced in the same condition without the addition of grape-derived ingredients. All the final blends were done in triplicate, for a total of 15 different batches of fermentation. All the worts were moved separately to 5 L plastic vats (Beer&Wine, Piacenza, Italy) and were inoculated with Saccharomyces cerevisiae (30 g/hL; SafAle US-05, Lesaffre, Marcq-en-Baroeul, France). The fermentations were performed at 20 ± 1 °C and monitored daily by measuring the density (Densito 30PX manual oscillating densitometer, Mettler Toledo, Columbus, USA) until the end of fermentation (day 7). Afterwards, the beers were racked off to separate solid parts from the liquids. Then, the beers were chilled to 4 °C for 23 days, and finally 4.8 g/L of sucrose was added with Saccharomyces cerevisiae (5 g/hL; SafAle F2, Lesaffre, Marcq-en-Baroeul, France). The beers were bottled with screwcaps in 330 mL dark-glass bottles, and re-fermentation processes took place at 20 °C for 10 days and were monitored by checking the internal pressure using an afrometer (Oeno Italia, Brescia, Italy). Subsamples were collected at different timepoints as reported in Figure 1 after day 0, 1, 3, 5, 7, 30 and 65, and immediately stored at −20 °C.

(Poly)Phenol Extraction from Beers
Before analysis, each sample was gently shaken and degassed by ultra-sonication. Next, 100 µ L of sample were mixed with 900 µ L of water: acetonitrile (9:1 v/v) and transferred into a vial for the mass spectrometry analysis (MS).

(Poly)Phenol Analysis with HPLC-MS/MS
The system consisted of a Vanquish pump and autosampler, a TSQ Fortis triplequadrupole mass spectrometer (Thermo-Fisher Scientific, San Jose, CA, USA). The separation was performed with a Betasil RP-18 column (5 µ m particle size, 150 × 2.1 mm, Thermo-Fisher) with a gradient water: acetonitrile (both acidified with 0.2% of formic acid) of 90:10 maintained for 1 min, from 90:10 to 5:95 for 6 min, isocratic for 1 min, from 5:95 to 90:10 for 1 min and then isocratic for 10 min; the flow rate was 0.2 mL/min and the injection volume was 10 µ L. (Poly)phenols were monitored with a spray voltage of +4000 V for positive transitions, or −3500 V for the negative ones; the ion transfer tube temperature was 270 °C, the vaporizer temperature was 200 °C, the sheath gas flow was of 35 units and the auxiliary gas flow was of 12 units. Detection of all the considered analytes was performed in the SRM modality (single reaction monitoring) by monitoring the characteristic transitions for each considered (poly)phenol (Table 1).

(Poly)Phenol Extraction from Beers
Before analysis, each sample was gently shaken and degassed by ultra-sonication. Next, 100 µL of sample were mixed with 900 µL of water: acetonitrile (9:1 v/v) and transferred into a vial for the mass spectrometry analysis (MS).

(Poly)Phenol Analysis with HPLC-MS/MS
The system consisted of a Vanquish pump and autosampler, a TSQ Fortis triplequadrupole mass spectrometer (Thermo-Fisher Scientific, San Jose, CA, USA). The separation was performed with a Betasil RP-18 column (5 µm particle size, 150 × 2.1 mm, Thermo-Fisher) with a gradient water: acetonitrile (both acidified with 0.2% of formic acid) of 90:10 maintained for 1 min, from 90:10 to 5:95 for 6 min, isocratic for 1 min, from 5:95 to 90:10 for 1 min and then isocratic for 10 min; the flow rate was 0.2 mL/min and the injection volume was 10 µL. (Poly)phenols were monitored with a spray voltage of +4000 V for positive transitions, or −3500 V for the negative ones; the ion transfer tube temperature was 270 • C, the vaporizer temperature was 200 • C, the sheath gas flow was of 35 units and the auxiliary gas flow was of 12 units. Detection of all the considered analytes was performed in the SRM modality (single reaction monitoring) by monitoring the characteristic transitions for each considered (poly)phenol (Table 1). Table 1. Characteristic transitions monitored for the targeted (poly)phenols and their limit of quantification (LOQ), limit of detection (LOD), and range of linearity. The performance of the method was evaluated by determining the limit of detection (LOD), the limit of quantification (LOQ), and the range of linearity (Table 1) for each compound. The linearity of calibration curves was very satisfactory, providing coefficient of determination values (R 2 ) that were always above 0.995. Finally, the recovery percentages were assessed at two spike levels, and the results always provided a value above 95%. Individual compounds were quantified using a calibration curve of the corresponding standard compound.

Statistical Analysis
Data are expressed as mean ± standard deviation and are the mean of three different replicates. (Poly)phenol concentrations were Log transformed (base 10) and subjected to Principal Component Analysis (PCA) followed by k-means cluster analysis. The four most significative variables (from the PCA loading plot) were subjected to one-way analysis of variance (ANOVA) with Tukey's Post Hoc test to determine the differences among sub-samples collected at different time points for each beer. Finally, a correlation analysis was performed on the entire dataset to identify the overall correlations between different features, and it was visualized with a heatmap correlation diagram. The elaboration was performed with MetaboAnalyst 5.0 (Available online at https://www.metaboanalyst.ca/; accessed on 15 June 2022) and SPSS version 21.0 (SPSS Inc., Chicago, IL, USA).

Results
The addition of must and pomace of MaCA at different percentages (10% and 20%) during the production of IGA beers influenced the amount of the total (poly)phenols quantified with MS in comparison to the control beer ( Figure 2).
In particular, the total amount of (poly)phenols identified ranged between 7 ppm in beer enriched with 20% of must, to 33 ppm for beer enriched with 20% of pomace. To investigate the kinetic and fate of (poly)phenols during the whole brewing process, a series of sub-samples were collected from each beer at different time points and analysed for their (poly)phenol profile (Table S1 in the Supplementary Materials).

Results
The addition of must and pomace of MaCA at different percentages (10% and 20%) during the production of IGA beers influenced the amount of the total (poly)phenols quantified with MS in comparison to the control beer ( Figure 2). In particular, the total amount of (poly)phenols identified ranged between 7 ppm in beer enriched with 20% of must, to 33 ppm for beer enriched with 20% of pomace. To investigate the kinetic and fate of (poly)phenols during the whole brewing process, a series of sub-samples were collected from each beer at different time points and analysed for their (poly)phenol profile (Table S1 in the Supplementary Materials).
The kinetic of total (poly)phenols identified by MS during the different steps from the first fermentation to the bottle storage is reported in Figure 2. The results demonstrated that the final beers (T65) obtained with the addition of pomace at both 10 and 20% were characterized by a significant increase of total (poly)phenols compared to the corresponding T0 samples. On the contrary, a significative decrease in total (poly)phenols was detected from the beginning of fermentation (T0) to the final beer in the control group and the must-enriched IGA samples. The entire dataset was then elaborated with a principal component analysis (PCA) (Figure 3), and 58% of the total variance was explained by the first two principal components (41.7 and 16.6%, respectively). The kinetic of total (poly)phenols identified by MS during the different steps from the first fermentation to the bottle storage is reported in Figure 2. The results demonstrated that the final beers (T65) obtained with the addition of pomace at both 10 and 20% were characterized by a significant increase of total (poly)phenols compared to the corresponding T0 samples. On the contrary, a significative decrease in total (poly)phenols was detected from the beginning of fermentation (T0) to the final beer in the control group and the mustenriched IGA samples. The entire dataset was then elaborated with a principal component analysis (PCA) (Figure 3), and 58% of the total variance was explained by the first two principal components (41.7 and 16.6%, respectively).  A K-means cluster analysis was performed in order to identify the potential presence of clusters and similarities between the whole dataset. The non-hierarchical cluster technique allowed for the identification of three different clusters ( Figure 3): (i) 10% and 20% must and pomace IGA samples from the T3 to the final beer; (ii) 10% and 20% must and pomace IGA samples from the T0 to T1; and (iii) control samples from T0 to the final beer. The clusterization highlighted how the addition of 10 and 20% of must and pomace induced a systemic differentiation from the control group. In addition, among IGA samples, a further clusterisation has been made based on the sampling stage. A PCA loading plot A K-means cluster analysis was performed in order to identify the potential presence of clusters and similarities between the whole dataset. The non-hierarchical cluster technique allowed for the identification of three different clusters ( Figure 3): (i) 10% and 20% must and pomace IGA samples from the T3 to the final beer; (ii) 10% and 20% must and pomace IGA samples from the T0 to T1; and (iii) control samples from T0 to the final beer. The clusterization highlighted how the addition of 10 and 20% of must and pomace induced a systemic differentiation from the control group. In addition, among IGA samples, a further clusterisation has been made based on the sampling stage. A PCA loading plot ( Figure 4) identified quercetin, kaempferol, caftaric acid and trans-fertaric acid as the most important contributors to distinguish the three clusters.
control beers, revealing three major groups according to the log-transformed (poly)phenol concentration.
A K-means cluster analysis was performed in order to identify the potential presence of clusters and similarities between the whole dataset. The non-hierarchical cluster technique allowed for the identification of three different clusters ( Figure 3): (i) 10% and 20% must and pomace IGA samples from the T3 to the final beer; (ii) 10% and 20% must and pomace IGA samples from the T0 to T1; and (iii) control samples from T0 to the final beer. The clusterization highlighted how the addition of 10 and 20% of must and pomace induced a systemic differentiation from the control group. In addition, among IGA samples, a further clusterisation has been made based on the sampling stage. A PCA loading plot ( Figure 4) identified quercetin, kaempferol, caftaric acid and trans-fertaric acid as the most important contributors to distinguish the three clusters.  For these most significant (poly)phenols, p values of ANOVA were calculated to evaluate the presence of significative differences among their concentration at the different time points (Table 2).
Quercetin, when detected, presented a range of concentration which varied from 49 ppb in the control sample at T0 to 2.8 ppm in the final beer produced with 20% of pomace. Except for the control samples, where the quercetin concentration remained lower than 1 ppm in the final beer, quercetin in IGA samples significantly increased by up to the 400% after 5 days from the starting of fermentation to the final beer. Caftaric acid and transfertaric acid were detected only in IGA samples. Caftaric acid concentration decreased in all samples during the monitored period, even if it became significant only for must-enriched samples after 7 days from the beginning of fermentation. On the contrary, the trans-fertaric acid concentration increased with the increasing of the fermentation period, reaching the maximum concentration at T5 in all IGA samples. Finally, kaempferol was detected in the control group only in the final beer, while in IGA samples it became detectable after 3 days of fermentation, then significantly increased in the final beers. To investigate the potential relationships between variables and the strength of these relationships, a correlation matrix was performed, and the correlation heatmap was reported in Figure 5. Results are expressed as ppm and are the mean of three independent analyses. Statistical differences were determined for each phenolic compound between sub-samples of each beer. Different letters identified the presence of significative differences (ANOVA with Tukey's Post Hoc test; p < 0.05). The bold should be maintained since they define the different type of samples characterized in the study, and differentiate them to the data collected.
Strong positive correlations (R 2 > 0.7) were identified between protocatechuic acid and rutin, quercetin and kaempferol, trans-coutaric and trans-fertaric acid, and (+)-catechin and 4-hydroxybenzoic acid. On the contrary, strong negative correlations (R 2 < −0.7) were determined with rutin compared to both quercetin and kaempferol. fertaric acid concentration increased with the increasing of the fermentation period, reaching the maximum concentration at T5 in all IGA samples. Finally, kaempferol was detected in the control group only in the final beer, while in IGA samples it became detectable after 3 days of fermentation, then significantly increased in the final beers. To investigate the potential relationships between variables and the strength of these relationships, a correlation matrix was performed, and the correlation heatmap was reported in Figure  5. Strong positive correlations (R 2 > 0.7) were identified between protocatechuic acid and rutin, quercetin and kaempferol, trans-coutaric and trans-fertaric acid, and (+)-catechin and 4-hydroxybenzoic acid. On the contrary, strong negative correlations (R 2 < −0.7) were determined with rutin compared to both quercetin and kaempferol.

Discussion
In 2015, IGA beers were proposed as a new sub-category of fruit beer obtained by the addition of grape or grape must to pilsner/pils or other pale base malts. In the present work, the MaCA grape variety was chosen for producing four different IGA beers, obtained by the addition of 10% and 20% of pomace or must before fermentation. The MS analysis allowed for the determination of the (poly)phenol profile of these IGA beers and its comparison to that of a control beer produced with the same method but without the addition of grape. IGA beers produced with pomace at both 10 and 20% presented a total amount of (poly)phenols quantified by MS, which was 86 and 239% higher than that of

Discussion
In 2015, IGA beers were proposed as a new sub-category of fruit beer obtained by the addition of grape or grape must to pilsner/pils or other pale base malts. In the present work, the MaCA grape variety was chosen for producing four different IGA beers, obtained by the addition of 10% and 20% of pomace or must before fermentation. The MS analysis allowed for the determination of the (poly)phenol profile of these IGA beers and its comparison to that of a control beer produced with the same method but without the addition of grape. IGA beers produced with pomace at both 10 and 20% presented a total amount of (poly)phenols quantified by MS, which was 86 and 239% higher than that of the control beer, respectively. On the contrary, the addition of must affected the total (poly)phenol content with respect to the control beer (on average 17% less), even if no significant differences were determined. The results underlined how the pomace and must of the MaCA grape variety differently influenced the amount of total (poly)phenols in beers detected by MS. These differences can be related to the different amount of total (poly)phenols in the starting material, with pomace which represented the raw product having a higher concentration of total (poly)phenols compared to must [9,10]. Gasiński et al. produced IGA beers with white grape pomace added after primary fermentation and determined a total (poly)phenol content 150% higher than that of a control lager beer [11]. Also, Veljovic et al. increased the content of total (poly)phenols by producing a lager beer using fermented grape must and wort [12]. In the present work, for the first time, the (poly)phenol profile of IGA beers produced with the MaCA grape variety has been determined. The addition of MaCA must and pomace provided characteristic (poly)phenols to the IGA samples. In particular, caftaric acid, trans-coutaric and trans-fertaric acid, cinnamate esters of tartaric acid, which do not characterize normal beers [13,14], were detected only in IGA samples, since they are the main hydroxycinnamic acids found in grapes [15]. On the contrary, the grape addition affected the content of gallic acid, protocatechuic acid, chlorogenic acid, rutin, and sinapic acid in the final IGA beers compared to the control sample, even if these differences became significant only for chlorogenic acid and rutin. Pomace and must presented a different (poly)phenol profile due to the uneven distribution of these compounds among the grape skin, seeds and pulp [16]. These differences, in some cases, were also reflected in the final beers. As an example, the pomace-enriched beers presented a higher concentration of caftaric acid, (+)-catechin, (−)-epicatechin, trans-coutaric acid, and caffeic acid if compared to the must-IGA beers, all (poly)phenols which are mostly located in the grape skin and seeds rather than the pulp [16,17]. However, these compounds in the IGA samples pre-fermentation (T0) presented concentrations which were comparable or even higher in the must enriched samples rather than the pomace ones, in contrast with their distribution in grapes. These results suggested that the hydrolytic activities of yeast occurred during fermentations could have contributed to the release of these compounds from pomace. Among the different (poly)phenols, (+)-catechin resulted as the most abundant in all final beers, with concentration ranging from 2 ppm in mustenriched beers to 11 ppm in the IGA beer with 20% of pomace. This bioactive compound, already known to be one of the most abundant beer flavonoids [14,18], together with (−)epicatechin, is a precursor for the formation of proanthocyanidins, which provide structure and astringency to beer and are also correlated to haze formation [19]. Next to the final beers, a series of sub-samples have also been collected from each trial at different timepoints and analysed as well for their (poly)phenol profile. Fermentations and lagerization had different effects on the content of total (poly)phenols in the control and IGA samples. In fact, in the control and must-enriched samples, a reduction in the total amount of (poly)phenols detected by MS was determined. This could probably be associated with the enzymatic decarboxylation of free hydroxycinnamic acids, catalysed by phenylacrylic acid and ferulic acid decarboxylase, or to their binding with proteins and polysaccharides [20]. By analysing the (poly)phenol profile of each sub-sample, it was demonstrated by PCA and cluster analysis that IGA samples, produced by both must and pomace, clustered together and separated from the control samples. In addition, if for control samples there was not any additional clusterisation based on the fermentation and lagerization stage, in IGA beers an additional cluster was demonstrated based on the sampling time points. These results demonstrated that, even if the total (poly)phenol content of pomace -enriched samples was statistically higher than that produced with must, the MaCA grape variety provided a similar (poly)phenolic profile to IGA beers produced with must and pomace. IGA appears to be a complex and heterogeneous beer style. Next to the grape variety and the brewing step in which the grape can be added, the yeast strain which was selected for the fermentation also plays a crucial role [21]. The results here reported underline how the fermentation performed by Saccharomyces cerevisiae strictly influenced the (poly)phenol profile of IGA beers from both a qualitative and a quantitative point of view. The ability of fermentation to improve the yield and to change the profile of phenolic compounds could be mainly associated with the release of bound phenolic compounds and to their metabolization in a large array of new compounds [22]. Unfortunately, the fate of each individual phenolic compound during the brewing process is somehow difficult to integrate, since they may undergo different pathways [23]. The IGA and control samples presented some similarity in the (poly)phenolic profile, as did the increased concentration of ferulic acid during fermentation. This behaviour has also been noticed by Coghe et al., who attributed this rise to the feruloyl esterase activity of Saccharomyces cerevisiae [24]. With regard to the differences among IGA and control beers, the negative correlation between rutin and quercetin has only been identified in IGA samples. This correlation can be ascribable to Saccharomyces cerevisiae glycosidase's activity on rutin (structurally composed by quercetin bound to rutinose), with the subsequent release of free quercetin from the third day of fermentation. IGA beers were also characterised by the presence of a positive correlation between quercetin and kaempferol, probably due to the flavonol synthase activity exerted by Saccharomyces cerevisiae on the same dihydrokaempferol precursor [25].
In general, phenolic components of beer represent a great interest for brewers, since they directly affect the quality of beer, mainly in terms of its sensory characteristics. In addition, these plant-derived components may also exert biological activities within the human body. In fact, they are classified as non-nutrient molecules that are largely known for their antioxidant activity, but well described as compounds exerting a wide range of other biological functions related to the prevention of several non-communicable diseases [26,27]. However, it must be emphasized that the potential benefit associated with the higher amount of (poly)phenolic compounds present in IGA beers must be necessarily related to dietary guidelines on alcoholic beverages (including beer). In particular, it is strictly recommended to limit alcohol consumption as much as possible, not exceeding the low-risk dose (up to one alcoholic unit (corresponding to 1 beer (330 mL))/day for women and one alcoholic unit/day for men) to avoid the increased risk of developing chronic diseases, in particular cancer [28,29].
In the last decade, special beers produced with the addition of fruits, spices, and natural foods during the fermentation process have become very popular throughout the world, fulfilling the desire of consumers for new gustatory, olfactory, and visual stimuli [19]. Flavours and bioactive chemicals, such as (poly)phenols, are extracted from fruits added to beer during fermentation and maturation, contributing to boost the bioactive characteristics of beer. For this reason, fruit beers have been proposed to increase the content of bioactive compounds in beer, directly influencing its antioxidant potential [19]. However, besides their positive effect on preventing oxidation, they could negatively influence the colloidal and foam stability, directly affecting the shelf-life of beer. For this reason, further studies are needed in order to assess the shelf-life of IGA beers produced with pomace and must of the MaCA grape variety.