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Journal of Food Science and Technology logoLink to Journal of Food Science and Technology
. 2019 Jun 13;56(8):3707–3720. doi: 10.1007/s13197-019-03839-x

Impact of dealcoholization on quality properties in white wine at various alcohol content levels

Loredana Liguori 1,, Donatella Albanese 1, Alessio Crescitelli 2, Marisa Di Matteo 1, Paola Russo 3
PMCID: PMC6675842  PMID: 31413398

Abstract

The reduction of alcohol content in wines has two main objectives, the former is decreasing the wines’ strength and the latter is producing new low alcohol beverages. To accomplish the latter, in this study, we focused on the dealcoholization of a white wine (cv Falanghina, 12.5 vol%) obtained from an ancient Italian grape variety that has recently aroused a renewed interest. It was dealcoholized at various alcohol content levels ranging from 9.8 to 0.3 vol% through the osmotic distillation process, and the main quality parameters of the obtained dealcoholized samples were evaluated. No significant differences (p < 0.05) in total phenols, flavonoids, organic acids and total acidity were observed among the wine samples at different alcohol content levels. On the contrary, the volatile compounds content decreased with increasing alcohol removal. Specifically, almost 50% of higher alcohols with acids and lactones were preserved in dealcoholized wine at 9.8 vol% alcohol content, but this percentage reduced to 30% in the sample at 6.8 vol%, and was even lower in the dealcoholized wine with lower alcohol content. It was argued that the transport of volatile compounds through the membrane, beside the membrane selectivity, is highly correlated with the Henry constant (R2 > 0.8021 for 9.8 vol% of dealcoholized wine). Moreover, results of the sensory evaluation indicated a significant change in terms of acidity, odour, sweetness and body taste in dealcoholized wine (0.3 vol%), giving an overall perceived imbalance and unacceptable taste with respect to the original wine. Therefore, in order to balance acid sensation and enhance body and aftertaste, an attempt was made to formulate an alcohol-free wine-based beverage with enhanced odour and sweetness, by adding some floral wine flavours, up to the amount present in the original wine.

Keywords: Low alcohol content, Wine, Osmotic distillation, Membrane, Dealcoholization, Aroma

Introduction

In recent years, an increase of the alcohol content in wine has been observed, primarily determined by an improvement in wine quality and by climatic condition changes (Catarino and Mendes 2011). A compromise has been noted between wine makers and consumers, about the production and marketing of wines with or without reduced alcohol content, to reduce alcohol consumption. In fact, the Regulation (EC) n. 606/2009 and its amendments (Commission Implementing Regulation (EU) 144/2013) have authorized a slight correction of the alcoholic content up to a 20% maximum reduction of the initial content in wines. This has produced financial benefits for the wine industry and for wines themselves in terms of taxes and the balance of its components, respectively (Motta et al. 2017). Nowadays, there is no definition of sale denominations, and the use of denominations “dealcoholized wine” and “partially dealcoholized wine” depends on the legislation of each state. Since 2012, the OIV (Organisation Internationale de la Vigne et du Vin) has adopted two definitions: “Beverages obtained by wine dealcoholization” for those beverages with an alcohol content lower than 0.5 vol%; and “Beverages obtained by partial wine dealcoholization” for those in the range of 0.5–8.5 vol%, respectively (OIV-ECO 432-2012, OIV-ECO 433-2012 Resolutions).

The production of dealcoholized wines or beverages obtained by wine dealcoholization may represent a valid alternative for limiting alcohol consumption or for introducing new products into the market for people who cannot drink alcohol for various reasons (i.e. religion, diet, at work, etc.) (Liguori et al. 2018a).

The main technological issue when reducing the alcohol content in wines is the removal of ethanol without affecting the other wine components. Because of this, an efficient strategy for producing wine with reduced or low alcohol concentration involves a compromise between ethanol removal, energy demand and potential impact on wine composition and sensory quality (Varela et al. 2015).

Various techniques for limiting ethanol content in wines are available, such as those based on the reduction of the sugar level of the grape in the vineyard, restricting ethanol formation or removing it after fermentation (Varela et al. 2015; Longo et al. 2017; Mangindaan et al. 2018; Catarino and Mendes 2011; Schmidtke et al. 2012). Among these latter, the membrane processes seem to be more promising than thermal ones, because of the low operating temperatures (generally room temperature) and of high selectivity of membrane towards ethanol, which preserves the other volatile compounds in wine (Catarino and Mendes 2011). In addition to wine, various beverages were dealcoholized through membrane processes such as: alcoholic apple cider by reverse osmosis (RO) (López et al. 2002); beer by osmotic distillation (OD) (Liguori et al. 2016, 2018b; De Francesco et al. 2015) and by RO (Catarino et al. 2007). Reverse osmosis was applied to wines, but it resulted not economically sustainable to reach high levels of dealcoholization (< 0.5 vol%), also because it negatively affected odour sensations (Meillon et al. 2009). On the contrary, osmotic distillation (OD) was used for partial and total dealcoholization of wine, and the effects of process conditions on the quality characteristics of the dealcoholized wines were evaluated. In particular, Lisanti et al. (2013), Liguori et al. (2010, 2013a) and Fedrizzi et al. (2014) characterized chemical, physical and sensory profile of dealcoholized red wines, and found that their main quality parameters, at different alcohol contents, do not change with respect to the original ones, except volatile compounds for which a decrease was observed. Moreover, theoretical correlations for the prediction of ethanol and aroma compounds evolution during the osmotic distillation, were also developed (Diban et al. 2013; Liguori et al. 2013b).

On the contrary, only few papers in literature deal with dealcoholization of white wines. Meillon et al. (2010) the sensory profile of partially dealcoholized white wine by RO, whilst King and Hildegarde (2014) investigated the spinning cone column. Fedrizzi et al. (2014) analyzed aroma profile and isotopic composition of white and red wines which had been dealcoholized in pilot- and industrial-scale plants by OD; while Taran et al. (2014) evaluated some chemical properties (i.e. acids, residual sugars, pH) of dealcoholized white and red wines obtained by rotary evaporator.

From the literature review, dealcoholization process appeared to be mainly applied to red wines and only rarely to white wines. Aiming to contribute to filling this gap, the present study investigates the impact of OD on the evolution of oenological parameters and volatile compounds in white wine at different levels of alcohol, up to a content lower than 0.5 vol%. The wine used was a typical young white wine (i.e. cv. Falanghina), which is characterized by intense fruit and balsamic scents, moderately fruity aroma and dry, fresh and slightly acidic taste. Moreover, the loss of volatile compounds and the classes of volatiles that were removed by osmotic distillation were correlated with Henry’s Law constant. Finally, the dealcoholized wine was used for the development of an alcohol-free wine-based beverage.

Materials and methods

Experimental set up and dealcoholization conditions

Falanghina white wine with an alcohol content of 12.5 vol% was used for dealcoholization tests

The study was performed on Falanghina wine dealcoholization. Vitis vinifera L. cv. Falanghina is a white berry grape widely grown in several DOC areas of Campania, as well as in other regions of southern Italy. The wines obtained with this grape are characterized by intense fruit and balsamic scents, moderately fruity aroma and dry, fresh and slightly acidic taste (Moio et al. 2004).

The lab scale plant was equipped with the 1 × 5.5 minimodule (Liqui-cel) (Liguori et al. 2013a). The minimodule was made of a microporous hydrophobic polypropylene membrane, with a 1800 cm2 surface area, 42 μm thickness and 14 cm length, 40% porosity and 0.03 μm membrane pore diameter. The membrane module consisted of 2300 hollow fibers with dimensions of 11.5 cm length, 220 μm inner diameter and 300 μm outer diameter. Inside the module, the hollow fibres were wrapped around a central tube. This geometry allows high compactness, a very large contact area with a minimal volume. The feed (wine) and stripper (distilled water) streams flowed into the module in recycling and counter-current mode. According to our previous studies (Liguori et al. 2013b, 2015b) the wine (0.5 L) with a flow rate of 70 mL/min was fed to the module in the lumen side, while the distilled water (1 L) was fed at 140 mL/min in the tube side. The dealcoholization process was set up in cycles, with the final alcohol content being lower than 0.5 vol%. At the start of each cycle, fresh distilled water was used as stripper. Each cycle lasted 30 min. The dealcoholized wine collected at the end of each cycle was codified as W1–W8 corresponding to the cycle of the dealcoholization process. The process temperature was 10 °C, needed to reduce the volatility and hence the loss of volatile compounds.

Quality analyses

Analytical methods

Alcohol content, pH and total acidity were measured according to the OIV Compendium of International Methods of Analysis of Wine and Musts (2007).

Folin–Ciocalteu assay was used to determine the phenolic compounds concentration in wine samples (Singleton and Rossi 1965; Liguori et al. 2015a; Russo et al. 2013). The absorbance of solutions was read at 765 nm using a UV–vis spectrophotometer (Lambda Bio 40; PerkinElmer, Waltham, MA, USA) after 2 h of incubation in the dark. Gallic acid was used to obtain the calibration curve and the results were expressed as gallic acid equivalents (GAE mg/L).

The colour and flavonols analyses were performed by spectrophotometric measurements at 420 nm and 360 nm respectively, using a 1 cm optical path. In particular, for flavonols content, the samples (0.25 mL), diluted 10-fold by ethanol solution (10 vol%), were vortexed with 0.25 mL of 0.1% HCl (in 95% ethanol) and 4.55 mL of 2% HCl; the absorbance was read after 15 min. The calibration curves were constructed using diluted solutions of quercetin (in 95% ethanol) and results expressed as mg/L (Cliff et al. 2007).

Ion exchange chromatography was used to determine the organic acids content by means of the apparatus (Dionex Corporation, USA) equipped with an ED 50 electrochemical detector, Ionpac AS11 column (250 × 4 mm) and Ionpac AS11 Guard (50 × 4 mm). The wine samples were diluted and filtered through 0.22 μm pore size filters (MF-Millipore, USA). Standards of the organic acids were injected to obtain the retention time for each compound. The analytical procedure was performed applying the chromatographic conditions previously described by Liguori et al. (2013a).

Volatile compounds analysis

The volatile compounds of wine and dealcoholized wine samples were extracted with dichloromethane and ultrasound treatments at 20 °C for 10 min, according to Cocito et al. (1995) (Liguori et al. 2013a). The extraction was performed three times and, after separation, the organic layers were collected and dried on anhydrous sodium sulphate; then concentrated to a final volume of about 100 μl.

The volatile compounds were determined by GC–MS (Trace MS plus, Thermo Finnigan, USA) and by GC–FID (HP 6890, Agilent), both apparatuses equipped with a capillary column (Supelcowax 10; 60 m × 0.25 mm × 0.25 μm, Supelco, USA). The gas chromatographic conditions were in accordance with Liguori et al. (2013a). The volatile compounds were identified by comparison of the mass spectra obtained for each compound with those reported in NIST and Wiley libraries. Relative concentrations of isolated compounds were expressed as the ratio between peak area of the compound and that of the internal standard (2-octanol).

Statistical analysis

Dealcoholization trials and analytical measurements were carried out in triplicate and mean values and standard deviation values were reported. Monofactorial variance analysis was used to determine significant differences (p < 0.05) among Falanghina (control) wine and dealcoholized samples by Analysis Lab software.

Beverage formulation

The alcohol-free wine-based beverage was prepared by adding a must solution (2 vol%) and sodium bicarbonate (0.5 vol%) to the total dealcoholized wine (< 0.5 vol%). These substances were added to give body to the beverage and to reduce the acid and astringent tastes, which were detected during the tasting as defects of the dealcoholized wine. The aroma of alcohol free wine-based beverage was reconstituted by the addition of some floral wine flavours (i.e. 2-phenylethanol, ethyl decanoate and geraniol) up to the amount present in the original wine. Finally, the beverage was stabilized by microbial filtration.

Sensory evaluation

The quality assessment of alcohol-free wine-based beverage was performed by 25 untrained panelists recruited at University of Salerno. People were both Italian and of foreign nationality, alcohol-drinkers and teetotalers. The choice to recruit teetotalers was taken to get an evaluation by possible future consumers of the product. The panelists were asked to evaluate appearance, odour, sweetness, acidity, body, aftertaste, overall acceptability on a 9-point hedonic scale, anchored on the left by “dislike extremely” and on the right by “like extremely”. Beside the wine-based beverage, the panelists also tasted the original wine, and the total dealcoholized wine, with the exception the teetotalers panelists, who tasted only the dealcoholized wine.

Results and discussion

Wine dealcoholization

In wine dealcoholization by OD, the hydrophobic membrane prevents the penetration of aqueous solutions (wine and water) into the pores of membrane and hence, the selective separation mechanism of volatile compounds (mainly ethanol) from the wine depends on the vapor pressure difference between wine and water across the wall of the membrane.

The reduction of alcohol content in Falanghina wine was performed in 8 dealcoholization cycles. Each cycle lasted 30 min. In these conditions, kinetic tests on hydroalcoholic solutions (data not reported) showed that at the end of each cycle the alcohol reduction was about 30% of the initial value.

The alcohol concentrations in the wine samples (W0–W8) and in the strippers during dealcoholization tests were shown in Fig. 1. In W8 sample, the process allowed to obtain an alcohol content of 0.3 vol% starting from an initial alcoholic degree in Falanghina (W0) of 12.5 vol%. The decrease in alcohol content was higher in the first three cycles, where the concentration of alcohol in wine reduced up to 1/3, and lower in the subsequent cycles. Correspondingly, distilled water (stripper) was enriched with ethanol during each cycle, but to a higher extent in the early cycles of the process; subsequently, the amount of alcohol in the stripper decreased as much as the alcoholic concentration in the wine.

Fig. 1.

Fig. 1

Alcohol content (% vol) in Falanghina wine (W0) and dealcoholized wine samples (W1–W8) and in the stripper at each cycle of dealcoholization process

Effect of dealcoholization on wine’s volatiles

Volatile compounds

A total of 52 compounds (Table 1) were identified in the volatile fraction of Falanghina wine belonging to the following chemical classes: higher alcohols, esters, acids, ketones, lactones, phenols, and sulphur compounds. These compounds have different origins: varietal, pre-, during and post-fermentative. Volatiles identified in wines are primary constituents of fermentation products, which are present in the highest concentration (Lambrechts and Pretorius 2000).

Table 1.

Volatile compounds content (mg/L; mean values ± standard deviation) in Falanghina (W0) and dealcoholized wine samples (W1–W8)

Ret. time (min) Higher alcohols W0 W1 (− 2.7) Loss (%) W2 (− 5.5) Loss (%) W3 (− 8.7) Loss (%) W4 (− 9.8) Loss (%)
14.12 1-Propanol 1.38 ± 0.10A 0.60 ± 0.02B 56.2 0.03 ± 0.01C 97.6 nd nd
15.91 2-Methyl-1-propanol 1.02 ± 0.24A 0.65 ± 0.05B 45.8 0.05 ± 0.01C 95.2 nd nd
17.88 1-Butanol 0.12 ± 0.07A 0.05 ± 0.01A 55.8 nd 100.0 nd nd
20.32 Isoamyl alcohols 59.78 ± 1.53A 27.49 ± 1.83B 54.0 8.91 ± 0.61C 85.1 0.27 ± 0.02D 99.5 0.09 ± 0.02E 99.9
25.53 1-hexanol 0.52 ± 0.18A 0.26 ± 0.06A 50.0 0.15 ± 0.02B 70.3 nd nd
25.75 2-Penten-4-ol 0.10 ± 0.01A 0.09 ± 0.02A 10.5 0.03 ± 0.003B 68.5 nd nd
26.01 Trans-3-Hexen-1-ol 0.02 ± 0.01AB 0.03 ± 0.001A − 56.0 0.01 ± 0.002B 50.7 nd nd
26.6 3-Ethoxy-1-propanol 0.14 ± 0.02A 0.12 ± 0.01A 11.6 0.08 ± 0.01B 42.0 nd nd
26.81 Cis-3-hexen-1-ol 0.006 ± 0.002A 0.01 ± 0.004A 56.8 0.01 ± 0.001A − 15.4 nd nd
29.21 1-Heptanol 0.09 ± 0.02A 0.05 ± 0.01B 47.5 0.02 ± 0.001C 80.5 nd nd
30.23 2-Ethyl-1-hexanol 0.05 ± 0.03A 0.01 ± 0.01A 73.4 0.01 ± 0.01A 83.0 nd nd
32.73 1-Octanol 3.00 ± 0.05A 1.47 ± 0.11B 51.0 0.13 ± 0.05C 95.8 0.06 ± 0.02C 97.9 nd
40.11 2-(2-Butoxyethoxy) ethanol 0.03 ± 0.001A 0.01 ± 0.003B 53.6 nd 100.0 nd nd
42.47 Benzyl alcohol 0.14 ± 0.03A 0.07 ± 0.001B 49.4 0.05 ± 0.01B 64.1 0.02 ± 0.01C 87.0 nd
43.53 Phenylethyl alcohol 52.71 ± 1.22A 29.36 ± 0.76B 44.0 22.97 ± 0.22C 56.4 5.10 ± 0.20D 91.2 1.86 ± 0.33E 96.8
44.54 1-Nonanol 0.03 ± 0.02A 0.02 ± 0.01A 43.3 nd 100.0
Sum of higher alcohols 123.52 ± 9.79A 60.29 ± 2.91B 49.5 32.45 ± 0.94C 72.80 5.46 ± 0.25D 95.6 1.95 ± .34E 98.4
Esters
14.15 Ethyl butyrate 0.15 ± 0.03A nd 100.0 nd 100.0 nd nd
17.22 Isoamyl acetate 6.14 ± 0.24A 0.47 ± 0.01B 92.3 0.047 ± 0.008C 99.2 nd nd
21.32 Ethyl hexanoate 0.61 ± 0.04A 0.06 ± 0.001B 90.3 0.014 ± 0.001C 97.6 nd nd
22.79 Hexyl acetate 0.16 ± 0.02A 0.02 ± 0.001B 89.3 nd 100.0 nd nd
25.48 Ethyl lactate 2.12 ± 0.36A 1.89 ± 1.04A 10.9 1.02 ± 0.06AB 51.8 0.08 ± 0.01B 96.3 nd
28.56 Ethyl octanoate 0.58 ± 0.35A 0.10 ± 0.004B 83.1 0.06 ± 0.01B 89.5 0.02 ± 0.004B 96.2 nd
31.59 Ethyl-3-hydroxybutyrate 0.17 ± 0.001A 0.13 ± 0.003B 23.7 0.07 ± 0.01C 57.5 nd nd
35.2 Ethyl decanoate 1.60 ± 0.10A 0.23 ± 0.01B 85.6 0.10 ± 0.01C 93.8 0.02 ± 0.001D 98.8 nd
36.48 Diethyl succinate 1.29 ± 0.13A 0.51 ± 0.03B 60.4 0.31 ± 0.01C 76.0 0.03 ± 0.002D 97.6 nd
40.26 Ethyl-4-hydroxybutanoate 0.36 ± 0.03A 0.17 ± 0.001B 53.5 0.11 ± 0.01C 69.7 nd nd
40.87 2-Phenylethyl acetate 1.35 ± 0.08A 0.31 ± 0.01B 77.0 0.13 ± 0.002C 90.3 0.006 ± 0.004D 99.6 nd
46.87 Diethyl malate 3.90 ± 0.18A 1.40 ± 0.10B 64.1 1.00 ± 0.05C 74.3 0.35 ± 0.05D 91.1 0.31 ± 0.007D 92.1
48.23 Ethyl-3-hydroxy-tridecanoate 0.12 ± 0.01A 0.01 ± 0.01B 92.7 nd 100.0 nd nd
49.17 Diethyl oxaloproprionate 0.22 ± 0.01A 0.06 ± 0.01B 72.6 0.04 ± 0.01C 79.9 0.008 ± 0.002D 96.3 0.02 ± 0.003E 90.4
52.06 Ethyl-5-oxotetrahydro-2-furancarboxylate 1.81 ± 0.04A 0.62 ± 0.11B 65.7 0.44 ± 0.01C 75.8 0.25 ± 0.04D 86.4 0.34 ± 0.04DE 81.2
56.13 Ethyl hydrogen succinate 7.93 ± 0.88A 2.16 ± 0.54B 72.7 1.33 ± 0.010C 83.2 1.23 ± 0.02C 84.4 2.00 ± 0.10BD 74.7
Sum of esters 28.51 ± 2.58A 8.14 ± 1.88B 71.5 4.69 ± 0.18C 83.6 1.99 ± 0.14D 93.0 2.67 ± 0.16E 90.6
Acids
29.97 Acetic acid 0.04 ± 0.02A 0.01 ± 0.005B 75.5 0.003 ± 0.002B 93.2 nd nd
33.23 Isobutyric acid 0.04 ± 0.01A nd 100.0 nd nd nd
36.36 Pentanoic acid 0.08 ± 0.02A 0.10 ± 0.02A − 23.6 0.069 ± 0.005A 16.5 nd nd
41.45 Hexanoic acid 14.56 ± 0.66A 6.29 ± 0.18B 56.8 4.54 ± 0.54C 68.8 0.36 ± 0.08C 97.5 0.31 ± 0.23C 97.9
47.12 Octanoic acid 6.27 ± 0.97A 2.05 ± 0.18B 67.3 1.53 ± 0.03C 75.6 1.52 ± 0.25C 75.8 1.04 ± 0.01DE 83.4
49.83 Nonanoic acid 0.27 ± 0.06A 0.07 ± 0.02B 74.4 0.03 ± 0.01C 87.2 nd 100.0 0.02 ± 0.02 94.3
49.94 5-Oxotetrahydro furan 2 carboxylic acid 0.83 ± 0.23A 0.23 ± 0.05B 72.9 0.15 ± 0.01C 81.7 0.10 ± 0.03D 87.9 0.10 ± 0.02D 88.1
52.3 Decanoic acid 8.95 ± 0.92A 1.52 ± 0.14B 83.0 0.80 ± 0.01C 91.1 0.54 ± 0.18D 94.0 0.44 ± 0.11D 95.1
53.84 9-decenoic acid 0.81 ± 0.04A 0.23 ± 0.04B 71.3 0.13 ± 0.01C 83.7 0.04 ± 0.03D 95.3 0.03 ± 0.02D 96.3
57.24 Dodecanoic acid 0.53 ± 0.04AB 0.58 ± 0.03A − 9.1 0.46 ± 0.25 AB 14.6 0.33 ± 0.02AB 39.1 0.42 ± 0.02AB 21.5
Sum of acids 32.41 ± 2.97A 11.08 ± 0.65A 60.5 7.71 ± 0.86C 73.60 2.88 ± 0.59D 91.1 2.49 ± 0.58D 92.3
Ketones
57.36 4-Sec-butoxy-2-butanone 1.79 ± 0.27A 0.36 ± 0.52B 79.6 0.06 ± 0.02C 96.4 nd nd
23.76 Acetoin 0.02 ± 0.01A 0.03 ± 0.00A − 25.2 0.02 ± 0.003A − 7.9 nd nd
50.36 Pentadecane-2,4-dione 0.63 ± 0.07A 0.41 ± 0.02B 34.5 0.44 ± 0.16B 30.0 0.05 ± 0.01C 92.0 0.04 ± 0.01D 93.0
Sum of ketones 2.44 ± 0.37A 0.50 ± 0.11B 67.1 0.52 ± 0.18B 78.44 0.05 ± 0.01C 97.9 0.04 ± 0.01C 98.19
Lactones
35.88 γ-Butyrolactone 1.21 ± 0.14A 1.12 ± 0.04A 7.4 0.72 ± 0.04B 40.4 0.12 ± 0.01C 90.1 0.04 ± 0.001D 97.0
47.01 Pantolactone 0.09 ± 0.03A 0.03 ± 0.02B 66.7 0.04 ± 0.001B 53.2 nd nd
45.25 5-Butyl-4-methyldihydro-2(3H)-furanone 0.12 ± 0.06A 0.05 ± 0.01B 57.6 0.03 ± 0.007B 75.3 0.03 ± 0.02B 78.3 0.05 ± 0.02B 58.3
46.15 2H-Pyran-2,6(3H)-dione 0.44 ± 0.09A 0.25 ± 0.05B 44.1 0.15 ± 0.006C 65.3 nd nd
55.23 2,3-Dihydrobenzofuran 0.23 ± 0.12A 0.13 ± 0.02A 45.9 0.03 ± 0.00C 85.7 0.01 ± 0.01D 96.9 nd
Sum of lactones 2.10 ± 0.44A 1.58 ± 0.16A 24.8 0.98 ± 0.05B 53.2 0.16 ± 0.04C 92.7 0.09 ± 0.02C 95.9
Phenol
50.84 2-Methoxy-4-vinylphenol 0.42 ± 0.003A 0.11 ± 0.01A 73.6 0.02 ± 0.001B 95.1 nd
Sulphur compounds
37.86 Methionol 0.26 ± 0.03A 0.18 ± 0.02A 32.8 0.04 ± 0.00B 84.9 Nd
Ret. time (min) Higher alcohols W5 (− 10.1) Loss (%) W6 (− 10.8) Loss (%) W7 (− 11.5) Loss (%) W8 (− 12.2) Loss (%)
14.12 1-Propanol nd nd nd nd
15.91 2-Methyl-1-propanol nd nd nd nd
17.88 1-Butanol nd nd nd nd
20.32 Isoamyl alcohols 0.07 ± 0.01E 99.9 0.14 ± 0.02F 99.8 0.01 ± 0.005G nd
25.53 1-hexanol nd nd nd nd
25.75 2-Penten-4-ol nd nd nd nd
26.01 Trans-3-Hexen-1-ol nd nd nd nd
26.6 3-Ethoxy-1-propanol nd nd nd nd
26.81 Cis-3-hexen-1-ol nd nd nd nd
29.21 1-Heptanol nd nd nd nd
30.23 2-Ethyl-1-hexanol nd nd nd nd
32.73 1-Octanol nd nd nd nd
40.11 2-(2-Butoxyethoxy) ethanol nd nd nd nd
42.47 Benzyl alcohol nd nd nd nd
43.53 Phenylethyl alcohol 0.86 ± 0.15F 98.5 1.21 ± 0.06FG 97.9 0.83 ± 0.05F 98.6 1.35 ± 0.08G 97.7
44.54 1-Nonanol
Sum of higher alcohols 0.93 ± .16F 99.2 1.35 ± 0.08G 98.9 0.84 ± 0.05F 99.3 1.35 ± 0.08G 98.9
Esters
14.15 Ethyl butyrate nd nd nd nd
17.22 Isoamyl acetate nd nd nd nd
21.32 Ethyl hexanoate nd nd nd nd
22.79 Hexyl acetate nd nd nd nd
25.48 Ethyl lactate nd nd nd nd
28.56 Ethyl octanoate nd nd nd nd
31.59 Ethyl-3-hydroxybutyrate nd nd nd nd
35.2 Ethyl decanoate nd nd nd nd
36.48 Diethyl succinate nd nd nd nd
40.26 Ethyl-4-hydroxybutanoate nd nd nd nd
40.87 2-Phenylethyl acetate nd nd nd nd
46.87 Diethyl malate 0.23 ± 0.03E 94.1 0.12 ± 0.001FG 96.9 0.14 ± 0.03F 96.4 0.07 ± 0.02G 98.2
48.23 Ethyl-3-hydroxy-tridecanoate nd 100.0 nd nd nd
49.17 Diethyl oxaloproprionate 0.02 ± 0.001E 88.3 nd nd nd
52.06 Ethyl-5-oxotetrahydro-2-furancarboxylate 0.32 ± 0.02E 82.4 0.08 ± 0.03F 95.8 0.13 ± 0.01G 92.7 0.04 ± 0.01H 97.8
56.13 Ethyl hydrogen succinate 1.82 ± 0.28B 77.1 0.94 ± 0.03C 88.1 0.46 ± 0.01C 94.2 0.19 ± 0.02CD 97.6
Sum of esters 2.39 ± 0.34E 91.6 1.14 ± 0.06F 96.0 0.73 ± 0.05G 97.4 0.30 ± 0.05H 99.0
Acids
29.97 Acetic acid nd nd nd nd
33.23 Isobutyric acid nd nd nd nd
36.36 Pentanoic acid nd nd nd nd
41.45 Hexanoic acid 0.24 ± 0.22C 98.4 0.24 ± 0.14C 98.3 0.11 ± 0.003C 99.3 0.21 ± 0.04C 98.6
47.12 Octanoic acid 1.33 ± 0.45 cd 78.7 0.87 ± 0.04E 86.2 0.21 ± 0.02F 96.6 0.19 ± 0.03F 97.0
49.83 Nonanoic acid nd nd nd nd
49.94 5-Oxotetrahydro furan 2 carboxylic acid 0.09 ± 0.01D 89.4 0.04 ± 0.01E 95.5 0.032 ± 0.01F 96.2 0.014 ± 0.01G 98.3
52.3 Decanoic acid 0.36 ± 0.08D 96.0 0.16 ± 0.004E 98.2 0.08 ± 0.02E 99.1 0.03 ± 0.001E 99.7
53.84 9-decenoic acid 0.04 ± 0.001D 94.7 0.02 ± 0.001D 97.8 nd nd
57.24 Dodecanoic acid 0.33 ± 0.12AB 39.1 0.39 ± 0.10AB 26.9 0.25 ± 0.01B 53.8 nd
Sum of acids 2.39 ± 0.87D 92.6 1.72 ± 0.29E 94.7 0.68 ± 0.06F 97.9 0.44 ± 0.08G 98.7
Ketones
57.36 4-Sec-butoxy-2-butanone nd nd nd nd
23.76 Acetoin nd nd nd nd
50.36 Pentadecane-2,4-dione 0.02 ± 0.01E 96.8 0.008 ± 0.011F 98.7 0.02 ± 0.003G 96.5 0.002 ± 0.001H 99.7
Sum of ketones 0.02 ± 0.01C 99.2 0.008 ± 0.01C 99.67 0.02 ± 0.003C 99.1 0.002 ± 0.001C 99.9
Lactones
35.88 γ-Butyrolactone 0.05 ± 0.02D 96.0 0.029 ± 0.027D 97.6 0.03 ± 0.01D 97.5 0.04 ± 0.01D 97.0
47.01 Pantolactone nd nd nd nd
45.25 5-Butyl-4-methyldihydro-2(3H)-furanone 0.04 ± 0.01B 70.0 nd nd nd
46.15 2H-Pyran-2,6(3H)-dione nd nd nd nd
55.23 2,3-Dihydrobenzofuran nd nd nd nd
Sum of lactones 0.08 ± 0.01C 96.0 0.03 ± 0.03DD 98.6 0.03 ± 0.01D 98.5 0.04 ± 0.01D 98.2

Different letters mean values significantly different (p < 0.05)

In Falaghina wine, higher alcohols represent the 64% of total volatile compounds and most of them are by-products of fermentation by yeasts. The C6 alcohols, cis-3-hexen-1-ol and trans-3-hexen-1-ol, showed comparable properties (i.e. hydrophobic constants log P = 1.61 and 2.03, respectively) (Rodriguez-Bencomo et al. 2011) and similar behaviour, remaining unchanged in W1 sample, together with 3-ethoxy-1-propanol. Other higher alcohols suffered a 50% loss or over, when increasing alcohol removal (W2–W8). Isoamyl alcohols and 2-phenylethanol, the main fermentation-derived compounds, were present in high amount; their losses were 54 and 44%, respectively, after the 1st cycle, and then decreased as alcohol reduction increased. As previously observed for dealcoholized (− 2/− 6.5 vol%) red wines (Liguori et al. 2013a; Lisanti et al. 2013), 2-phenylethanol remained almost unchanged because of its low volatility and high solubility in water (vapor pressure = 0.10 hPa at 20 °C; H value = 0.24 Pa m3 mol−1) and of the π–π interactions with polyphenols. In white wines, its concentration decreased during dealcoholization because of the low amount of the polyphenol compounds. In fact, in W1 and W2 samples, corresponding to − 2.7 and − 5.5 vol% dealcoholization levels, the loss of 2-phenylethanol was of 44 and 56%, respectively. Lower losses (up to 35%) were detected by Fedrizzi et al. (2014) for white wines Verdicchio and Soave (white grape cv) dealcoholized up to − 4 vol%.

With regards to esters, they have different origins: some compounds (i.e. ethyl hexanoate, ethyl octanoate, ethyl decanoate) have fermentative origin, while diethyl succinate and ethyl lactate can be also formed during storage by chemical esterification. Generally, esters have hydrophobic character, therefore their losses were expected during dealcoholization tests, in different amount depending on their physical and chemical properties. After the 1st cycle of dealcoholization, it was observed that they suffered a higher (73%) depletion than higher alcohols. This decrease of esters was in agreement with what reported by other authors in dealcoholized white (Fedrizzi et al. 2014) and red wines (Liguori et al. 2013a; Lisanti et al. 2013).

With regards to acids, the most abundant acids detected in Falanghina were decanoic and hexanoic acids. The fatty acids decreased by 60% in W1 sample with a progressive reduction in the further dealcoholized samples. This acid loss was similar to that found in red wines at a higher dealcoholization level (Liguori et al. 2013a; Lisanti et al. 2013), but higher than that for Verdicchio and Soave wines at dealcoholized levels of − 2 and − 3 vol% (Fedrizzi et al. 2014).

Three ketones, five lactones, one phenol and one sulphur compound were also identified in Falanghina wine (Table 1). They presented a consistent loss after the 3rd cycle corresponding to − 8.7 vol% of alcohol removal. These losses were in the same amount as those found by Fedrizzi et al. (2014), but higher than those found in red wines, where the π–π interactions with polyphenols and aromatic ring may be responsible of the higher retention (Rodriguez-Bencomo et al. 2011).

In summary, the volatile compounds progressively decreased during the dealcoholization, but to a different extent, depending on the chemical class to which they belong. In particular, the main losses were observed at the end of the second cycle (− 5.5 vol%): about 53% for lactones, 72% for higher alcohols and almost 84% for esters and phenols (Table 1). In the subsequent cycles, the volatiles continued to decrease up to an overall volatile loss of 96%.

Correlation of volatile compounds loss and Henry’s law constant

Both process conditions and physical properties influence the decrease of volatile compounds in wine during the dealcoholization process. In particular, when using distilled water as stripper, the volatile transfer is encouraged across the membrane due to the high difference in volatile concentration between the two sides of the membrane itself. Other effects such as interaction with wine matrix, concentration and affinity to the membrane should be considered. For the OD process (Hogan et al. 1998), the loss of volatiles may be evaluated considering that the amount of dissolved gas in the wine is proportional to its partial pressure in the gas phase. The proportionality factor is called the Henry’s law constant (Sander 2015).

For the main volatile compounds present in Falanghina wine, the loss of volatile compounds was here correlated to the Henry’s law constant (in water) (Table 2). For each class of volatile compounds, only the first two dealcoholization cycles (W1 and W2 samples) were considered, since these are the cycles where most of the loss occurs. Correlations were tested for some of the volatile compounds belonging to higher alcohols, esters and acids. The Henry’s law constants were those obtained from literature (Sander 2015). It was found that Henry’s law constant is well correlated with the loss of volatiles compounds as reported in Fig. 2a, b. The correlation for higher alcohols loss has R2 equals to 0.8115 and 0.7397, for the two levels of dealcoholization − 2.7 and − 5.5 vol%, respectively.

Table 2.

Henry’s law constant (H) of volatile compounds (Sander 2015) and loss of volatile compounds in W1 (− 2.7 vol%) and W2 (− 5.5 vol%) wine samples

H (mol/(m3*Pa)) log H W1 loss (%) W2 loss (%)
Higher alcohols
 1-Propanol 1.4 0.146 56.0 97.6
 2-Methyl-1-propanol 0.51 − 0.292 45.8 95.2
 3-Methyl-1-butanol 0.69 − 0.161 54.0 85.1
 1-Butanol 1.2 0.079 55.8 100.0
 2-Phenylethanol 0.24 − 0.620 44.0 56.0
 1-Hexanol 0.37 − 0.432 50.0 70.3
 1-Heptanol 0.38 − 0.420 47.5 80.5
 1-Octanol 0.65 − 0.187 51.0 95.8
Esters
 Isoamyl acetate 2.60 × 10−2 − 1.59 92.29 99.23
 Ethyl hexanoate 1.40 × 10−2 − 1.85 90.33 97.65
 Ethyl octanoate 1.03 × 10−2 − 1.99 83.11 89.46
 Ethyl decanoate 1.40 × 10−2 − 1.85 85.57 93.76
 Ethyl butyrate 2.90 × 10−2 − 1.54 100 100
 Hexyl acetate 1.40 × 10−2 − 1.85 89.3 100
Acids
 Acetic acid 8.20 0.91 75.5 93.2
 Hexanoic acid 1.20 × 10−1 − 0.92 56.8 68.8
 Octanoic acid 1.50 × 10−1 − 0.82 67.3 75.6
 Decanoic acid 6.5 0.81 83.2 91.5
 Isobutyric acid 5.60 × 101 1.75 100 100
 Nonanoic acid 3.8 0.58 74.4 87.2
Fig. 2.

Fig. 2

Correlation between H constant (log H) and volatile compounds for an alcohol reduction of a − 2.7 vol% (W1 sample) and b − 5.5 vol% (W2 sample)

Similar correlation coefficients were found for esters (R2 = 0.8021 and 0.5190 at − 2.7 and − 5.5 vol%, respectively). The observed loss of esters may be explained by the interaction of two mechanisms: their hydrophobic character and hence affinity to the membrane, and by low values of Henry’s law constants (Table 2).

Higher correlation coefficients were found for fatty acids: it was found higher (R2 = 0.9698) for the higher dealcoholization level (− 5.5 vol%) than that for the lower one (− 2.6 vol%) (R2 = 0.8443).

The correlation proposed here can be used to predict the losses of volatiles during dealcoholization process. Further studies will be performed to confirm the validity of this correlation also for other wines.

Wine quality parameters

Total acidity, pH, organic acids

Acidity is related to wine quality: low values create flat wines in terms of taste, while high values originate sour wines. In white wine, normal values of total acidity range between 3.3 and 6.9 tartaric acid g/L (Darias-Martín et al. 2003). The value of total acidity of Falanghina wine was 5.8 g/L and remains almost unchanged (p < 0.05) during the dealcoholization cycles (Table 3).

Table 3.

Total acidity, pH, colour, polyphenols amount, flavonols content and organic acids profile in Falanghina (W0) and dealcoholized wine samples (W1–W8) corresponding to each cycle

Wine sample Total acidity (tartaric acid g/L) pH Colour (nm) Polyphenols (mg GAE/L) Flavonols (Quercitin mg/L) Lactic acid (mg/L) Acetic acid (mg/L)
W0 5.81 ± 0.19A 3.22 ± 0.02A 0.1272 ± 0.008A 223.83 ± 10.51A 30.87 ± 0.26A 984.8 ± 17.4A 262.6 ± 18.4A
W1 5.91 ± 0.05A 3.20 ± 0.04A 0.1268 ± 0.006A 232.90 ± 22.70A 30.75 ± 0.91A 985.4 ± 14.4A 234.1 ± 21.4A
W2 5.94 ± 0.01A 3.18 ± 0.03A 0.1342 ± 0.001A 238.91 ± 22.50A 30.65 ± 0.66A 971.8 ± 5.7A 234.2 ± 51.5A
W3 6.07 ± 0.02A 3.26 ± 0.03A 0.1271 ± 0.007A 235.86 ± 19.21A 29.89 ± 0.68A 993.9 ± 107.6A 223.4 ± 22.0A
W4 6.02 ± 0.06A 3.17 ± 0.07A 0.1329 ± 0.008A 227.54 ± 23.59A 30.49 ± 0.52A 985.4 ± 107.7A 218.8 ± 19.0A
W5 6.04 ± 0.24A 3.18 ± 0.04A 0.1306 ± 0.003A 236.36 ± 4.95A 30.56 ± 0.19A 950.8 ± 48.6A 250.4 ± 4.3A
W6 6.17 ± 0.12A 3.18 ± 0.04A 0.1348 ± 0.007A 240.50 ± 3.06A 31.96 ± 0.40A 960.0 ± 27.5A 250.4 ± 2.0A
W7 6.05 ± 0.08A 3.22 ± 0.06A 0.1378 ± 0.004A 230.60 ± 5.90A 30.65 ± 0.83A 1021.5 ± 66.0A 243.3 ± 9.5A
W8 6.02 ± 0.13A 3.26 ± 0.05A 0.1396 ± 0.008A 236.29 ± 11.98A 32.01 ± 0.23A 1009.2 ± 49.4A 261.5 ± 10.1A
Wine sample Succinic acid (mg/L) Malic acid (mg/L) Tartaric acid (mg/L) Oxalic acid (mg/L) Ascorbic acid (mg/L) Citric acid (mg/L)
W0 143.5 ± 12.0A 1390.6 ± 37.4A 2335.0 ± 103.9A 347.0 ± 19.4A 23.7 ± 4.9A 362.5 ± 53.0A
W1 138.7 ± 31.0A 1442.8 ± 69.63A 2189.0 ± 22.2A 345.0 ± 7.99A 23.9 ± 3.0A 347.6 ± 17.3A
W2 150.1 ± 8.3A 1349.2 ± 12.9A 2182.4 ± 20.5A 350.0 9.1A 24.0 ± 5.4A 370.6 ± 77.6A
W3 156.7 ± 9.3A 1407.9 ± 10.8A 2282.6 ± 34.6A 358.7 ± 5.1A 23.7 ± 3.0A 330.5 ± 53.0A
W4 140.7 ± 43.3A 1333.8 ± 275.1A 2309.6 ± 147.9A 366.3 ± 8.7A 23.2 ± 6.4A 355.8 ± 46.9A
W5 166.9 ± 10.1A 1412.9 ± 27.9A 2331.2 ± 60.1A 358.2 ± 16.7A 21.9 ± 0.9A 369.0 ± 3.7A
W6 133.3 ± 16.3A 1382.1 ± 42.7A 2299.8 ± 123.0A 338.8 ± 1.7A 21.5 ± 4.4A 373.2 ± 47.8A
W7 118.9 ± 17.7A 1423.6 ± 15.6A 2304.0 ± 17.7A 364.4 ± 32.2A 21.9 ± 3.2A 350.5 ± 43.1A
W8 128.7 ± 14.9A 1513.7 ± 37.6A 2370.3 ± 35.4A 374.8 ± 19.1A 21.7 ± 15.2A 335.6 ± 65.4A

Different letters mean values significantly different (p < 0.05)

pH influences different characteristics of wine, some of which are related to odour, taste and quality. Generally, pH values are in the range of 2.9–4 and influence wine taste and its storage. White wines have lower values than red ones since they are also perceived as more acid. pH values corresponding to wine samples at different cycles were in the range 3.17–3.26 without significant differences (p < 0.05) among the dealcoholization cycles.

The main acids detected in Falanghina wine were tartaric, malic, and lactic acids in an amount of about 1000 ppm. Lower amounts of acetic, citric, succinic, oxalic and ascorbic acids were found (Table 3). The profile of organic acids agreed with data reported in literature on white wines (Taran et al. 2014).

Colour, total phenols and flavonols

Colour of white wine is mainly related to yellow–brown pigments which have a maximum of absorption at 420 nm. The values detected in the dealcoholized wine samples (W1–W8) ranged from 0.12 to 0.14 nm without significant differences (p < 0.05) (Table 3). Similarly, Gambuti et al. (2011) reported that the partial dealcoholization through OD did not change significantly the colour of red wines, contrary to what was observed in white wines which were dealcoholized by reverse osmosis (Bogianchini et al. 2011).

Wine is also an excellent source of various classes of polyphenols, which are responsible for the sensory characteristics (i.e. colour, astringency, bitterness), for the protective activity against oxidative processes related to cellular aging, as well as flavonols, important in the antioxidant potency and other biological activities (Makris et al. 2003). The content and composition of these compounds depend on various factors related to grape variety, climate, cultivation practices, etc. (Paixão et al. 2007) and, it is well known, white wines have lower amount than red ones (Psarra et al. 2002). In Falanghina wine, the total phenols and flavonols were 230 mg GAE/L and 30 mg quercetin/L, respectively, in accordance with other white wines reported in literature (Li et al. 2009). The alcohol loss does not lead to phenols precipitation, accordingly to other studies (Bogianchini et al. 2011; Liguori et al. 2010). Since their concentration remained almost unchanged (Table 3), the dealcoholized wine samples can be considered as a source of bioactive compounds.

Formulation of alcohol free wine-based beverage

In the present study, a preliminary attempt was performed for the formulation of an alcohol-free wine-based beverage. Original Falanghina wine (W0), the totally dealcoholized wine sample (W8) with an alcohol content of 0.3 vol% and the alcohol-free wine-based beverage (WB) were tasted by untrained panelists. The results of quality assessment are reported in Fig. 3. The samples did not show very comparable hedonic scores except for the appearance, which according to the colour parameter did not change during the process, as already shown. Significant differences (p < 0.05) in the other descriptors were observed among the samples. During tasting, W8 was perceived with a high acidity and low odour, sweetness and body with respect to W0 (original wine), resulting unbalanced in taste and overall unacceptable, with unpleasant aftertaste.

Fig. 3.

Fig. 3

Quality assessment of Falanghina wine (W0), total dealcoholized wine (W8) and alcohol free wine-based beverage (WB). Different letters mean values significantly different (p < 0.05), in the order W0–W8–WB

As also explained by Meillon et al. (2010), the absence of alcohol plays a vital role in wine perception since it determines texture and gustative sensations (i.e. body, viscosity and density), as well as interaction with other volatile compounds of wine. Often, alcohol reduced wines are associated with reduced sensory quality, in terms of problems with flavour imbalance and a lack of body; there is a reduction of heat sensation, fruity notes, persistency in the mouth, and overall complexity, while astringency, bitter and acid sensations increase (Meillon et al. 2010; Jordão et al. 2015).

Similar results were found by Lisanti et al. (2013), who observed no substantial differences between the original wine and the one with an alcohol content of − 2 vol%; on the contrary, by increasing the degree of processing (− 3, − 5 vol%) astringency, acidity and bitterness of wines were perceived.

To improve the sensory quality and the acceptability of the produced dealcoholized wine, various attempts were made to slightly modify taste and flavour. Different formulations were evaluated, and sufficient results were achieved by adding some compounds responsible for floral flavour, must and sodium carbonate solution. The beverage (WB) resulted in an improved overall acceptability with respect to W8 sample, but lower than the original wine. In particular, the odour attribute was positively perceived, although acid sensation remained; sweetness was increased and maintained lower than that of Falanghina wine, but not so far from having a balanced structure. Further improvements are still required in terms of body and aftertaste.

Conclusion

In this study the effect of dealcoholization on the properties of Falanghina white wine at various levels of dealcoholization was assessed. No significant changes in the main quality parameters (i.e. total acidity, pH, organic acids, colour, total phenols and flavonols) were detected during the dealcoholization. This confirms the preservation of antioxidant compounds with beneficial value present in wine. On the contrary, the volatile compounds content in wine decreased with increasing the alcohol removal reaching an overall loss of 96% in totally dealcoholized wine (0.3 vol%). The decrease of main volatile compounds (higher alcohols, esters and acids) was found to be well correlated with the Henry’s law constant. This correlation can be useful to determine the optimal level of dealcoholization which does not significantly affect the volatile composition, especially when partial dealcoholization is carried out. With regards to the free alcohol wine-based beverage, a relatively small size and limited sample group of respondents was used in this preliminary study. Nevertheless, the odour attribute was perceived positively although the acid sensation remained; the sweetness was increased but still perceived as lower than the level in Falanghina wine. Further study will be performed considering the statistical significance with a larger sample of panelists, and with more experienced wine consumers.

Footnotes

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