| Literature DB >> 36230125 |
Chae-Wan Baek1,2, Hyeon-Jun Chang1, Jeung-Hee Lee1.
Abstract
The presence of potentially hazardous substances in fruit wines poses a threat for human health. However, the management standards and specifications of hazardous substances contained within various types of fruit wines are currently insufficient. The aim of this study was to analyze hazardous substances (cyanide, acetaldehyde, and ethyl carbamate) and quality control characteristics (pH, titratable acidity, sulfur dioxide, and diacetyl) in seven different types of fruit wines. The pH levels and titratable acidity varied between fruit wine types. In all fruit wines, sulfur dioxide (SO2) was within acceptable ranges as per the Korean standard. Acetaldehyde content also varied between fruit wine types as well as based on the analytical method (titration or enzymatic analysis) employed. Cyanide was in the range of 0.02-0.35 mg/L. Diacetyl contents were in the range of 0.66-2.95 mg/L (p > 0.05). The contents of ethyl carbamate varied considerably, within the range of 5.22-259.69 μg/kg (p < 0.05). The analytical methods of diacetyl and ethyl carbamate were validated for specificity, linearity, sensitivity, accuracy, and precision. Therefore, the content of hazardous substances and quality control characteristics should be closely monitored and controlled to improve safety and quality of the traditional fruit wines.Entities:
Keywords: acetaldehyde; cyanide; diacetyl, ethyl carbamate; fruit wine; method validation; sulfur dioxide
Year: 2022 PMID: 36230125 PMCID: PMC9562190 DOI: 10.3390/foods11193047
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Alcohol content, pH level, and titratable acidity content in fruit wines.
| Wine Type | No. | Alcohol | pH | Titratable Acidity (g/L) (2) | |||
|---|---|---|---|---|---|---|---|
| pH | Ave ± SD | Titratable Acidity | Ave ± SD | ||||
| Traditional Korean | Maesil wine | 1 | 12.0 | 3.14 ± 0.01 A (3) | 3.12 ± 0.05 cd (4) | 4.68 ± 0.01 A | 5.35 ± 0.64 ab |
| 2 | 14.0 | 3.05 ± 0.01 B | 5.41 ± 0.08 B | ||||
| 3 | 14.0 | 3.15 ± 0.00 A | 5.95 ± 0.14 C | ||||
| Black raspberry wine | 1 | 12.0 | 3.05 ± 0.01 A | 3.01 ± 0.04 d | 7.90 ± 0.22 A | 6.68 ± 1.83 ab | |
| 2 | 15.0 | 3.03 ± 0.01 A | 4.58 ± 0.08 B | ||||
| 3 | 13.0 | 2.96 ± 0.01 B | 7.57 ± 0.20 A | ||||
| Peach wine | 1 | 12.0 | 3.81 ± 0.01 A | 3.76 ± 0.06 a | 6.74 ± 0.30 C | 7.98 ± 1.18 a | |
| 2 | 12.0 | 3.78 ± 0.01 B | 9.10 ± 0.04 A | ||||
| 3 | 7.0 | 3.70 ± 0.01 C | 8.09 ± 0.28 B | ||||
| Apple wine | 1 | 16.0 | 3.84 ± 0.01 A | 3.70 ± 0.12 ab | 2.01 ± 0.01 C | 4.70 ± 2.40 b | |
| 2 | 12.0 | 3.61 ± 0.01 C | 6.61 ± 0.04 A | ||||
| 3 | 12.0 | 3.65 ± 0.01 B | 5.49 ± 0.06 B | ||||
| Plum wine | 1 | 12.0 | 3.40 ± 0.01 | 3.61 ± 0.31 ab | 9.08 ± 0.12 * | 7.84 ± 1.76 a | |
| 2 | 12.0 | 3.83 ± 0.01 *(5) | 6.60 ± 0.08 | ||||
| Imported | Red grape wine | 1 | 14.0 | 3.50 ± 0.00 B | 3.52 ± 0.11 b | 6.76 ± 0.18 A | 6.12 ± 0.67 ab |
| 2 | 13.0 | 3.42 ± 0.00C | 6.17 ± 0.14 B | ||||
| 3 | 13.0 | 3.64 ± 0.01 A | 5.42 ± 0.14 C | ||||
| White grape wine | 1 | 14.0 | 3.25 ± 0.01 C | 3.31 ± 0.05 c | 6.65 ± 0.21A | 6.43 ± 0.21 ab | |
| 2 | 14.0 | 3.34 ± 0.01 A | 6.24 ± 0.15 B | ||||
| 3 | 13.0 | 3.33 ± 0.01 B | 6.42 ± 0.01 AB | ||||
Data are shown as the mean ± SD (n = 3). (1) Alcohol content (%) provided by the wine manufacturer. (2) Titratable acidity expressed as tartaric acid. (3) Means with different capital letters (A–C) in the same column are significantly different within the same type of wine by Duncan’s multiple range test at p < 0.05. (4) Means with different small letters (a–d) in the same columns are significantly different among the different type of wine by Duncan’s multiple range test at p < 0.05. *(5) Indicates a significant difference within the plum wines by Student’s t-test at p < 0.05.
Cyanide content in fruit wines.
| Wine Type | No. | Cyanide Content (mg/L) | ||
|---|---|---|---|---|
| Cyanide | Ave ± SD | |||
| Traditional Korean fruit wine | Maesil wine | 1 | 0.04 ± 0.01 B(1) | 0.06 ± 0.04 b(2) |
| 2 | 0.10 ± 0.02 A | |||
| 3 | 0.04 ± 0.01 B | |||
| Black raspberry wine | 1 | 0.03 ± 0.02 B | 0.08 ± 0.06 b | |
| 2 | 0.15 ± 0.04 A | |||
| 3 | 0.06 ± 0.02 B | |||
| Peach wine | 1 | 0.04 ± 0.02 A | 0.06 ± 0.03 b | |
| 2 | 0.09 ± 0.06 A | |||
| 3 | 0.07 ± 0.02 A | |||
| Apple wine | 1 | 0.12 ± 0.02 A | 0.13 ± 0.00 b | |
| 2 | 0.13 ± 0.04 A | |||
| 3 | 0.13 ± 0.02 A | |||
| Plum wine | 1 | 0.11 ± 0.05 NS(3) | 0.08 ± 0.04 b | |
| 2 | 0.05 ± 0.01 | |||
| Imported grape wine | Red grape wine | 1 | 0.54 ± 0.03 A | 0.35 ± 0.029 a |
| 2 | 0.50 ± 0.04 A | |||
| 3 | 0.02 ± 0.02 B | |||
| White grape wine | 1 | 0.03 ± 0.03 A | 0.02 ± 0.00 b | |
| 2 | 0.03 ± 0.01 A | |||
| 3 | 0.01 ± 0.02 A | |||
Data are shown as the mean ± SD (n = 3). (1) Means with different capital letters (A,B) in the same column are significantly different within the same type of wine by Duncan’s multiple range test at p < 0.05. (2) Means with different small letters (a,b) in the same columns are significantly different among the different types of wine by Duncan’s multiple range test at p < 0.05. (3) NS Indicates not significantly different within the plum wines by Student’s t-test at p < 0.05.
The contents of sulfur dioxide and acetaldehyde in fruit wines.
| Wine Type | No. | Sulfur Dioxide (mg/L) | Acetaldehyde (mg/L) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| TSO2 | Ave ± SD | FSO2 | Ave ± SD | Titration (1) | Ave ± SD | Enzymatic (2) | Ave ± SD | |||
| Traditional Korean | Maesil wine | 1 | 7.54 ± 0.20 | 7.54 ± 0.00 a(5) | - (3) | - | 24.30 ± 0.48 B(4) | 26.01 ± 11.65 ab, NS(6) | 23.55 ± 0.70 A | 17.40 ± 9.61 a6 |
| 2 | - | - | 38.42 ± 1.21 A | 22.34 ± 0.98 A | ||||||
| 3 | - | - | 15.31 ± 0.56 C | 6.32 ± 0.16 B | ||||||
| Black raspberry wine | 1 | - | - | - | - | 14.26 ± 0.73 C | 22.44 ± 10.55 ab,NS | 5.03 ± 0.28 C | 8.36 ± 4.48 a | |
| 2 | - | - | 18.72 ± 1.10 B | 6.60 ± 0.16 B | ||||||
| 3 | - | - | 34.35 ± 1.00 A | 13.45 ± 0.32 A | ||||||
| Peach wine | 1 | 97.88 ± 0.26 B | 148.86 ± 138.08 a | 0.17 ± 0.00 C | 8.89 ± 13.20 a | 42.48 ± 0.73 A | 19.80 ± 19.78 ab,NS | 71.88 ± 2.49 B | 64.91 ± 47.34 a | |
| 2 | 39.94 ± 0.63 C | 2.42 ± 0.10 B | 10.81 ± 0.95 B | 14.47 ± 1.00 C | ||||||
| 3 | 302.75 ± 3.10 A | 24.08 ± 0.68 A | 6.12 ± 0.45 C | 108.38 ± 0.83 A | ||||||
| Apple wine | 1 | - | 146.67 ± 84.70 a | - | 17.50 ± 0.00 a | 16.97 ± 1.66 B | 15.06 ± 11.28 b,NS | 5.12 ± 0.16 C | 54.13 ± 45.34 a | |
| 2 | 144.95 ± 3.49 NS(7) | - | 25.26 ± 0.28 A | 94.56 ± 2.05 A | ||||||
| 3 | 148.38 ± 1.97 | 17.50 ± 0.39 | 2.94 ± 0.28 C | 62.71 ± 3.53 B | ||||||
| Plum wine | 1 | 14.18 ± 0.70 | 65.88 ± 73.12 a | 0.51 ± 0.00 | 0.56 ± 0.08 a | 19.04 ± 0.55 | 46.86 ± 39.34 a,NS | 5.86 ± 0.00 $ | 32.76 ± 38.04 a | |
| 2 | 117.58 ± 1.03 $(7) | 0.62 ± 0.10 NS | 74.68 ± 1.00 $ | 59.66 ± 2.52 | ||||||
| Imported | Red grape wine | 1 | 2.70 ± 0.16 B | 7.81 ± 4.44 a | 2.42 ± 0.19 B | 2.66 ± 0.57 a | 22.55 ± 0.73 A | 20.80 ± 1.93 ab,*(6) | 3.92 ± 0.56 C | 10.77 ± 7.36 a |
| 2 | 10.69 ± 0.62 A | 2.25 ± 0.26 B | 21.11 ± 0.73 B | 18.55 ± 0.98 A | ||||||
| 3 | 10.04 ± 0.84 A | 3.32 ± 0.26 A | 18.72 ± 0.28 C | 9.84 ± 0.42 B | ||||||
| White grape wine | 1 | 121.33 ± 0.75 A | 99.84 ± 20.77 a | 14.18 ± 0.61 A | 6.19 ± 6.92 a | 4.67 ± 0.51 C | 8.97 ± 4.16 b | 45.12 ± 0.58 B | 44.69 ± 7.32 a,* | |
| 2 | 98.30 ± 0.64 B | 2.03 ± 0.45 B | 9.26 ± 0.13 B | 51.79 ± 1.43 A | ||||||
| 3 | 79.88 ± 0.48 C | 2.36 ± 0.29 B | 12.98 ± 0.83 A | 37.16 ± 1.58 C | ||||||
Data are shown as the mean ± SD (n = 3). (1) Titration method modified from Korean Food Standards Codex. (2) Analyzed by enzymatic assay kit. - (3): Not detected. (4) Means with different capital letters (A–C) in the same column are significantly different within the same type of wine by Duncan’s multiple range test at p < 0.05. (5) Means with different small letters (a,b) in the same columns are significantly different among the different type of wine by Duncan’s multiple range test at p < 0.05. *(6) Indicates a significant difference between titration method and enzymatic assay for acetaldehyde quantification by Student’s t-test at p < 0.05, and NS; not significantly different at p < 0.05. (7) $ Indicates a significant difference of TSO2 within the plum wines or the apple wines by Student’s t-test at p < 0.05, and NS; not significantly different at p < 0.05.
The contents of diacetyl and ethyl carbamate in fruit wines.
| Wine Type | No. | Diacetyl (mg/L) | Ethyl Carbamate (μg/kg) | |||
|---|---|---|---|---|---|---|
| Diacetyl | Ave ± SD | Ethyl Carbamate | Ave ± SD | |||
| Traditional Korean | Maesil wine | 1 | 0.72 ± 0.04 A(1) | 0.41 ± 0.27 a(2) | 109.37 ± 5.71 C | 259.69 ± 209.03 a |
| 2 | 0.27 ± 0.00 B | 498.39 ± 9.21 A | ||||
| 3 | 0.25 ± 0.00 B | 171.31 ± 6.22 B | ||||
| Black raspberry wine | 1 | 5.89 ± 0.27 A | 2.67 ± 2.79 a | 20.80 ± 3.07 B | 23.56 ± 3.64 b | |
| 2 | 0.87 ± 0.04 C | 27.69 ± 2.94 A | ||||
| 3 | 1.25 ± 0.12 B | 22.19 ± 0.26 B | ||||
| Peach wine | 1 | 2.68 ± 0.22 A | 1.41 ± 1.15 a | 7.45 ± 0.36 A | 6.06 ± 1.71 b | |
| 2 | 0.44 ± 0.03 C | 4.14 ± 0.65 B | ||||
| 3 | 1.11 ± 0.02 B | 6.58 ± 0.54 A | ||||
| Apple wine | 1 | 0.39 ± 0.03 C | 0.66 ± 0.34 a | 42.66 ± 3.73 A | 17.32 ± 21.99 b | |
| 2 | 1.03 ± 0.08 A | 6.06 ± 0.32 B | ||||
| 3 | 0.56 ± 0.01 B | 3.24 ± 0.31 B | ||||
| Plum wine | 1 | 2.19 ± 0.13 *(3) | 1.46 ± 1.03 a | 5.82 ± 0.35 * | 5.22 ± 0.85 b | |
| 2 | 0.73 ± 0.08 | 4.62 ± 0.09 | ||||
| Imported | Red grape wine | 1 | 1.89 ± 0.08 C | 2.95 ± 1.19 a | 8.64 ± 1.51 B | 11.35 ± 5.55 b |
| 2 | 2.72 ± 0.02 B | 17.73 ± 0.88 A | ||||
| 3 | 4.24 ± 0.44 A | 7.67 ± 0.69 B | ||||
| White grape wine | 1 | 0.25 ± 0.00 B | 0.31 ± 0.15 a | 21.34 ± 1.97 A | 16.24 ± 5.33 b | |
| 2 | 0.19 ± 0.02 C | 16.69 ± 1.24 B | ||||
| 3 | 0.48 ± 0.03 A | 10.70 ± 0.84 C | ||||
Data are shown as the mean ± SD (n = 3). (1) Means with different capital letters (A–C) in the same column are significantly different within the same type of wine by Duncan’s multiple range test at p < 0.05. (2) Means with different small letters (a,b) in the same columns are significantly different within the different type of wine by Duncan’s multiple range test at p < 0.05. (3) * Indicates a significant difference within the plum wines are significantly different by Student’s t-test at p < 0.05.
Figure 1HPLC chromatograms of diacetyl in fruit wines: (A) standards of 1 mg/L; (B) maesil wine; (C) black raspberry wine; (D) peach wine; (E) apple wine; (F) plum wine; (G) red grape wine; (H) white grape wine. Peak 1, diacetyl; Peak 2, 2,3-hexanedione (IS).
Figure 2GC-MS-SIM chromatogram (62 m/z) of ethyl carbamate in standards and fruit wines: (A) ethyl carbamate of 12.5–1600 μg/L; (B) mass spectrum of ethyl carbamate; (C) maesil wine; (D) black raspberry wine; (E) peach wine; (F) apple wine; (G) plum wine; (H) red grape wine; (I) white grape wine. IS: internal standard, butyl carbamate.
Comparison of accuracy and precision of acetaldehyde analysis between titration method and enzymatic assay.
| Wine Type | Titration Method | Enzymatic Assay | |||
|---|---|---|---|---|---|
| Acetaldehyde | Recovery | RSD (%) (1) | Recovery | RSD (%) | |
| Maesil wine (2) (No.2) | +10 mg/L | 106.87 ± 6.94 | 1.41 | 100.92 ± 5.78 | 1.92 |
| +50 mg/L | 107.35 ± 2.29 | 1.24 | 103.52 ± 3.26 | 2.27 | |
| +100 mg/L | 108.01 ± 1.20 | 0.82 | 100.93 ± 1.95 | 1.61 | |
| Apple wine (No.1) | +10 mg/L | 108.30 ± 4.54 | 1.26 | 101.86 ± 4.84 | 3.49 |
| +50 mg/L | 110.66 ± 2.40 | 1.49 | 99.26 ± 3.85 | 3.61 | |
| +100 mg/L | 108.61 ± 3.35 | 2.50 | 105.28 ± 5.71 | 5.24 | |
| White grape wine (No.1) | +10 mg/L | 105.33 ± 4.54 | 2.99 | 100.93 ± 5.78 | 1.08 |
| +50 mg/L | 107.34 ± 2.40 | 2.06 | 102.96 ± 2.25 | 1.18 | |
| +100 mg/L | 108.77 ± 2.05 | 1.81 | 106.67 ± 1.63 | 1.08 | |
(1) Relative standard deviation (RSD) was calculated from triplicate measurements. (2) Same wine was used for validation of accuracy and precision comparison between two analytical methods.
Method validation of diacetyl and ethyl carbamate analysis.
| Diacetyl | Ethyl Carbamate | |||||
|---|---|---|---|---|---|---|
| Instrument | HPLC-UV | GC-MS-SIM | ||||
| Sensitivity | LOD (1) | 0.0007 mg/L | 0.323 μg/L | |||
| LOQ (2) | 0.003 mg/L | 1.067 μg/L | ||||
| Linearity | Calibration curve | Y = 13.686x +1.3621 | Y = 0.0016x +0.004 | |||
| Range of linearity | 0.098–19.620 mg/L | 0.39–1600.00 μg/L | ||||
| Coefficient regression (R2) | 0.9983 | 0.9999 | ||||
| Diacetyl | Ethyl carbamate | |||||
| Recovery rate (%) | RSD (%) (3) | Recovery rate (%) | RSD (%) | |||
| Accuracy | Apple wine | Apple wine | ||||
| +1 mg/L | 105.51 ± 4.21 | 2.02 | +10 μg/L | 115.40 ± 10.32 | 1.01 | |
| +5 mg/L | 101.15 ± 4.94 | 4.06 | +50 μg/L | 113.03 ± 2.28 | 0.70 | |
| +10 mg/L | 109.18 ± 4.65 | 3.89 | +100 μg/L | 104.49 ± 2.13 | 0.88 | |
| White grape wine | White grape wine | |||||
| +1 mg/L | 99.24 ± 2.63 | 2.10 | +10 μg/L | 107.83 ± 3.95 | 4.54 | |
| +5 mg/L | 109.75 ± 4.10 | 3.43 | +50 μg/L | 111.79 ± 9.50 | 6.13 | |
| +10 mg/L | 108.66 ± 3.95 | 3.55 | +100 μg/L | 106.33 ± 5.81 | 1.22 | |
(1) Limit of detection. (2) Limit of quantification. (3) Relative standard deviation (RSD) was calculated from triplicate measurements.