Optimization of the Extraction of Bioactive Compounds from Cabernet Sauvignon Grape Pomace from Querétaro, Mexico, Using MSPD

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL
Tellez-Robles Daniela, López-Cortez Ma. del Socorro, Santoyo-Tepole Fortunata, Rosales-Martínez Patricia, García-Ochoa Felipe, Hernández-Botello Mayuric Teresa, Salgdo-Cruz María de la Paz
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Abstract

Red wine contains polyphenols which are extracted during the winemaking process. However, winemaking is not an extraction; therefore, the resulting byproducts still have a substantial polyphenol content. The aim of this study was to compare two methods for the extraction of phenolic compounds: maceration and matrix solid-phase dispersion (MSPD). Grape pomace (Vitis vinifera var. Cabernet Sauvignon) from a winery in Querétaro, Mexico was used. The optimal conditions for both methods were identified. Phenolic compounds and antioxidant activity were the response variables. A central composite design was used (Minitab 17) for the extraction by maceration. The maceration time (1, 4, 12, 20, and 24 h) and the ratio of ethanol (50 to 80%) acidified with 1% HCl were the two factors studied. For the MSPD extraction, sea sand was used as a dispersant, and a 22 factorial design was employed for the evaluation, with the elution volume and the ratio of sample/dispersant being the two factors analyzed. The optimal extraction method was MSPD with 96 mL (acidified ethanol) as the elution volume and a 1:2 ratio of sample/dispersant. Using these conditions, 14.01 ± 0.19 mMol TEAC/100 g db (Trolox equivalent of antioxidant capacity) of grape pomace was obtained, whereas the total phenolic content was 2836.73 ± 41.90 mg GAE/100 g db. These values are greater than those obtained by maceration. These conditions are close to those predicted by the model (analysis of variance (ANOVA) with a level of significance of 5% (p < 0.05) and a Tukey comparison test for determining significant differences in the comparison of results).
使用 MSPD 从墨西哥克雷塔罗赤霞珠葡萄渣中提取生物活性化合物的优化方法
红葡萄酒中含有在酿酒过程中提取的多酚。然而,酿酒并不是萃取,因此,酿酒副产品中仍含有大量多酚。本研究旨在比较两种酚类化合物提取方法:浸渍法和基质固相分散法(MSPD)。使用的葡萄渣(葡萄属变种赤霞珠)来自墨西哥克雷塔罗的一家酿酒厂。确定了两种方法的最佳条件。酚类化合物和抗氧化活性是响应变量。浸渍提取采用了中心复合设计(Minitab 17)。浸渍时间(1、4、12、20 和 24 小时)和用 1% HCl 酸化的乙醇(50% 至 80%)的比例是研究的两个因素。在 MSPD 提取中,使用海砂作为分散剂,并采用 22 因子设计进行评估,洗脱体积和样品/分散剂的比例是分析的两个因素。最佳萃取方法为 MSPD,洗脱体积为 96 mL(酸化乙醇),样品与分散剂的比例为 1:2。在这些条件下,得到了 14.01 ± 0.19 mMol TEAC/100 g db(三氧化碳抗氧化能力当量)的葡萄渣,而总酚含量为 2836.73 ± 41.90 mg GAE/100 g db。这些值都高于浸渍法得到的值。这些条件与模型预测的条件接近(方差分析,显著性水平为 5%(p < 0.05),Tukey 比较检验用于确定结果比较中的显著差异)。
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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