In this study, the G1-Entropy method was employed together with a response surface methodology (RSM) approach to establish a multi-index-based system for evaluating and optimizing the extraction of bioactive compounds from L. Seven chemical classes' contents were evaluated, including TPC (total phenolic content), TC (tannin content), DEY (dry extract yield), GA (gallic acid), CO (corilagin), CA (chebulagic acid), and EA (ellagic acid). The resultant extracts were also assessed for their antioxidant activity, as measured based on their DPPH radical, ABTS, and hydroxyl radical scavenging activity levels and their capacity to reduce iron ions. The inhibition of fluorescent AGEs generation was also assessed in BSA-Fru and MGO-BSA model assays to gauge the anti-glycation activity of these extracts. In total, a comprehensive score was derived based on 13 indices and corresponding weight values, with these scores then being used to determine the extraction conditions that yielded the best outcome. Through this strategy, the ideal extraction processing parameters were found to include an ethanol concentration of 56%, a liquid-solid ratio of 8 mL/g, and an extraction duration of 100 min. Using these optimized conditions yielded a predicted comprehensive score (Y) of 94.91, while the response value based on three independent variables from the validation experiments performed using these conditions was 92.03. These results highlight the promise of leveraging as a resource for use in the cosmetic, food, biochemical, and pharmaceutical industries.

中文翻译：

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基于G1熵法和响应面法的余甘子提取综合评价

在这项研究中，G1-熵方法与响应面法（RSM）方法结合使用，建立了一个基于多指标的系统，用于评估和优化从L中生物活性化合物的提取。评估了七种化学类别的含量，包括TPC（总酚含量）、TC（单宁含量）、DEY（干提取物得率）、GA（没食子酸）、CO（柯里拉金）、CA（车布拉酸）和EA（鞣花酸）。还评估了所得提取物的抗氧化活性，根据其 DPPH 自由基、ABTS 和羟自由基清除活性水平及其还原铁离子的能力进行测量。还在 BSA-Fru 和 MGO-BSA 模型测定中评估了荧光 AGE 生成的抑制，以测定这些提取物的抗糖化活性。总的来说，根据13个指标和相应的权重值得出综合得分，然后使用这些得分来确定产生最佳结果的提取条件。通过该策略，发现理想的提取工艺参数包括乙醇浓度56%、液固比8 mL/g、提取时间100 min。使用这些优化条件得到的预测综合得分 (Y) 为 94.91，而基于使用这些条件进行的验证实验的三个自变量的响应值为 92.03。这些结果凸显了作为化妆品、食品、生化和制药行业使用的资源的前景。