Aegle marmelos is a medicinal herb that has a variety of biological constituents. “Catechins” are a class of phenolic compounds that have therapeutic value. The present study employs batch extraction with methanol as a solvent to extract the catechins from the pulp of Aegle marmelos fruit. Box–Behnken design of response surface methodology (RSM-BBD) is used to optimize the operational parameters impacting catechin extraction, such as solvent concentration, pH, and extraction time. Extraction of 96.5% of catechins was achieved at a methanol concentration of 80%, pH 6.24, and a soaking period of 44.7 hrs (desirability: 0.966). Additionally, MATLAB’s artificial neural network (ANN) was used to accurately estimate the extraction yield. The antimicrobial activity of the methanolic extract was tested against five different pathogens, including Streptococcus, Bacillus mega, Pseudomonas putida, Bacillus cerecus, and Staphylococcus aureus, using the agar diffusion method and the tube dilution method. Streptococcus, Bacillus cereus, and pseudomonas putida showed high activity.

中文翻译：

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从 Aegle marmelos 果肉中提取儿茶素：使用响应面方法和人工神经网络进行统计优化

Aegle marmelos是一种具有多种生物成分的药草。“儿茶素”是一类具有治疗价值的酚类化合物。本研究采用分批萃取法，以甲醇为溶剂，从金橘果肉中提取儿茶素。水果。Box-Behnken 响应面法设计 (RSM-BBD) 用于优化影响儿茶素提取的操作参数，例如溶剂浓度、pH 和提取时间。在 80% 的甲醇浓度、pH 6.24 和 44.7 小时的浸泡时间（期望值：0.966）下实现了 96.5% 的儿茶素提取。此外，MATLAB 的人工神经网络 (ANN) 用于准确估计提取率。使用琼脂扩散法和试管稀释法测试了甲醇提取物对五种不同病原体的抗菌活性，包括链球菌、巨型芽孢杆菌、恶臭假单胞菌、蜡状芽孢杆菌和金黄色葡萄球菌。链球菌、蜡状芽孢杆菌和恶臭假单胞菌表现出高活性。