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优化Agaricus物种的生物活动:一个人工智能辅助的方法

Ayşenur Gürgen¹, Mustafa Sevindik²

¹Department of Industrial Engineering, Engineering and Natural Sciences Faculty, Osmaniye Korkut Ata University, 80000, Osmaniye, Turkey. aysenurgurgen@osmaniye.edu.tr.

Scientific reports

|July 2, 2025

概括

这项研究使用人工神经网络 (ANN) 和遗传算法 (GA) 优化了提取. 优化的Agaricus campestris提取物显示出卓越的抗氧化剂,抗胆化酶和抗增殖活性,富含化合物.

科学领域:

生物技术是生物技术.
药理学药理学是指药理学的学科.
食品科学食品科学食品科学

背景情况:

像Agaricus campestris和Agaricus bisporus这样的是生物活性化合物的来源.
优化提取条件对于最大限度地提高这些化合物的产量和有效性至关重要.
人工神经网络 (ANN) 和遗传算法 (GA) 为复杂的优化问题提供了强大的工具.

研究的目的:

确定Agaricus campestris和Agaricus bisporus的最佳提取参数,以最大限度地提高生物活动.
评估提取物的抗氧化剂,抗胆化酶和抗增殖性质.
确定有助于提取物生物活性的关键化合物.

主要方法:

进行了64次提取实验,不同的温度,时间和溶剂度.
使用人工神经网络 (ANN) 建模的提取数据和使用遗传算法 (GA) 优化参数.
评估了抗氧化能力 (TAS,TOS),抗胆酶活性,对A549肺癌细胞的抗增殖作用以及含量.

主要成果:

与A. bisporus提取物相比,A. campestris提取物具有较高的总抗氧化能力 (TAS) 和较低的总氧化剂水平 (TOS).
A.campestris提取物表现出更强的抗胆酶抑制作用.
ANN-GA优化提取物,特别是来自A.campestris,有效抑制了肺癌细胞的增殖,富含酸,原卡特丘酸和咖啡酸.

结论:

ANN-GA优化有效地提高了提取物中生物活性成分的度.
优化A.campestris提取物具有显著的抗氧化剂,抗胆酶和抗增殖性质.
这些优化的提取方法显示出生物技术应用在开发功能性食品和药品方面具有前景.

关键词:

亚加里克斯 (Agaricus) 是一个植物.具有抗氧化活性的抗氧化剂.它具有抗增殖效果的作用.人工神经网络的人工神经网络提取优化的提取优化遗传算法遗传算法遗传算法类化合物是一种类化合物.

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