基因算法 - 逆向传播神经网络模型 - 和响应表面方法 - 基于优化从Cinnamomum cassia提取多糖的预测,隔离,净化和生物活性
Qicong Chen1, Wenqing Zhang2, Yali Wang1
1School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.
Foods (Basel, Switzerland)
|February 26, 2025
概括
超声波辅助的酶提取优化了Cinnamomum cassia树皮中的多糖产量. 纯化多糖体显示出对UVB暴露的皮肤细胞和氧化调节的安全性和潜力.
科学领域:
- 生物化学 生化学
- 自然产品化学 自然产品化学
- 过程优化 过程优化
背景情况:
- 肉 (Cinnamomum cassia) 树皮是生物活性化合物的来源.
- 多糖具有各种各样的生物活动.
- 有效的提取方法对于隔离有价值的化合物至关重要.
研究的目的:
- 为了优化超声波辅助酶提取 (UAEE) 的Cinnamomum cassia原始多糖化物 (CCCP).
- 为了比较响应表面方法 (RSM) 和遗传算法逆向传播 (GA-BP) 模型的预测准确度.
- 描述纯化多糖 (CCP) 并评估它们的生物效应.
主要方法:
- 阿联被用来提取多糖.
- 用RSM和GA-BP模型进行参数优化.
- DEAE-52 和 Sephadex G-100 染色学用于净化.
- 在体外测试中评估了安全性和生物活性 (UVB暴露,氧化抑制).
主要成果:
- 在预测准确度方面,GA-BP模型的表现优于RSM和BP模型.
- 最佳的UAEE参数:50.0°C,pH值5.248,3%的酶,70.153分钟.
- 最大化的CCCP收益率达到了28.35%.
- 获得了五种纯化酸性多糖 (CCP),证明了3mg/ml的安全性.
结论:
- 优化的UAEE显著提高了C. cassia树皮的多糖产量.
- 净化CCP是安全的,并显示出调节细胞对UVB和LPS诱导的氧化生产的反应的潜力.
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