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使用RSM和ANN-GA方法优化从淡水鱼中微提取多重米达的超分子溶剂微提取,基于由重法评估的综合得分M

Qian Xu¹, Yanyan Gao¹, Wuying Yang¹

¹College of Food Science and Engineering, Jiangxi Agricultural University, 330045, Nanchang, Jiangxi, China.

|June 7, 2025

概括

一种新的旋转辅助超分子溶剂微提取 (VA-SUPRA-ME) 方法有效地从鱼中提取八种胺醇. 这种技术提供了更快,更绿色,多元件提取,以改善分析结果.

科学领域:

分析化学分析化学
环境科学环境科学
食品安全食品安全

背景情况:

胺醇 (BMZ) 是广泛使用的兽医药物.
它们在鱼类等食物矩阵中的存在需要敏感和高效的检测方法.
现有的提取方法可能是耗时和溶剂密集的.

研究的目的:

开发一种简单,高效和同时提取八个BMZ的淡水鱼的方法.
为了优化旋转辅助超分子溶剂微提取 (VA-SUPRA-ME) 的参数.
为了验证方法的准确性,精度和灵敏度.

主要方法:

螺旋辅助超分子溶剂微提取 (VA-SUPRA-ME) 使用特定的溶剂混合物 (n-decanol,四,水).
使用响应表面方法 (RSM) 和人工神经网络遗传算法 (ANN-GA) 优化提取参数 (溶剂体积,旋转时间,pH).
使用光二极管阵列检测 (HPLC-PDA) 的高性能液体染色学量化提取的西米达.

主要成果:

优化的提取条件:425μL SUPRAS,4.75分钟的旋转时间,pH值6.5.
优秀的线性与相关系数>0.9990.0.999的相关系数.
复苏率很高 (92.89%112.29%) 和相对标准偏差很低 (<6.4%).
低检测极限 (0.0050.010毫克千克-1) 和量化极限 (0.0170.033毫克千克-1).

结论:

已建立的VA-SUPRA-ME方法对从鱼类中同时提取多个胺醇是有效的.
该方法表现出速度,减少溶剂消耗和高提取效率的优势.
这种方法为在食品安全应用中进行本齐米达残留分析提供了强大的工具.

关键词:

人工神经网络-遗传算法西米达 (Benzimidazole) 是一种一种值重量方法的值重量方法.响应表面方法逻辑响应表面方法逻辑超分子溶剂微提取超分子溶剂微提取

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