Suppr超能文献

基于金和银纳米粒子阵列的比色聚集分析用于同时分析黄曲霉毒素、赭曲霉毒素和玉米赤霉烯酮的化学计量分析和纸基分析装置。

Colorimetric aggregation assay based on array of gold and silver nanoparticles for simultaneous analysis of aflatoxins, ochratoxin and zearalenone by using chemometric analysis and paper based analytical devices.

机构信息

Department of Mechanical Engineering, Shohadaye Hoveizeh University of Technology, Susangerd, 78986, Iran.

出版信息

Mikrochim Acta. 2020 Feb 13;187(3):167. doi: 10.1007/s00604-020-4147-5.

Abstract

A paper based sensor array is presented to discriminate and determine five mycotoxins classified into three categories, namely aflatoxins, ochratoxins and zearalenone. The gold and silver nanoparticles, synthesized by three different reducing or capping agents, were employed as sensing elements of the fabricated device. These nanoparticles were poured onto hydrophilic circular zones embedded on the hydrophobic substrate. The response of the assay is dependent on the aggregation of nanoparticles for interaction with mycotoxins. Due to aggregation, the gold and silver nanoparticles changed to purple and brown, respectively. Color changes provide unique colorimetric signatures conducive to recognizing the type of mycotoxin, identifying its chemical structure, and finding the fungi that produce it. The discrimination ability of the assay was investigated by both supervised (linear discriminate analysis) and unsupervised (principle component analysis and hierarchical cluster analysis) pattern recognition methods. The assay was applied to the point of need determination of aflatoxin B1, aflatoxin G1, aflatoxin M1, ochratoxin A and zearalenone with a detection limit of 2.7, 7.3, 2.1, 3.3 and 7.0 ng.mL, respectively. The fabricated device has high potential of simultaneously determining the mycotoxins in pistachio, wheat, coffee and milk with the help of partial least square method. The root mean square errors for prediction of PLS model were 5.7, 5.2, 1.5, 7.2 and 2.9 for aflatoxin B1, aflatoxin G1, aflatoxin M1, ochratoxin A and zearalenone, respectively. Graphical abstractSchematic representation of paper based colorimetric sensor array based on gold and silver nanoparticles for both qualitative and quantitative analysis of aflatoxins, ochratoxin and zearalenone.

摘要

提出了一种基于纸张的传感器阵列,用于区分和确定分为三类的五种霉菌毒素,即黄曲霉毒素、赭曲霉毒素和玉米赤霉烯酮。使用三种不同的还原或封端剂合成的金和银纳米粒子被用作所制造设备的传感元件。这些纳米粒子被倒入嵌入在疏水性基底上的亲水性圆形区域。该测定的响应取决于纳米粒子的聚集以与霉菌毒素相互作用。由于聚集,金和银纳米粒子分别变为紫色和棕色。颜色变化提供了独特的比色特征,有利于识别霉菌毒素的类型、鉴定其化学结构以及发现产生它的真菌。通过有监督(线性判别分析)和无监督(主成分分析和层次聚类分析)模式识别方法研究了测定的区分能力。该测定法应用于在需要时测定黄曲霉毒素 B1、黄曲霉毒素 G1、黄曲霉毒素 M1、赭曲霉毒素 A 和玉米赤霉烯酮,检测限分别为 2.7、7.3、2.1、3.3 和 7.0 ng.mL。借助偏最小二乘法,该制造的设备具有同时测定开心果、小麦、咖啡和牛奶中霉菌毒素的高潜力。PLS 模型预测的均方根误差分别为黄曲霉毒素 B1、黄曲霉毒素 G1、黄曲霉毒素 M1、赭曲霉毒素 A 和玉米赤霉烯酮的 5.7、5.2、1.5、7.2 和 2.9。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验