用于鉴别还原性物质的尺寸可调金银纳米棒:中国白酒的比色传感器阵列

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
Yunhui Li , Xuhui Xia , Xiaofang Liu , Jing Zhang , Zhengfan Shui , Huibo Luo , Changjun Hou , Yi Ma , Danqun Huo
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引用次数: 0

摘要

在中国饮食文化中,中国白酒占有不可或缺的地位。鉴于其重要的经济和营养价值,有必要探索快速有效的鉴别方法。本研究开发了一种用于鉴别白酒和还原性物质的比色传感器阵列。该传感器阵列通过在金纳米粒子(Au NPs)上沉积银和蚀刻银纳米棱镜(Ag NPRs)来控制纳米粒子的大小,从而进行鉴别。在白酒或还原剂的作用下,Ag+通过银镜反应被还原成Ag,并沉积在Au NPs表面。此外,白酒或还原剂还能抑制 H2O2 或 MnO2 纳米片(MnO2 NS)对 Ag NPRs 的刻蚀。比色传感器阵列成功地鉴别了 30 种还原性物质,分类准确率达 94.2%。随后,该方法被用于鉴别不同类型的白酒。16 个白酒样品被成功鉴别,无一错误。比色传感器阵列的新颖应用涉及操纵颗粒大小,展示了白酒鉴别的广阔前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Size-regulated gold and silver nanorods for discriminating reducing substances: A colorimetric sensor array for Chinese Baijiu
In Chinese food culture, Chinese Baijiu holds an indispensable position. Given its economic and nutritional significance, there is a need to explore rapid and efficient discrimination methods. In this work, a colorimetric sensor array was developed for discriminating Baijiu and reducing substances. This sensor array discriminated by controlling nanoparticle size through the deposition of silver on gold nanoparticles (Au NPs) and etching of silver nanoprism (Ag NPRs). In the present of Baijiu or reducing substance, Ag+ was reduced to Ag via a silver mirror reaction and deposited onto the surface of Au NPs. Moreover, the Baijiu or reducing substance could inhibit the etching of Ag NPRs by H2O2 or MnO2 nanosheets (MnO2 NS). The colorimetric sensor array successfully discriminated among 30 types of reducing substances with a classification accuracy of 94.2 %. This method was subsequently applied to discriminate different types of Baijiu. Sixteen Baijiu samples were successfully discriminated without error. The novel application of the colorimetric sensor array involved manipulating particle size, showcasing promising prospects for Baijiu discrimination.
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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