Evidence map›Paper›PMID 42839158›Full record

ArticleAnalytical and bioanalytical chemistry2026

Silver doping induced fluorescence enhancement of gold nanoclusters combined with machine learning for detection of quercetin.

Yan Su, Pengfei Gao, Guomei Zhang, Ying Zhou, Jianlin Wu, Wenting Liang, Lihong Shi, Shaomin Shuang, Yan Zhang

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yan SuSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China.
Pengfei GaoSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China. pfgao@sxu.edu.cn.
Guomei ZhangSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China.
Ying ZhouSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China.
Jianlin WuState Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macau SAR, China.
Wenting LiangInstitute of Environmental Science, Shanxi University, Taiyuan, PR China.
Lihong ShiSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China.
Shaomin ShuangSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China.
Yan ZhangSchool of Chemistry and Chemical Engineering, Shanxi University, Taiyuan, PR China. yanzhang@sxu.edu.cn.

Funding

the Central Government-guided Local Scientific and Technological Development YDZJSX2024D005the Fundamental Research Program of Shanxi Province 202303021221078the Fundamental Research Program of Shanxi Province 202503021211094the Natural Science Foundation of Shanxi Province 202503021211061the Research and Development Project of ICTFE-PKU xjgncl202303
6 · The paper itself

Abstract

A novel fluorescence sensing method of quercetin (Que) was constructed based on gold and silver bimetallic nanoclusters (L-Cys@Au-Ag NCs) that were prepared by sonochemical synthesis. In comparison with gold nanoclusters, the bimetallic nanoclusters produced enhanced fluorescence along with a blue-shift, which is achieved by Ag doping to engineer the aggregation states of the Au(I)-thiolate motifs in the NC shell. Since the fluorescence was quenched after the addition of Que, a rapid-response and highly selective method to detect Que has thereby been established using L-Cys@Au-Ag NCs. This analytical method exhibited good sensitivity in the range of 9.07-115 μM with a limit of detection (LOD) of 1.064 μM, and it was used for the quantitative analysis of quercetin in grape juice samples. Moreover, the accuracy and feasibility of the developed fluorescence sensing method were validated by combining machine learning and HPLC. This machine learning-assisted analytical method offered a promising tool for food safety monitoring and human health surveillance.

Indexed as

Ag dopingAggregation-induced emissionAu-Ag NCsMachine learningQuercetin

Identifiers

PMID42839158

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