Fluorescence Color Gradient Immunochromatographic Assay for Highly‐Sensitive, Quantitative, and Simultaneous Detection of Small‐Molecule Pollutants

ABSTRACT Rapid on‐site screening of small‐molecule pollutants in complex samples is essential but remains unachieved. In this study, we introduce a universal fluorescence color gradient immunochromatographic assay (FCGICA) utilizing dual‐signal superposition to enable ultra‐sensitive, wide‐range, and simultaneous quantitative detection of multiple small molecules. A red fluorescent nanomembrane (GTQD@Si) is synthesized by the continuous self‐assembly of multilayer quantum dots and a SiO 2 shell on a graphene oxide surface. This nanomembrane exhibits high stability in complex environments and provides superior fluorescence along with a larger reactive interface for sensing. The integration of GTQD@Si with green fluorescent microspheres embedded in the test line generates a broad fluorescence color gradient based on variations in target molecule concentrations, thereby significantly enhancing the sensitivity, stability, and quantitative range of the immunochromatographic assay (ICA). By directly reading the ratio of red and green image signals, the proposed FCGICA enables simultaneous, high‐sensitivity, and quantitative detection of three different types of small‐molecule pollutants including fumonisin B1, imidacloprid, and clenbuterol within 15 min, with a detection range improved by 2–3 orders of magnitude compared with traditional methods. Moreover, the powerful practicality of FCGICA has been verified through comprehensive testing on various real samples, demonstrating its great potential in on‐site detection of small molecules.

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Aggregate
Published
2025-04-03
DOI
https://doi.org/10.1002/agt2.70033
Citations
14
Primary Topic
Biosensors and Analytical Detection
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article
Field-Weighted Citation Impact
9.44

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article

Fluorescence Color Gradient Immunochromatographic Assay for Highly‐Sensitive, Quantitative, and Simultaneous Detection of Small‐Molecule Pollutants

Xiaosong Wu, Wenlong Bai, Chongwen Wang, Shuai Zheng et al.
14 citations
Aggregate
Biosensors and Analytical Detection
9.44
article

Fluorescence Color Gradient Immunochromatographic Assay for Highly‐Sensitive, Quantitative, and Simultaneous Detection of Small‐Molecule Pollutants

Xiaosong Wu, Wenlong Bai, Chongwen Wang, Shuai Zheng, Bing Gu, Shu Wang, Tao Zhang, Jiahuan Zhang, Changyue Xu
article en
14 citations

Abstract

ABSTRACT Rapid on‐site screening of small‐molecule pollutants in complex samples is essential but remains unachieved. In this study, we introduce a universal fluorescence color gradient immunochromatographic assay (FCGICA) utilizing dual‐signal superposition to enable ultra‐sensitive, wide‐range, and simultaneous quantitative detection of multiple small molecules. A red fluorescent nanomembrane (GTQD@Si) is synthesized by the continuous self‐assembly of multilayer quantum dots and a SiO 2 shell on a graphene oxide surface. This nanomembrane exhibits high stability in complex environments and provides superior fluorescence along with a larger reactive interface for sensing. The integration of GTQD@Si with green fluorescent microspheres embedded in the test line generates a broad fluorescence color gradient based on variations in target molecule concentrations, thereby significantly enhancing the sensitivity, stability, and quantitative range of the immunochromatographic assay (ICA). By directly reading the ratio of red and green image signals, the proposed FCGICA enables simultaneous, high‐sensitivity, and quantitative detection of three different types of small‐molecule pollutants including fumonisin B1, imidacloprid, and clenbuterol within 15 min, with a detection range improved by 2–3 orders of magnitude compared with traditional methods. Moreover, the powerful practicality of FCGICA has been verified through comprehensive testing on various real samples, demonstrating its great potential in on‐site detection of small molecules.

AggregateVol. 6(6)
Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 2%
Biosensors and Analytical Detection
9.44
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