化学
色调
荧光
色谱法
免疫分析
黄曲霉毒素
模式识别(心理学)
人工智能
光学
计算机科学
食品科学
抗体
生物
物理
免疫学
作者
Jing Wang,Chenxing Jiang,Jingrui Yuan,Lu Tong,Yang Wang,Dinglv Zhuo,Liang Huang,Weihong Ni,Jiafeng Zhang,Mei Huang,Daquan Li,Bin Su,Jun Hu
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-07-19
卷期号:94 (30): 10865-10873
被引量:35
标识
DOI:10.1021/acs.analchem.2c02020
摘要
Immunological detection of small molecules in a point-of-care (POC) format is of great significance yet remains challenging for accurate visual discrimination and quantitative analysis. Here, we report a novel hue recognition competitive fluorescent lateral flow immunoassay (HCLFIA) strip that allows both visual and quantitative detection of aflatoxin M1 (AFM1). The HCLFIA strip works on the basis of the ratiometric change of emission, arising from the overlap of fluorescence signals of two nanocomposites tagged with probe antibodies and coated antigens. A visually discernible orange-red-to-green fluorescence color change allows the naked eye semiquantitative readout of AFM1 around the threshold concentration (0.05 ng mL–1), yielding a visible detection limit of 0.02 ng mL–1. Moreover, using a custom smartphone-based device and color chart analysis, ultrasensitive quantitative detection of AFM1 can be achieved with a low limit of detection at 0.0012 ng mL–1, which is considerably better than those of the previously reported colorimetric and fluorescent strips. The accuracy performed in spiked milk samples ranged from 97.91 to 113.12% with a coefficient of variation below 7.8%, showing good consistency with the results from isotope dilution liquid chromatography–tandem mass spectrometry. Thanks to the unique hue recognition scheme, the HCLFIA strip holds great potential for POC detection of small molecules.
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