A versatile nanozyme integrated colorimetric and photothermal lateral flow immunoassay for highly sensitive and reliable Aspergillus flavus detection

文献类型： 外文期刊

第一作者： Liang, Meijuan

作者： Liang, Meijuan;Cai, Xinfa;Gao, Yaoyao;Yan, Honglin;Fu, Jiayun;Tang, Xiaoqian;Zhang, Qi;Li, Peiwu;Liang, Meijuan;Cai, Xinfa;Gao, Yaoyao;Yan, Honglin;Fu, Jiayun;Tang, Xiaoqian;Zhang, Qi;Li, Peiwu;Liang, Meijuan;Cai, Xinfa;Gao, Yaoyao;Yan, Honglin;Fu, Jiayun;Tang, Xiaoqian;Zhang, Qi;Li, Peiwu;Liang, Meijuan;Zhang, Qi;Li, Peiwu;Liang, Meijuan;Zhang, Qi;Li, Peiwu;Zhang, Qi;Li, Peiwu

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关键词： Lateral flow immunoassay; Colorimetric; Photothermal; Nanozyme; Amplification

期刊名称：BIOSENSORS & BIOELECTRONICS （ 影响因子：12.545； 五年影响因子：10.722 ）

ISSN： 0956-5663

年卷期： 2022 年 213 卷

页码：

收录情况： SCI

摘要： Visual lateral flow immunoassays (LFA) have been recognized as the attractive point-of-care testing (POCT) for bioanalysis; however, they have been constrained by insufficient sensitivity and limited reliability. Herein, combining the catalytic sites of Cu nanoparticles with an inherent photothermal polydopamine (PDA) scaffold via a one-step process, a compact Cu-anchored PDA (PCu) was engineered as the efficient signal element for the multimodal LFA (mLFA). The robust PCu with peroxidase-mimics and photothermal properties, could simultaneously provide triple signal readouts for colorimetric, amplified colorimetric and photothermal detection toward Aspergillus flavus (A. flavus). Attractively, the multiple guaranteed detection of PCu-based mLFA enabled the accurate and sensitive detection of A. flavus mycelium biomass, down to 0.45 and 0.22 ng mL(-1), which was 19- and 40-fold improvements compared to traditional colorimetry. Besides, mLFA was successfully applied to actual samples with satisfactory recoveries from 89.9 to 109%, indicating the highly reliable analytical performance. This work paved a prospective way for the construction of efficient peroxidase-mimics and superior photothermal multifunctional nanomaterials, providing a potential versatile visual POCT platform for analytical events.

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