A versatile nanozyme integrated colorimetric and photothermal lateral flow immunoassay for highly sensitive and reliable Aspergillus flavus detection
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...
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Published in | Biosensors & bioelectronics Vol. 213; p. 114435 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier B.V
01.10.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0956-5663 1873-4235 |
DOI: | 10.1016/j.bios.2022.114435 |