Smartphone-based paper microfluidic competitive immunoassay for the detection of α-amanitin from mushrooms
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Final Accepted Manuscript
Affiliation
Department of Chemistry and Biochemistry, The University of ArizonaDepartment of Biomedical Engineering, The University of Arizona
Issue Date
2022-08-06Keywords
amatoxincompetitive immunoassay
Mushroom toxin
Paper-based microfluidic chip
Smartphone microscope
α-AMA
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SpringerCitation
Liang, Y., Zhou, A., Bever, C. S., Cheng, L. W., & Yoon, J.-Y. (2022). Smartphone-based paper microfluidic competitive immunoassay for the detection of α-amanitin from mushrooms. Microchimica Acta, 189(9).Journal
Mikrochimica actaRights
© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
α-Amanitin is often considered the most poisonous mushroom toxin produced by various mushroom species, which are hard to identify from edible, non-toxic mushrooms. Conventional detection methods require expensive and bulky equipment or fail to meet high analytical sensitivity. We developed a smartphone-based fluorescence microscope platform to detect α-amanitin from dry mushroom tissues. Antibody-nanoparticle conjugates were captured by immobilized antigen-hapten conjugates while competing with the free analytes in the sample. Captured fluorescent nanoparticles were excited at 460 nm and imaged at 500 nm. The pixel numbers of such nanoparticles in the test zone were counted, showing a decreasing trend with increasing analyte concentration. The detection method exhibited a low detection limit (1 pg/mL), high specificity, and selectivity, allowing us to utilize a simple rinsing for toxin extraction and avoiding the need for high-speed centrifugation. In addition, this assay’s short response time and portable features enable field detection of α-amanitin from amanitin-producing mushrooms.Note
12 month embargo; published: 06 August 2022EISSN
1436-5073PubMed ID
35932340Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1007/s00604-022-05407-1
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