Rapid and Sensitive Detection of Wood Smoke Exposure Biomarkers Using Europium Fluorescent Nanoparticle Label/Lateral Flow Immunoassay
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2025/08/15
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Description:Exposure to wood smoke is associated with various adverse health problems. Biomonitoring of smoke exposure-associated biomarkers provides accurate measurements of personally absorbed doses. As a specific metabolite of benzene, the quantitative measurement of S-phenylmercapturic acid (S-PMA) plays a vital role in evaluating human exposure to wood smoke. In this study, we developed an efficient lateral flow immunoassay (LFIA) approach for accurately and rapidly measuring S-PMA levels. Europium chelate nanoparticles (EuNPs) conjugated with purified polyclonal sheep anti-S-PMA antibodies were employed as the fluorescent detection probe. This work is based on a competitive immunoassay, where the target S-PMA competes with the immobilized antigen on the test lines for the limited antigen-binding sites on EuNP-conjugated antibodies. Due to this competition, the fluorescent intensity of the EuNPs is inversely proportional to the concentration of the target S-PMA in the sample, enabling quantitative measurement. Owing to the large Stokes shift, superior fluorescent brightness, and saturation of the EuNPs, S-PMA levels can be measured with a limit of detection of 0.32 ng/mL, a detectable range of 0.10-30 ng/mL, and a linear detection range of 0.25-30 ng/mL under optimized conditions. Stability testing revealed that the LFIA strips can be stored at room temperature for up to one year while maintaining excellent detection performance for S-PMA. These results demonstrate that the EuNP-based LFIA is a promising tool for accurate preclinical and point-of-care evaluation of wood smoke exposure. A major advantage of this approach is its ability to accurately analyze smoke biomarkers at anticipated low concentrations. The sensor system allows low-cost, rapid, and on-site data collection and quantification of wood smoke exposure. [Description provided by NIOSH]
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ISSN:0039-9140
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Volume:291
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NIOSHTIC Number:nn:20070713
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Citation:Talanta 2025 Aug; 291:127760
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Contact Point Address:Dan Du, School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, 99164
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Email:annie.du@wsu.edu
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Federal Fiscal Year:2025
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Performing Organization:Washington State University
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Peer Reviewed:True
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Start Date:20230901
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Source Full Name:Talanta
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End Date:20270831
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Main Document Checksum:urn:sha-512:7fc781ac226adfabed89a65dee7c08173c699fb49cf3d976de44e8f407c0461ef5a02096db49ceb62a35cbcda27c0f76994f234352bb279604ddd45647a7b26e
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