Journal article
Simultaneous detection of two herbicides in fruits and vegetables with nanoparticle-linked immunosorbent and lateral flow immunoassays
Food chemistry, Vol.399, pp.133955-341265
01/15/2023
PMID: 36041336
Abstract
•Peroxidase-like Pd@Pt nanoparticles are useful in two immunoassay formats.•Atrazine and acetochlor are quantifiable in juices, fruits, and vegetable samples.•Two nanoparticle-amplified immunoassays are validated using HPLC.
Herbicides atrazine and acetochlor are used in crop production. Because of environmental and health hazards with respective maximum contamination levels of 3 and 20 ng/mL, quantifying these herbicides is important when considering presence in foods and vegetables. We utilized two Pd@Pt nanoparticle-amplified immunoassays, a colorimetric Pd@Pt nanoparticle-linked immunosorbent assay (NLISA) and differential pulse voltammetry (DPV) dependent on catalytic activity of Pd@Pt in a dual-lateral flow immunoassay (dual-LFIA-DPV). We achieved overall recoveries of 88.5–114 % in juice, fruit, and vegetable samples for both immunoassays. The NLISA yielded limits of detection (LODs) of 0.59 and 0.31 µg/kg and the dual-LFIA-DPV 0.27 and 0.51 µg/kg for the two respective species. Results for both immunoassays were validated by high-performance liquid chromatography (HPLC), for all food and drink samples though LODs are compromised when configuring the HPLC for both species with the same chromatogram. We expect Pd@Pt-based immunoassays to prove useful in various fields.
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Details
- Title
- Simultaneous detection of two herbicides in fruits and vegetables with nanoparticle-linked immunosorbent and lateral flow immunoassays
- Creators
- Eunice Y. Kwon - Washington State UniversityXiaofan Ruan - Washington State UniversityFei Yu - Washington State UniversityYuehe Lin - Washington State UniversityDan Du - Washington State UniversityBernard J. Van Wie - Washington State University
- Publication Details
- Food chemistry, Vol.399, pp.133955-341265
- Academic Unit
- School of Mechanical and Materials Engineering
- Publisher
- Elsevier Ltd
- Identifiers
- 99901227639501842
- Language
- English
- Resource Type
- Journal article