A magnetic-separation-based homogeneous immunosensor for the detection of deoxynivalenol coupled with a nano-affinity cleaning up for LC-MS/MS confirmation
Autor: | Lu-Fen Chen, Qinghua He, Wang-Pei Liu, Jin-Sheng Cheng, Jie-Biao Guo, Tai-long Wei, Xian-Quan Lan, Xiu-Zhen Qiu, Min Guo |
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Rok vydání: | 2021 |
Předmět: |
Agriculture (General)
Immunology Magnetic separation quantum dot reporter 01 natural sciences Epitope instrumental confirmation S1-972 0404 agricultural biotechnology nano-affinity cleaning up Lc ms ms Nano polycyclic compounds homogeneous immunosensor magnetic separation Chromatography Chemistry 010401 analytical chemistry technology industry and agriculture food and beverages 04 agricultural and veterinary sciences RC581-607 equipment and supplies 040401 food science 0104 chemical sciences Homogeneous graphene-based adsorbent Immunologic diseases. Allergy human activities Agronomy and Crop Science Food Science |
Zdroj: | Food and Agricultural Immunology, Vol 32, Iss 1, Pp 204-220 (2021) |
ISSN: | 1465-3443 0954-0105 |
DOI: | 10.1080/09540105.2021.1886254 |
Popis: | A magnetic separation-based immunosensor for deoxynivalenol assay, coupled with a nano-affinity cleaning up for instrumental confirmation, was developed. Maltose-binding protein with mimic epitope of DON was coupled to CdSe/ZnS quantum dot nanobeads for fluorescent reporter. Graphene oxide was linked with magnetic nanoparticles and protein G for immunomagnetic adsorbent. The magnetic separation of reporter could be inhibited by DON so the fluorescent remained in the solution indicates a good quantitative correlation to DON concentration. The DON separated by immune adsorbent can be cleaned up for instrumental confirmation. The optimized immunosensor showed results as follows: the linear range was in 0.3–3000 ng mL−1. The limits of detection (S/N = 3) were 0.50, 1.0, and 3.0 ng mL−1 in different backgrounds. The recoveries for DON-spiked samples range from 78.7% to 88.5%. Both results of UPLC-MS/MS based on affinity column purification and coupled with nano-affinity cleaning up showed a good agreement with the current immunosensor. |
Databáze: | OpenAIRE |
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