Literature DB >> 35190860

A competitive immunoassay for detecting triazophos based on fluorescent catalytic hairpin self-assembly.

Yuanshang Wang1,2, A M Abd El-Aty3,4,5, Ge Chen1,2, Huiyan Jia6, Xueyan Cui1,2, Lingyuan Xu1,2, Zhen Cao1,2, Yongxin She1,2, Fen Jin1,2, Yudan Zhang1,2, Ahmet Hacimuftuoglu5, Sangqiong Lamu7, Jing Wang1,2, LuFei Zheng1,2, Maojun Jin8,9,10, Bruce D Hammock11.   

Abstract

A rapid detection method is introduced for residual trace levels of triazophos in water and agricultural products using an immunoassay based on catalytic hairpin self-assembly (CHA). The gold nanoparticle (AuNPs) surface was modified with triazophos antibody and sulfhydryl bio-barcode, and an immune competition reaction system was established between triazophos and its ovalbumin-hapten (OVA-hapten). The bio-barcode served as a catalyst to continuously induce the CHA reaction to achieve the dual signal amplification. The method does not rely on the participation of enzymes, and the addition of fluorescent materials in the last step avoids interfering factors, such as a fluorescence burst. The emitted fluorescence was detected at 489/521 nm excitation/emission wavelengths. The detection range of the developed method was 0.01-50 ng/mL for triazophos, and the limit of detection (LOD) was 0.0048 ng/mL. The developed method correlates well with the results obtained by LC-MS/MS, with satisfactory recovery and sensitivity. In sum, the designed method is reliable and provides a new approach to detect pesticide residues rapidly and quantitatively.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Catalyzed hairpin self-assembly; Enzyme-free amplification; Fluorescence detection; Gold nanoparticles; Triazophos

Mesh:

Substances:

Year:  2022        PMID: 35190860     DOI: 10.1007/s00604-022-05217-5

Source DB:  PubMed          Journal:  Mikrochim Acta        ISSN: 0026-3672            Impact factor:   5.833


  21 in total

1.  Optimisation of FIA system for detection of organophosphorus and carbamate pesticides based on cholinesterase inhibition.

Authors:  L Pogacnik; M Franko
Journal:  Talanta       Date:  2001-05-30       Impact factor: 6.057

2.  Simultaneous determination of 79 pesticides in pigeonpea grains using GC-MS/MS and LC-MS/MS.

Authors:  Naik R Harischandra; M S Pallavi; M Bheemanna; K PavanKumar; V Chandra Sekhara Reddy; Nidoni R Udaykumar; M Paramasivam; Satish Yadav
Journal:  Food Chem       Date:  2021-01-06       Impact factor: 7.514

3.  Biobarcode assay for the oral anticoagulant acenocoumarol.

Authors:  Marta Broto; J Pablo Salvador; Roger Galve; M Pilar Marco
Journal:  Talanta       Date:  2017-09-06       Impact factor: 6.057

4.  Pesticide residues in Nepalese vegetables and potential health risks.

Authors:  Govinda Bhandari; Paul Zomer; Kishor Atreya; Hans G J Mol; Xiaomei Yang; Violette Geissen
Journal:  Environ Res       Date:  2019-03-02       Impact factor: 6.498

5.  Efficient immobilization of acetylcholinesterase onto amino functionalized carbon nanotubes for the fabrication of high sensitive organophosphorus pesticides biosensors.

Authors:  Guangxia Yu; Weixiang Wu; Qiang Zhao; Xiaoyun Wei; Qing Lu
Journal:  Biosens Bioelectron       Date:  2015-01-03       Impact factor: 10.618

6.  Enhanced Immunoassay Using a Rotating Paper Platform for Quantitative Determination of Low Abundance Protein Biomarkers.

Authors:  Abootaleb Sedighi; Ulrich J Krull
Journal:  Anal Chem       Date:  2019-04-05       Impact factor: 6.986

7.  Nanoparticle-based bio-bar codes for the ultrasensitive detection of proteins.

Authors:  Jwa-Min Nam; C Shad Thaxton; Chad A Mirkin
Journal:  Science       Date:  2003-09-26       Impact factor: 47.728

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