Literature DB >> 31978818

Fluorescent peptide probes for organophosphorus pesticides detection.

Jianying Wang1, Jiaying Zhang1, Jing Wang1, Guozhen Fang1, Jifeng Liu2, Shuo Wang3.   

Abstract

Extensive use of organophosphorus pesticides (OPs) in crop protection has aroused worldwidely great concern about safety and the detection of OPs is of great significance to food safety and human health. In this work, peptides attached with tetraphenylethylene (TPE) molecule were synthesized to from an aggregation-induced emission fluorescent probe (TPE-Peptide) for the determination of OPs. The working mechanism was as follows: in presence of OPs, OPs would react with active site serine in the peptide sequence via covalent bond and adducts were formed between OPs and the peptides; once formed, the adducts accelerated the aggregation of peptides, thus inducing strong emission of TPE-Peptide probe. So the adducts formation and the enhanced emission of the TPE-Peptide probe were the key factors for the OPs' sensing. Herein, the adducts formed between OPs and TPE-Peptide probe, the aggregated peptide fibrils were characterized by fluorescence, mass spectrometry, transmission electron microscopy, dynamic light scattering, atomic force microscopy, circular dichroism spectra and confocal fluorescence microscopy etc. This TPE-Peptide probe displayed highly sensitive fluorescence response where OPs' concentrations ranged from 1 to 100 μM with the limit of detection 0.6 μM and also showed selectivity.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aggression induced emission; Fluorescent peptide probe; Organophosphorus pesticides

Mesh:

Substances:

Year:  2020        PMID: 31978818     DOI: 10.1016/j.jhazmat.2020.122074

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  3 in total

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Review 2.  Fluorescence-Based Sensing of Pesticides Using Supramolecular Chemistry.

Authors:  Mindy Levine
Journal:  Front Chem       Date:  2021-04-16       Impact factor: 5.221

Review 3.  Multiple Recognition-Based Sensor for Pesticide Residues.

Authors:  Jie Li; Keren Chen; Longjiao Zhu; Xiangyang Li; Changmo Li; Qiaoying Chang; Wentao Xu
Journal:  Front Chem       Date:  2022-03-21       Impact factor: 5.221

  3 in total

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