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基于生物芯片银染信号放大的可视化生物条码免疫分析用于灵敏检测三唑磷

A visual bio-barcode immunoassay for sensitive detection of triazophos based on biochip silver staining signal amplification.

机构信息

Institute of Quality Standard and Testing Technology for Agro-Products, Key Laboratory of Agro-Product Quality and Safety, Chinese Academy of Agricultural Sciences, Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture, Beijing 100081, PR China.

Institute of Agro-Food Science and Technology Shandong Academy of Agricultural Sciences, Key Laboratory of Agro-Products Processing Technology of Shandong Province, Key Laboratory of Novel Food Resources Processing Ministry of Agriculture, Jinan 250100, PR China.

出版信息

Food Chem. 2021 Jun 15;347:129024. doi: 10.1016/j.foodchem.2021.129024. Epub 2021 Jan 9.


DOI:10.1016/j.foodchem.2021.129024
PMID:33461115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9648568/
Abstract

Herein, a novel visual method for detecting triazophos based on competitive bio-barcode immunoassay was described. The competitive immunoassay was established by gold nanoparticles (AuNPs), magnetic microparticle (MMPs) and triazophos, combined with biochip hybridization system to detect the residual of triazophos in water and apple. Because AuNPs carried many bio-barcodes, which hybridized with labeled DNA on the biochip, catalyzed signal amplification using silver staining was detected by grayscale values as well as the naked eye. Notably, the grayscale values decreases with increasing the concentrations of triazophos, and the color change weakened gradually. The detection range was in between 0.05 and 10 ng/mL and the minimum detection limit was set at 0.04 ng/mL. Percent recovery calculated from spiked water and apple samples ranged between 55.4 and 107.8% with relative standard deviations (RSDs) of 12.4-24.9%. It has therefore been shown that this protocol provides a new insight for rapid detection of small molecule pesticides in various matrices.

摘要

本文描述了一种基于竞争生物条码免疫测定法检测三唑磷的新的可视化方法。竞争免疫测定法是通过金纳米粒子 (AuNPs)、磁性微粒 (MMPs) 和三唑磷建立的,结合生物芯片杂交系统来检测水中和苹果中的三唑磷残留。由于 AuNPs 携带了许多生物条码,这些条码与生物芯片上标记的 DNA 杂交,通过银染进行信号放大,并通过灰度值以及肉眼进行检测。值得注意的是,灰度值随着三唑磷浓度的增加而降低,颜色变化逐渐减弱。检测范围在 0.05 至 10ng/mL 之间,最低检测限设定为 0.04ng/mL。从添加水和苹果样本中计算的回收率在 55.4%至 107.8%之间,相对标准偏差 (RSD) 为 12.4%至 24.9%。因此,该方案为在各种基质中快速检测小分子农药提供了新的思路。

相似文献

[1]
A visual bio-barcode immunoassay for sensitive detection of triazophos based on biochip silver staining signal amplification.

Food Chem. 2021-6-15

[2]
A simple and sensitive competitive bio-barcode immunoassay for triazophos based on multi-modified gold nanoparticles and fluorescent signal amplification.

Anal Chim Acta. 2017-10-30

[3]
Enhancing the Sensitivity of the Bio-barcode Immunoassay for Triazophos Detection Based on Nanoparticles and Droplet Digital Polymerase Chain Reaction.

J Agric Food Chem. 2019-11-12

[4]
A sensitive fluorometric bio-barcodes immunoassay for detection of triazophos residue in agricultural products and water samples by iterative cycles of DNA-RNA hybridization and dissociation of fluorophores by Ribonuclease H.

Sci Total Environ. 2020-2-11

[5]
A competitive immunoassay for detecting triazophos based on fluorescent catalytic hairpin self-assembly.

Mikrochim Acta. 2022-2-21

[6]
A sensitive bio-barcode immunoassay based on bimetallic Au@Pt nanozyme for detection of organophosphate pesticides in various agro-products.

Food Chem. 2021-11-15

[7]
A Competitive Bio-Barcode Amplification Immunoassay for Small Molecules Based on Nanoparticles.

Sci Rep. 2016-12-7

[8]
Fluorescence immunoassay for multiplex detection of organophosphate pesticides in agro-products based on signal amplification of gold nanoparticles and oligonucleotides.

Food Chem. 2020-4-15

[9]
Rapid detection of multiple organophosphorus pesticides (triazophos and parathion-methyl) residues in peach by SERS based on core-shell bimetallic Au@Ag NPs.

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2019-5

[10]
Enhanced competitive chemiluminescent enzyme immunoassay for the trace detection of insecticide triazophos.

J Food Sci. 2012-4-10

引用本文的文献

[1]
A review of recent advances in plant-pathogen detection systems.

Heliyon. 2022-11-28

本文引用的文献

[1]
Fluorescence immunoassay for multiplex detection of organophosphate pesticides in agro-products based on signal amplification of gold nanoparticles and oligonucleotides.

Food Chem. 2020-4-15

[2]
Determination of 400 pesticide residues in green tea leaves by UPLC-MS/MS and GC-MS/MS combined with QuEChERS extraction and mixed-mode SPE clean-up method.

Food Chem. 2020-4-28

[3]
A sensitive fluorometric bio-barcodes immunoassay for detection of triazophos residue in agricultural products and water samples by iterative cycles of DNA-RNA hybridization and dissociation of fluorophores by Ribonuclease H.

Sci Total Environ. 2020-2-11

[4]
Enhancing the Sensitivity of the Bio-barcode Immunoassay for Triazophos Detection Based on Nanoparticles and Droplet Digital Polymerase Chain Reaction.

J Agric Food Chem. 2019-11-12

[5]
Advances in detection of hazardous organophosphorus compounds using organophosphorus hydrolase based biosensors.

Crit Rev Toxicol. 2019-7-3

[6]
Colorimetric bio-barcode immunoassay for parathion based on amplification by using platinum nanoparticles acting as a nanozyme.

Mikrochim Acta. 2019-5-9

[7]
Rapid and Accurate Diagnosis of the Respiratory Disease Pertussis on a Point-of-Care Biochip.

EClinicalMedicine. 2019-2

[8]
Pesticide residues in Nepalese vegetables and potential health risks.

Environ Res. 2019-3-2

[9]
Ultrasensitive detection of T-2 toxin in food based on bio-barcode and rolling circle amplification.

Anal Chim Acta. 2018-9-8

[10]
A monitoring survey and dietary risk assessment for pesticide residues on peaches in China.

Regul Toxicol Pharmacol. 2018-6-14

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