Literature DB >> 29378133

Quantum Dots Applied to Methodology on Detection of Pesticide and Veterinary Drug Residues.

Jia-Wei Zhou1, Xue-Mei Zou1, Shang-Hong Song1, Guan-Hua Chen1.   

Abstract

The pesticide and veterinary drug residues brought by large-scale agricultural production have become one of the issues in the fields of food safety and environmental ecological security. It is necessary to develop the rapid, sensitive, qualitative and quantitative methodology for the detection of pesticide and veterinary drug residues. As one of the achievements of nanoscience, quantum dots (QDs) have been widely used in the detection of pesticide and veterinary drug residues. In these methodology studies, the used QD-signal styles include fluorescence, chemiluminescence, electrochemical luminescence, photoelectrochemistry, etc. QDs can also be assembled into sensors with different materials, such as QD-enzyme, QD-antibody, QD-aptamer, and QD-molecularly imprinted polymer sensors, etc. Plenty of study achievements in the field of detection of pesticide and veterinary drug residues have been obtained from the different combinations among these signals and sensors. They are summarized in this paper to provide a reference for the QD application in the detection of pesticide and veterinary drug residues.

Entities:  

Keywords:  biosensor; detection; pesticide and veterinary drug residues; quantum dot

Mesh:

Substances:

Year:  2018        PMID: 29378133     DOI: 10.1021/acs.jafc.7b05119

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  13 in total

1.  Electrochemical aptasensor based on Mo2C/Mo2N and gold nanoparticles for determination of chlorpyrifos.

Authors:  Zhenfeng Lin; Xin Liu; Yangzi Li; Changxiang Li; Liu Yang; Keke Ma; Zhenwei Zhang; Huayu Huang
Journal:  Mikrochim Acta       Date:  2021-04-23       Impact factor: 5.833

2.  Biomass-derived carbon dots as a sensitive and selective dual detection platform for fluoroquinolones and tetracyclines.

Authors:  Binila K Korah; Anu Rose Chacko; Sneha Mathew; Bony K John; Thomas Abraham; Beena Mathew
Journal:  Anal Bioanal Chem       Date:  2022-05-17       Impact factor: 4.142

Review 3.  Nanomaterial-based fluorescent biosensors for veterinary drug detection in foods.

Authors:  Xiaoqi Tao; Yuanyuan Peng; Juewen Liu
Journal:  J Food Drug Anal       Date:  2020-12-15       Impact factor: 6.157

Review 4.  Recent advances in quantum dots-based biosensors for antibiotics detection.

Authors:  Rui Ding; Yue Chen; Qiusu Wang; Zhengzhang Wu; Xing Zhang; Bingzhi Li; Lei Lin
Journal:  J Pharm Anal       Date:  2021-08-04

Review 5.  Recent Advances in the Recognition Elements of Sensors to Detect Pyrethroids in Food: A Review.

Authors:  Le Zhang; Mingqi Zhao; Ming Xiao; Moo-Hyeog Im; A M Abd El-Aty; Hua Shao; Yongxin She
Journal:  Biosensors (Basel)       Date:  2022-06-10

6.  Cytotoxicity of InP/ZnS Quantum Dots With Different Surface Functional Groups Toward Two Lung-Derived Cell Lines.

Authors:  Ting Chen; Li Li; Gaixia Xu; Xiaomei Wang; Jie Wang; Yajing Chen; Wenxiao Jiang; Zhiwen Yang; Guimiao Lin
Journal:  Front Pharmacol       Date:  2018-07-13       Impact factor: 5.810

Review 7.  Fluorescent Carbon Quantum Dots-Synthesis,Functionalization and Sensing Application in FoodAnalysis.

Authors:  Mingfei Pan; Xiaoqian Xie; Kaixin Liu; Jingying Yang; Liping Hong; Shuo Wang
Journal:  Nanomaterials (Basel)       Date:  2020-05-11       Impact factor: 5.076

8.  Ultrasensitive fluorescent detection of pesticides in real sample by using green carbon dots.

Authors:  Fatemeh Ashrafi Tafreshi; Zahra Fatahi; Seyedeh Fatemeh Ghasemi; Amirali Taherian; Neda Esfandiari
Journal:  PLoS One       Date:  2020-03-24       Impact factor: 3.240

Review 9.  Rapid Multi-Residue Detection Methods for Pesticides and Veterinary Drugs.

Authors:  Min Jia; Zhongbo E; Fei Zhai; Xin Bing
Journal:  Molecules       Date:  2020-08-07       Impact factor: 4.411

Review 10.  Synthesis of Magnetic Metal-Organic Frame Material and Its Application in Food Sample Preparation.

Authors:  Jingying Yang; Yabin Wang; Mingfei Pan; Xiaoqian Xie; Kaixin Liu; Liping Hong; Shuo Wang
Journal:  Foods       Date:  2020-11-06
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