Multiple Recognition-Based Sensor for Pesticide Residues

Jie Li; Keren Chen; Longjiao Zhu; Xiangyang Li; Changmo Li; Qiaoying Chang; Wentao Xu

doi:10.3389/fchem.2022.856698

Multiple Recognition-Based Sensor for Pesticide Residues

Front Chem. 2022 Mar 21:10:856698. doi: 10.3389/fchem.2022.856698. eCollection 2022.

Authors

Jie Li^{1

2

3}, Keren Chen², Longjiao Zhu², Xiangyang Li³, Changmo Li¹, Qiaoying Chang², Wentao Xu²

Affiliations

¹ State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science & Technology, Tianjin, China.
² Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
³ Beijing Laboratory for Food Quality and Safety, Food Science and Engineering College, Beijing University of Agriculture, Beijing, China.

Abstract

The use of pesticides is gradually increasing to improve the yield and quality of crops. However, excessive pesticide use has led to a dramatic pollution increase in the environment and agricultural products, posing severe human health risks. Therefore, rapid, sensitive pesticide detection is essential. Various pesticides detection methods and products have been developed in recent years. This brief review summarized the point-of-care testing (POCT) detection of pesticides based on multiple recognition, including protein-, aptamer-, nanomaterial-, and macrocycle-based recognition. The review aimed to address the growing demands for regulating and destroying pesticides or other adverse agriculture-related applications in the real world.

Keywords: aptamer; macrocycle; nanomaterial; pesticide detection; protein.

Publication types

Review