Literature DB >> 35926736

Carbon nanomaterials for the detection of pesticide residues in food: A review.

Smriti Mishra1, Shivangi Mishra2, Shiv Singh Patel3, Sheelendra Pratap Singh4, Pradip Kumar5, Mohd Akram Khan6, Himani Awasthi7, Shiv Singh8.   

Abstract

In agricultural fields, pesticides are widely used, but their residual presence in the environment poses a threat to humans, animals, insects, and ecosystems. The overuse of pesticides for pest control, enhancement of crop yield, etc. leaves behind a significant residual amount in the environment. Various robust, reliable, and reusable methods using a wide class of composites have been developed for the monitoring and controlling of pesticides. Researchers have discovered that carbon nanomaterials have a wide range of characteristics such as high porosity, conductivity and easy electron transfer that can be successfully used to detect pesticide residues from food. This review emphasizes the role of carbon nanomaterials in the field of pesticide residue analysis in different food matrices. The carbon nanomaterials including carbon nanotubes, carbon dots, carbon nanofibers, graphene/graphene oxides, and activated carbon fibres are discussed in the review. In addition, the review examines future prospects in this research area to help improve detection techniques for pesticides analysis.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Carbon nanocomposite; Carbon nanomaterials; Environmental pollutants; Pesticide residues. food matrices

Mesh:

Substances:

Year:  2022        PMID: 35926736     DOI: 10.1016/j.envpol.2022.119804

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   9.988


  1 in total

1.  Enhanced laccase production by mutagenized Myrothecium verrucaria using corn stover as a carbon source and its potential in the degradation of 2-chlorophen.

Authors:  Ze-Chang Gou; Min-Jie Lu; Xiao-Yu Cui; Xi-Qing Wang; Mei-Yi Jiang; Ya-Shuo Wang; Zi-Qi Wang; Xiao-Xiao Yu; Shan-Shan Tang; Guang Chen; Ying-Jie Su
Journal:  Bioprocess Biosyst Eng       Date:  2022-08-06       Impact factor: 3.434

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.