A ratiometric fluorescent sensing system for the selective and ultrasensitive detection of pesticide residues via the synergetic effects of copper nanoclusters and carbon quantum dots. (15th June 2022)
- Record Type:
- Journal Article
- Title:
- A ratiometric fluorescent sensing system for the selective and ultrasensitive detection of pesticide residues via the synergetic effects of copper nanoclusters and carbon quantum dots. (15th June 2022)
- Main Title:
- A ratiometric fluorescent sensing system for the selective and ultrasensitive detection of pesticide residues via the synergetic effects of copper nanoclusters and carbon quantum dots
- Authors:
- Chen, Ling
Lu, Jian
Luo, Mai
Yu, Hua
Chen, Xiaojia
Deng, Jiagang
Hou, Xiaotao
Hao, Erwei
Wei, Jinchao
Li, Peng - Abstract:
- Highlights: A novel ratiometric fluorescent sensing system have been successfully constructed. The detection limit of thiram and paraquat can be reached as low as 7.49 nM and 3.03 nM, respectively. The fast and visual detection of thiram and paraquat can be achieved via smartphone-based colorimetric analysis. Abstract: Agricultural products, such as foodstuffs and herbal medicines, may be contaminated by pesticides. Therefore, developing sensitive methods for pesticide detection are urgently needed for the assurance of food safety. In this study, a ratiometric fluorescent sensing system based on blue-emitted nitrogen-doped carbon quantum dots ( N -CQDs) and red-emitted copper nanoclusters (CuNCs) complex was fabricated for pesticide detection. The selective detection of thiram and paraquat, two typical widely used pesticides, can be easily realized by changing the solvent environment. The detection limit can be reached as low as 7.49 nM and 3.03 nM, respectively. A good linear correlation was found over the concentration range from 10 to 500 nM for thiram and 5 to 100 nM for paraquat. More interestingly, fast and visual detection of thiram and paraquat can be achieved via smartphone-based colorimetric analysis, which has provided an effective implementation for on-site monitoring of the levels of pesticide residues in food.
- Is Part Of:
- Food chemistry. Volume 379(2022)
- Journal:
- Food chemistry
- Issue:
- Volume 379(2022)
- Issue Display:
- Volume 379, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 379
- Issue:
- 2022
- Issue Sort Value:
- 2022-0379-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06-15
- Subjects:
- Fluorescent sensors -- Pesticide residues -- Visual detection -- Food safety
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2022.132139 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20657.xml