AI Article Synopsis
- The use of pesticides in agriculture boosts crop production but leaves harmful residues in food and water, posing health risks.
- Nitrogen-doped carbon quantum dots (N-CQDs) are developed to detect the pesticide methiocarb in vegetables through a fluorescent paper sensor, with results validated against traditional fluorimetry methods.
- This portable and user-friendly detection method shows a wide linear range and high recovery rates, making it a practical tool for monitoring pesticide levels in food.
Article Abstract
The increasing use of pesticides in the agriculture fields strengthen the crop production to meet the needs of increasing population. The residues in water and food materials cause several health hazards. Herein, nitrogen-doped carbon quantum dot (N-CQDs) is designed for determination of methiocarb pesticide in vegetables by fluorescent paper sensor and compared the results with fluorimetry. The fluorescent paper-based detection is performed by recording the change in fluorescence of N-CQDs with introduction of methiocarb using smartphone and ImageJ software. Good linear range was acquired for analysis of methiocarb from 10 to 1000 μgL with a low detection limit (LOD) of 3.5 μgL in fluorimetry; and 700-10,000 μgL with a LOD of 500 μgL in fluorescent paper sensor. A better recovery from 92.0 to 95.4% illustrating the selectivity of both methods for analysis of methiocarb in vegetables. Thus, the advantage of using N-CQDs as a fluorescent sensor for analysis of methiocarb in vegetables is instrument free, portable and user-friendly.
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| http://dx.doi.org/10.1016/j.saa.2023.122824 | DOI Listing |
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Article Synopsis
- The use of pesticides in agriculture boosts crop production but leaves harmful residues in food and water, posing health risks.
- Nitrogen-doped carbon quantum dots (N-CQDs) are developed to detect the pesticide methiocarb in vegetables through a fluorescent paper sensor, with results validated against traditional fluorimetry methods.
- This portable and user-friendly detection method shows a wide linear range and high recovery rates, making it a practical tool for monitoring pesticide levels in food.
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