Determination of Multi-pesticides Residues in Jasmine Flower and Its Scented Tea

For minor crops such as jasmine, the lack of pesticide registration and maximum residue limits are important issues that need to be solved in order to facilitate trading and ensure food safety. Meanwhile, reliable and quick analytical methods for multi-pesticide residues in these commodities are few...

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Bibliographic Details
Published in:Bulletin of environmental contamination and toxicology 2023-02, Vol.110 (2), p.48-48, Article 48
Main Authors: Zhou, Yilu, Wu, Yangliu, Zeng, Wenbo, An, Quanshun, Chen, Guanyu, Pan, Canping
Format: Article
Language:English
Subjects:
Agricultural production
Aquatic Pollution
Chromatography
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Extraction procedures
Flowers
Food safety
High performance liquid chromatography
Jasmine
Jasminum
Liquid chromatography
Mass spectrometry
Mass spectroscopy
Methods
Pesticide residues
Pesticide Residues - analysis
Pesticides
Pesticides - analysis
Pollution
Residues
Scientific imaging
Soil Science & Conservation
Solid Phase Extraction - methods
Solid phases
Tandem Mass Spectrometry - methods
Tea
Tea - chemistry
Toxicology
Waste Water Technology
Water Management
Water Pollution Control
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Summary:For minor crops such as jasmine, the lack of pesticide registration and maximum residue limits are important issues that need to be solved in order to facilitate trading and ensure food safety. Meanwhile, reliable and quick analytical methods for multi-pesticide residues in these commodities are few, but required by various stakeholders. In this study, a method for detecting twenty-five most frequently used pesticides in jasmine flower and its scented tea by multi-plug filtration cleanup and ultra-high-performance liquid chromatography-tandem mass spectrometry was developed and validated. The cleanup process was optimized and compared with the dispersive solid phase extraction procedure. The method was validated, showing that except for methomyl, recoveries of twenty-five pesticides were 64%–108%, with relative standard deviations (n = 5) of 0.33%–10%. The method was successfully applied to detect pesticide residues in marketed samples. The results showed that some flower and tea samples contained a combination of different pesticide residues.
ISSN:0007-4861
1432-0800
DOI:10.1007/s00128-023-03687-8