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Automatically High-Throughput Quantification by Paper Spray Ionization Mass Spectrometry for Multiple Pesticides in Wine

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Abstract

A rapid paper spray (PS) ionization tandem mass spectrometry analytical method has been developed to determine multiple pesticides in red wine. Without chromatographic separation, 36 pesticides in wine could be simultaneously determined less than 9 and 3 min, followed by off-line QuEChERS treatment and on-line paper adsorption treatment, respectively. Isotopically labeled internal standard (IS) was utilized to calibrate injection process, and linear ranges were one to three orders of magnitude for different pesticides. LODs were ranging between 0.1 and 100 ng/mL, and LOQs were ranging between 0.3 and 300 ng/mL. Method validation was used to evaluate the accuracy and precision, and the results for most analytes were at the range of 75–120%. All the data processes were automatically achieved by build-in instrument software. These methods were also compared with QuEChERS-DART-MS/MS and DART-MS/MS. The results demonstrated that PS-MS/MS was a rapid and simple method to quantify multiple pesticides in red wine.

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Acknowledgments

Authors wish to thank the support of Tianyang Guo through the CSC Scholarship Program from BUCT.

Authors are also grateful to R. Graham Cooks, Karen E. Yannell, Qiang Ma, Fan Pu, and Pingping Fang for helpful advice.

Funding

This study was funded by the National Key R&D Program of China (2016YFF0203703), the Key Program of a Synchronized Detection Research and Risk Assessment for Radionuclides in Foods of Beijing Municipal Science & Technology Commission (D161100002116002), and NSFC grant (51673012).

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Correspondence to Yiyang Dong.

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Tianyang Guo declares that she has no conflict of interest. Wei Yong declares that he has no conflict of interest. Yiyang Dong declares that he has no conflict of interest.

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Guo, T., Yong, W. & Dong, Y. Automatically High-Throughput Quantification by Paper Spray Ionization Mass Spectrometry for Multiple Pesticides in Wine. Food Anal. Methods 12, 1208–1217 (2019). https://doi.org/10.1007/s12161-019-01450-6

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  • DOI: https://doi.org/10.1007/s12161-019-01450-6

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