High-throughput screening and quantification of pesticides in Lilii Bulbus using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry

Literature Information

Publication Date 2023-09-22
DOI 10.1039/D3AY01212C
Impact Factor 2.896
Authors

Guoyu Qiu


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Abstract

Lilii Bulbus is a notable flower in Chinese cuisine, and has also been used as a Chinese herbal medicine for over 2000 years. This work presents an analytical method for rapidly screening multiple pesticide residues in Lilii Bulbus using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS). For sample pre-treatment, the QuEChERS method is employed, and targeted MS/MS is adopted for data acquisition. Moreover, a database containing 515 pesticides with accurate mass database and a high-resolution fragment ion spectrum library is established in this work. In addition, the qualitative and quantitative results of the screening method are validated. The results show that within the linear concentration range of 2 to 200 μg L−1, for each pesticide, 89.3% of the pesticides exhibit linear correlation coefficients R2 equal to or exceeding 0.990. The limit of quantification for all pesticides is below 50 μg kg−1. With a recovery of 70% to 120% and RSD ≤ 20% as the satisfactory standards, 387 (75.0%), 411 (79.7%) and 420 (81.4%) pesticides meet the standards at the three addition levels of 10 μg kg−1, 20 μg kg−1, and 100 μg kg−1, respectively. By utilizing the proposed method, pesticide residues in 100 samples are investigated, providing scientific data to ensure the safety of pesticide residues and demonstrating the general applicability of the method for routine monitoring of pesticide residues in Lilii Bulbus.

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Analytical Methods
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Analytical Methods welcomes early applications of new analytical and bioanalytical methods and technology demonstrating the potential for societal impact. We require that methods and technology reported in the journal are sufficiently innovative, robust, accurate, and compared to other available methods for the intended application. Developments with interdisciplinary approaches are particularly welcome. Systems should be proven with suitably complex and analytically challenging samples. We encourage developments within, but not limited to, the following technologies and applications: global health, point-of-care and molecular diagnostics biosensors and bioengineering drug development and pharmaceutical analysis applied microfluidics and nanotechnology omics studies, such as proteomics, metabolomics or glycomics environmental, agricultural and food science neuroscience biochemical and clinical analysis forensic analysis industrial process and method development

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