A practical method for rapid screening and quantitative analysis of 130 pesticide residues in herbal medicines based on the Kovats retention index principle: an exemplary study using Panacis quinquefolii radix

Literature Information

Publication Date 2019-08-02
DOI 10.1039/C9AY01310E
Impact Factor 2.896
Authors

Xichuan Wei, Haizhu Zhang, Ming Niu, Dingkun Zhang


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Abstract

There are still some difficulties in accurately quantifying pesticide residues in herbal medicines. One difficulty is the rapid screening of the existing unknown pesticide species in samples. Another difficulty is the accurate identification of the target pesticide under the severe interference of complex components in herbs. In this study, we have developed a very novel and practical analytical method for 130 pesticide residues based on the retention index principle, and an exemplary study was performed using Panacis quinquefolii radix. This newly developed method has two significant advantages for pesticide residue analysis. One of the advantages is the ability to quickly pre-screen pesticides in samples without necessarily requiring a large amount of standard solution. This means that the efficiency of the pesticide analysis can be improved and the cost of testing can be greatly reduced. Another advantage is that this method can help researchers accurately identify target pesticides, which means that the accuracy of pesticide analysis can be improved. In summary, this study is a new utilization of the Kovats retention index, and this method will be a very promising tool for pesticide residue analysis in herbal medicines.

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Analytical Methods

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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