| Literature DB >> 26990739 |
Jie Liu1, Ling Tong2, Dongxiang Li2, Wenting Meng2, Wanyang Sun1, Yunli Zhao3, Zhiguo Yu4.
Abstract
In this study, two simple pretreatment methods were comprehensively evaluated for the determination of 135 pesticide residues in roots and rhizomes of Chinese herbal medicines (CHMs). The studied methodologies are (a) solid-phase extraction (SPE) and (b) Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS). For SPE, extraction solvents, SPE cartridges and types and volume of eluent were accessed and optimized. For QuEChERS, different versions, acetic acid concentration and dispersive solid-phase extraction (dSPE) sorbent materials were tested. SPE and QuEChERS were estimated in recovery range, the number of pesticides that were recovered ranging from 90% to 110% and expenses in Corydalis Rhizoma, Chuanxiong Rhizoma and Angelicae Sinensis Radix. QuEChERS method showed better performance than SPE. The method showed good linearity over the range assayed 0.9986-0.9999 (1-80ng/mL for 124 pesticides, 1-50ng/mL for 10 pesticides, 1-20ng/mL for satisfar). The matrix effect was compensated by matrix-based calibration curves with internal standard. The average recoveries of all pesticides were ranging from 70% to 120% at three levels of 10, 50 and 100ng/g with relative standard deviations less than 20%. The limits of quantification of the 135 pesticides in three matrices were 1-5ng/g, which were below the maximum residue levels (MRLs) established by the European Union. The verified QuEChERS method was successfully applied to the analysis of 65 actual samples from eight different types of roots and rhizomes of CHMs. Angelicae Sinensis Radix was the most susceptible to pesticides among these samples, and the most frequently detected pesticide was carbendazim with levels below MRLs. Metalaxyl, phorate, atrazine, diniconazole, coumaphos and paclobutrazol were also detected in some samples.Entities:
Keywords: Chinese herbal medicines; Pesticides; QuEChERS; Solid-phase extraction; UHPLC–MS/MS
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Year: 2016 PMID: 26990739 DOI: 10.1016/j.jchromb.2016.03.003
Source DB: PubMed Journal: J Chromatogr B Analyt Technol Biomed Life Sci ISSN: 1570-0232 Impact factor: 3.205