2022
DOI: 10.3390/agronomy12102324
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Establishment of a QuEChERS-UPLC-MS/MS Method for Simultaneously Detecting Tolfenpyrad and Its Metabolites in Tea

Abstract: An analytical method simultaneously detecting pesticide and its metabolites, especially with higher toxicity, was urgently needed for supervision and safety evaluation of agricultural products. In the present study, a modified QuEChERS method coupled with a ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for simultaneous determination of tolfenpyrad (TFP) and its metabolites in tea matrices (fresh tea shoots, green tea, black tea, green tea infusion and black tea infusion) wa… Show more

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Cited by 7 publications
(1 citation statement)
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“…Sample pretreatment is critical for accurate quantification of the target analytes. The most commonly used sample pretreatment methods for pesticide residue analysis include solid-phase extraction (SPE), liquid–liquid extraction (LLE), gel permeation chromatography (GPC), solid-phase micro-extraction (SPME) and QuEChERS [ 15 , 16 , 17 , 18 ]. Since developed by Anastassiades et al in 2003 [ 19 ], QuEChERS (quick, easy, cheap, effective, rugged, and safe) concepts have been rapidly developed and extensively used for analytical applications of pesticide, clinical, veterinary drug, environmental pollutants, and so on [ 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Sample pretreatment is critical for accurate quantification of the target analytes. The most commonly used sample pretreatment methods for pesticide residue analysis include solid-phase extraction (SPE), liquid–liquid extraction (LLE), gel permeation chromatography (GPC), solid-phase micro-extraction (SPME) and QuEChERS [ 15 , 16 , 17 , 18 ]. Since developed by Anastassiades et al in 2003 [ 19 ], QuEChERS (quick, easy, cheap, effective, rugged, and safe) concepts have been rapidly developed and extensively used for analytical applications of pesticide, clinical, veterinary drug, environmental pollutants, and so on [ 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%