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Multiresidue analysis of 133 pesticides in corn using automatic QuEChERS with LC-MS/MS
Received:August 25, 2017  
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KeyWord:multiresidue analysis;automatic QuEChERS;corn;LC-MS/MS
Author NameAffiliationE-mail
WANG Ji-shi Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
HE Ze-ying Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
XU Ya-ping Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
WANG Lu Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
PENG Yi Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China  
LIU Xiao-wei Key Laboratory of Environmental Factor Control for Agro-product Safety, Ministry of Agriculture/Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin 300191, China xwliu2006@163.com 
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Abstract:
      In this work, a novel automatic QuEChERS methodology was developed to simplify QuEChERS procedures, while improving the sample preparation efficiency. This combination integrated QuEChERS procedures into a single run through the use of a vortex vibration-centrifuge device and a centrifuge filtration tube. To validate the efficiency of our automatic QuEChERS device, 133 pesticides in corn were analyzed using this automatic platform, combined with liquid chromatography tandem quadruple linear ion trap mass spectrometry. The results were subsequently compared with those obtained using the manual QuEChERS method. Various parameters were validated and compared, including recovery, linearity, repeatability and limits of quantification(LOQ). Satisfactory results, comparable to the results obtained using the manual QuEChERS method, were obtained. The average recoveries ranged between 70% and 120% for most pesticides, with associated relative standard deviations(RSDs) <20%(n=5), indicating satisfactory accuracy and repeatability. An LOQ of 2 μg·kg-1 was obtained for most pesticides present in the corn matrices, while the correlation coefficients were >0.990 within a linearity range of 2~500 μg·kg-1. Compared to the manual QuEChERS, this novel automatic QuEChERS device combination could significantly improve the sample preparation efficiency for the multiresidue analysis of pesticides. Actual corn samples were analyzed for method application, confirming the feasibility of the method.