scholarly journals Determination of 17 Organophosphate Pesticide Residues in Mango by Modified QuEChERS Extraction Method Using GC-NPD/GC-MS and Hazard Index Estimation in Lucknow, India

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96493 ◽  
Author(s):  
Ashutosh K. Srivastava ◽  
Satyajeet Rai ◽  
M. K. Srivastava ◽  
M. Lohani ◽  
M. K. R. Mudiam ◽  
...  
2021 ◽  
Author(s):  
Maria Jesus Martinez Bueno ◽  
Mar García Valverde ◽  
Maria del Mar Gomez-Ramos ◽  
Antonio Valverde ◽  
Marí­a Martínez Galera ◽  
...  

In this study, we aimed to validate and apply a quick and easy extraction method for the simultaneous determination of 27 pesticide residues at trace levels in agricultural samples (soil,...


2018 ◽  
Vol 16 (1) ◽  
pp. 81-93
Author(s):  
MDH Prodhan ◽  
SN Alam

Determination of organochlorine pesticide residues in shrimp is very important to ensure the consumer’s safety and to fulfill the importer’s demand. Therefore, a simple and efficient multiple organochlorine pesticide residues analytical method using quick, easy, cheap, effective, rugged and safe (QuEChERS) extraction technique and Gas Chromatography coupled with Electron Capture Detector (ECD) has been developed and validated for the determination of 19 organochlorine pesticides (α- BHC, δ- BHC, β- BHC, γ- BHC, Heptachlor, Aldrin, Heptachlor Epoxide, γ- Chlordane, α- Chlordane, α- Endosulfan, 4,4 DDE, Dieldrin, Endrin, 4,4 DDD, β- Endosulfan, 4,4 DDT, Endosulfan sulphate, Methoxychlor, and Endrin Ketone) in shrimp. The method was validated by evaluating the accuracy, precision, linearity, limit of detection (LOD) and limit of quantification (LOQ). The average recoveries of the selected pesticides ranged from 84% to 106% with RSDr ≤ 14% in four fortification levels of 0.05, 0.1, 0.2 and 0.3 mg kg-1. The linearity was ≥ 0.996 for all of the selected pesticides with matrix matched calibration standards. The LOD ranged from 0.003 to 0.009 mg kg-1 and the LOQ was 0.05 mg kg-1. This method was applied successfully for the residue analysis of 40 shrimp samples collected from different regions in Bangladesh.SAARC J. Agri., 16(1): 81-93 (2018)


2020 ◽  
Vol 1156 ◽  
pp. 122296 ◽  
Author(s):  
Mario Masís-Mora ◽  
Wilson Beita-Sandí ◽  
Javier Rodríguez-Yáñez ◽  
Carlos E. Rodríguez-Rodríguez

2010 ◽  
Vol 93 (4) ◽  
pp. 1169-1179 ◽  
Author(s):  
David Steiniger ◽  
Guiping Lu ◽  
Jessie Butler ◽  
Eric Phillips ◽  
Yolanda Fintschenko

Abstract The pesticide residues in exported and imported tea products must not exceed the maximum residue limits (MRLs) regulated by the import countries. Tea is a complex matrix that obfuscates the determination of pesticide residues. Many available methods for multiresidue pesticide analysis of tea are time-consuming and require many cleanup steps. The objective of this study was to develop a simple multiresidue method by using a modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction and ion-trap GC/MS/MS, which can identify, confirm, and quantify pesticides in complex matrixes. A tea product was homogenized with water, and the pesticides were extracted with acetonitrile containing 1 acetic acid. The extract was subjected to centrifugation, initial cleanup with dispersive SPE (dSPE), solvent exchange, and final cleanup with dSPE. Diethyl-d10-parathion and triphenyl phosphate were used as the internal standard and surrogate, respectively. The final extract was injected into an ITQ 700 gas chromatograph/mass spectrometer. Quantitation of individual pesticides was based on matrix-matched calibration curves with a correlation coefficient of >0.9930 for the 22 pesticides selected for the study. The recoveries of the 22 pesticides ranged from 78 to 115, except those for diazinon (130) and malathion (122), with an average RSD of 8.7. The LOD values of all of the pesticides, except for terbufos, were below the MRLs set by the European Union and Japan.


2016 ◽  
Vol 10 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Aline B. Bordin ◽  
Luciane Minetto ◽  
Iraja do Nascimento Filho ◽  
Lademir L. Beal ◽  
Sidnei Moura

Química Nova ◽  
2014 ◽  
Author(s):  
Danieli Daiani Bandeira ◽  
Juliana S. Munaretto ◽  
Tiele M. Rizzetti ◽  
Giovana Ferronato ◽  
Osmar D. Prestes ◽  
...  

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