125
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

The use of experimental design for optimisation of QuEChERS extraction of commonly used pesticides in Egyptian soil and drainage water and their determination by GC/MS

, ORCID Icon & ORCID Icon
Pages 4238-4249 | Received 14 Apr 2020, Accepted 02 Jun 2020, Published online: 23 Jun 2020
 

ABSTRACT

In this study, a Quick, Easy, Cheap, Effective, Rugged and Safe method (QuEChERS) method was optimised to extract 30 pesticides which are the most used in Egypt in soil and drainage water. Optimisation was performed by Experimental Design expert 7.1 to get better recoveries. The procedure combined with a developed GC-MS for determination of these pesticides. Total analysis time was 36 min with 1 ml injection volume. The limit of quantification (LOQ) was ranged between 4.59 ng/ml, and 15.91 ng/ml for all pesticides. Most standard deviations were in the range between 0.41 and 1.41 indicating satisfactory accuracy. The validated method was applied to Egyptian soil and drainage water samples brought from different places in Damietta city. Dimethoate, β-Endosulfan, DDD, Malathion, Vinclozolin, DDT, Endrin, Cyprodinil, Primiphos ethyl, Tetradifon, Parathion ethyl and Diazinon were detected and quantified. So risk assessment on human health should be considered especially for those pesticides.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed here.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.