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Development of a Green Single Drop Microextraction Based on Deep Eutectic Solvent and HPLC-UV for Trace Residue Analysis of Three Frequent-Used Pesticides.
Pourhossein, Mehran; Khadem, Monireh; Omidi, Fariborz; Heravizadeh, Omid Reza; Shahtaheri, Seyed Jamaleddin.
Affiliation
  • Pourhossein M; Department of Occupational Health Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
  • Khadem M; Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Omidi F; Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Heravizadeh OR; Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan.
  • Shahtaheri SJ; Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Iran J Public Health ; 52(11): 2440-2449, 2023 Nov.
Article de En | MEDLINE | ID: mdl-38106827
ABSTRACT

Background:

A green sample preparation method named deep eutectic solvent-based single drop microextraction (DES-SDME) was developed and optimized for determining trace metribuzin, dichlorvos, and fenthion.

Methods:

Two hundred seventy experimental runs were performed, and the optimal values of the five influential factors in the DES-SDME method were determined. The design of the study was based on one factor at a time and the peak area of high-performance liquid chromatography was used as a benchmark for comparing analysis results.

Results:

After optimizing the effective factors, the linearity range, detection limit and quantification limit of the method were determined by drawing calibration curves for the studied analytes.

Conclusion:

The results indicated the success of the developed method in obtaining acceptable figures of merit as a green preparation method with accuracy and precision.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Iran J Public Health / Iran. j. public health (Print) / Iranian journal of public health (Print) Année: 2023 Type de document: Article Pays d'affiliation: Iran Pays de publication: Iran

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Iran J Public Health / Iran. j. public health (Print) / Iranian journal of public health (Print) Année: 2023 Type de document: Article Pays d'affiliation: Iran Pays de publication: Iran