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Cloud Point Extraction With Triton X-114 for Separation of Metsulfuron-Methyl, Chlorsulfuron, and Bensulfuron-Methyl From Water, Soil, and Rice and Analysis by High-Performance Liquid Chromatography.

Summary of "Cloud Point Extraction With Triton X-114 for Separation of Metsulfuron-Methyl, Chlorsulfuron, and Bensulfuron-Methyl From Water, Soil, and Rice and Analysis by High-Performance Liquid Chromatography."

A new and efficient analytic methodology based on cloud point extraction (CPE) was developed for determination of pesticide residues of metsulfuron-methyl (MSM), chlorsulfuron (CS), and bensulfuron-methyl (BSM) in water, soil, and rice grain by high-performance liquid chromatography (HPLC). Multiple experimental conditions that affected CPE efficiency-including surfactant type and concentration, equilibration temperature and duration, ionic strength, and solution pH were identified. CPE conditions were optimized as follows: 1.5% Triton X-114 (w/v), 12% Na(2)SO(4) (w/v) solution (pH 2.0), and heat-assisted at 50°C for 15 min. The calibration curves for all analytes were linear, ranging from 0.05 to 4.0 mg L(-1), with the correlation coefficients >0.9995 by HPLC-ultraviolet detector and were linear, ranging from 0.004 to 2.0 mg L(-1), with correlation coefficients >0.9983 by CPE-HPLC. The average recoveries at the three spiked levels using CPE ranged from 86.0% to 94.5% for water samples with relative SDs (RSDs) of 0.4% to approximately 7.8%; from 85.6% to 94.8% for soil samples with RSDs of 1.2% to approximately 9.5%; and from 81.9% to 91.3% for rice samples with RSDs of 1.7% to approximately 5.8%. The proposed CPE-HPLC method can be successfully used to analyze MSM, CS, and BSM residues from contaminated water, soil, and rice grain samples.

Affiliation

Jiangsu Key Laboratory of Pesticide Science, College of Science, Nanjing Agricultural University, Nanjing, 210095, China.

Journal Details

This article was published in the following journal.

Name: Archives of environmental contamination and toxicology
ISSN: 1432-0703
Pages:

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