Multi-response optimization and validation analysis in the detection of acetochlor and butachlor by HPLC based on D-optimal design methodology
文献类型: 外文期刊
作者: Wang, Yu 1 ; Yang, Yang 1 ; Zhang, Si 1 ; Chi, Chao 2 ; Wang, Bohan 1 ; Su, Junfeng 3 ;
作者机构: 1.Hebei Univ Architecture, Hebei Key Lab Water Qual Engn & Comprehens Utiliza, Zhangjiakou 075000, Peoples R China
2.Heilongjiang Acad Agr Sci, Harbin 150038, Peoples R China
3.Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, Xian 710055, Peoples R China
关键词: Acetochlor; Butachlor; HPLC; D -optimal design; Multi-response optimization
期刊名称:JOURNAL OF CHROMATOGRAPHY A ( 影响因子:4.0; 五年影响因子:3.6 )
ISSN: 0021-9673
年卷期: 2025 年 1754 卷
页码:
收录情况: SCI
摘要: Acetochlor and butachlor, widely used herbicides, pose environmental and health risks through water contamination. This study developed a high-performance liquid chromatography (HPLC) method for analyzing these compounds, employing a multi-response approach and D-optimal design. The D-optimal design reduced the number of required experiments from 36 to 14. The response model was analyzed by variance and residual diagnosis, and a multi-response optimization process was implemented to minimize the retention time and maximize the peak area of the two analytes. The optimal conditions were determined: a column temperature of 30 degrees C, a mobile phase composition of 80:0:20 (CH3OH:CH3CN:H2O) by volume, a flow rate of 0.9 mL min-1, an injection volume of 25 mu L, and a detection wavelength of 215 nm. The method achieved complete separation of acetochlor and butachlor within 10 min. The detection limits were 0.0018 mg L-1 for acetochlor and 0.01 mg L-1 for butachlor, with quantitation limits of 0.009 mg L-1 and 0.06 mg L-1, respectively. The linear ranges extended from 0.009 to 9 mg L-1 for acetochlor and 0.06 to 15 mg L-1 for butachlor, with a correlation coefficient (R2) of 0.9998, indicating excellent linearity. The recoveries ranged from 98.36 % to 103.13 % for acetochlor and 80.30 % to 107.74 % for butachlor, with the relative standard deviations both below 2 % (n = 6). This accurate, rapid, and sensitive method is well-suited for quantitative detection of these herbicides in water. It also serves as an invaluable reference for analyzing structurally similar chloroacetamide herbicides using HPLC.
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