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摘要:
A rapid,accurate,and sensitive analytical method,ultrasonication-assisted spraying based fine droplet formation-liquid phase microextraction-gas chromatography-mass spectrometry (UA-SFDF-LPME-GC-MS),was proposed for the determination of trace amounts of hydroxychloroquine sulfate in human serum,urine,and saliva samples.To determine the best extraction strategy,several liquid and solid phase extraction methods were investigated for their efficiencies in isolation and preconcentration of hydroxychloroquine sulfate from biological matrices.The UA-SFDF-LPME method was determined to be the best extraction method as it was operationally simple and provided accurate results.Variables such as the extraction solvent,spraying number,sodium hydroxide concentration and volume,sample vol-ume,mixing method,and mixing period were optimized for the proposed method using the one-variable-at-a-time approach.In addition,Tukey's method based on a post hoc comparison test was employed to evaluate the significant difference between the parameters inspected.After the optimiza-tion studies,the limit of detection (LOD) and limit of quantification (LOQ) were determined to be 0.7 and 2.4 μg/kg,respectively.The sensitivity of the GC-MS system based on the LOD was enhanced approxi-mately 440-fold when the UA-SFDF-LPME method was employed.Spiking experiments were also con-ducted for the human serum,urine,and saliva samples to determine the applicability and accuracy of the proposed method.Recoveries for the human serum,urine,and saliva samples were found to be in the ranges of 93.9%-101.7%,95.2%-105.0%,and 93.1%-102.3%,respectively.These results were satisfactory and indicated that the hydroxychloroquine sulfate level in the above biological samples could be analyzed using the proposed method.
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篇名 Accurate and sensitive determination of hydroxychloroquine sulfate used on COVID-19 patients in human urine,serum and saliva samples by GC-MS
来源期刊 药物分析学报(英文版) 学科
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年,卷(期) 2021,(3) 所属期刊栏目 Original Articles
研究方向 页码范围 278-283
页数 6页 分类号
字数 语种 英文
DOI
五维指标
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药物分析学报(英文)
双月刊
2095-1779
61-1484/R
大16开
西安市雁塔西路76号
1985
eng
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639
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