氢化物发生原子荧光分光光度法检测尿中砷的方法学探讨
The hydride generation atomic fluorescence spectrophotometry method for determination of urinary arsenic
摘要目的 探索氢化物发生原子荧光分光光度法(HG-AFS法)在尿砷检测中的应用,为定量分析尿砷提供更好、更新、更便捷的测定方法.方法 依据《研制生物样品检测检验方法指南》(WS/T 68-1996)和职业卫生标准制定指南第5部分:生物材料中化学物质的测定方法(GB/T 210.5-2008),在改进样品前处理的基础上,建立HG-AFS法检测尿中砷含量,并对HG-AFS法的标准曲线线性范围及线性关系、检出限、精密度、准确度、样品稳定性进行验证,比较HG-AFS法与标准WS/T 28-1996方法及标准《尿中砷的测定氢化物发生原子荧光法》(WS/T 474-2015)方法的实验结果.结果 HG-AFS法标准曲线的线性范围在0~ 100 μg/L,相关系数r=0.999 9,检出限为0.07 μg/L,精密度为1.96%~3.97%,回收率在95.1% ~ 105.0%.检测结果与标准WS/T 28-1996方法和标准WS/T 474-2015方法比较差异均无统计学意义(t=1.539、0.353,P均>0.05).结论 HG-AFS法具有检出限低、精密度高、准确度好,线性范围宽的优点.
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abstractsObjective To apply hydride generation atomic fluorescence spectrophotometry (HG-AFS method) in urinary arsenic detection,and to provide a better,newer and more convenient detection method for quantitative analysis of urinary arsenic.Methods According to the "Guide to Develop Biological Sample Inspection Method"(WS/T 68-1996) and "Guide for Establishing Occupational Health Standards-part 5:Determination Methods in Biological Materials" (GB/T 210.5-2008),HG-AFS method was established to detect arsenic content in urine after modification of the method for sample pretreatment,and to verify the linear range of standard curve and linearity,detection limit,precision,accuracy,stability of the sample,and to compare the experimental results of HG-AFS method with those of standard methods of WS/T 28-1996 and "Determination of Arsenic in Urine by Cyanide Generation Atomic Fluorescence Method" (WS/T 474-2015).Results The HG-AFS method linear range was from 0-100 μg/L,the correlation coefficient r =0.999 9,the detection limit was 0.07 μg/L,the precision was 1.96%-3.97%,and the recovery rate was 95.1%-105.0%.There was no statistical significance between HG-AFS method,the standard of WS/T 28-1996 or WS/T 474-2015 methods (t =1.539,0.353,all P > 0.05).Conclusion The new method is superior to the current detection method owing to its low detection limit,high precision,good accuracy,and wide linear range.
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