氢化物发生-非色散原子荧光光谱法测定粉饼化妆品中Pb,As和Hg含量OA北大核心CSTPCD
Determination of Pb,As and Hg contents in powder cosmetics by hydride generation-non-dispersive atomic fluorescence spectrometry
建立并优化了氢化物发生-非色散原子荧光光谱法(HG-NDAFS)测定10种粉饼化妆品中铅(Pb),砷(As)和汞(Hg)的含量.确定了较佳载气流速为400 mL/min,屏蔽气流速为800 mL/min.优化了负高压和灯电流,确定了原子化器高度为8 mm.优化还原剂体系时,选择了质量分数1.5%KBH4溶液.载流选择2.4 mol/L HCl.结果显示,Pb,As,Hg的加标回收率分别为83.44%~90.32%,83.22%~86.59%,81.43%~89.94%,加标回收率良好.10种粉饼中共检出2种粉饼中含有Pb(含量0.48和0.27 mg/kg),1种粉饼中含有As(含量0.62 mg/kg),1种粉饼中含有Hg(含量0.11 mg/kg).10种粉饼中的Pb,As,Hg含量均未超标.本研究建立的HG-NDAFS测定粉饼化妆品中Pb,As和Hg含量的方法准确度高,可用于粉饼化妆品中Pb,As和Hg含量的检测.
This study established and optimized a method for the determination of lead(Pb),arsenic(As)and mercury(Hg)in 10 powder cosmetics using hydride generation-non-dispersive atomic fluorescence spectrometry(HG-NDAFS).This study determines that the optimal carrier gas flow rate is 400 mL/min and the optimal shielding gas flow rate is 800 mL/min.The negative high voltage and lamp current are optimized,and the atomizer height is determined to be 8 mm.When optimizing the reductant system,1.5%is selected as the best KBH4 solution.The carrying current is 2.4 mol/L HCl.The standard recovery rates of Pb,As,and Hg are 83.44%-90.32%,83.22%-86.59%,81.43%-89.94%respectively.The standard recovery rates are good.Among the 10 types of pressed powder,2 types of pressed powder are detected to contain Pb(0.48 and 0.27 mg/kg),1 type of pressed powder contained As(0.62 mg/kg),and 1 type of pressed powder contained Hg(0.11 mg/kg).The contents of Pb,As,and Hg in the 10 kinds of powder cosmetics do not exceed the standard.In a word,the HG-NDAFS method established in this study for the determination of Pb,As and Hg in powder cosmetics is accurate and can be used for the determination of Pb,As and Hg in powder cosmetics.
刘萍;程磊
安徽水利水电职业技术学院 资源与环境工程学院,安徽 合肥 231600巢湖学院 化学与材料工程学院,安徽 合肥 238024
化学工程
氢化物发生-非色散原子荧光光谱法粉饼化妆品铅元素砷元素汞元素
hydride generation-non-dispersive atomic fluorescence spectrometrypowdercosmeticsleadarsenicmercury
《日用化学工业(中英文)》 2024 (009)
1140-1144 / 5
安徽省高等学校自然科学研究项目(KJ2017A603);安徽省高等学校自然科学研究项目(2023AH053055)
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