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液相色谱–原子荧光光谱联用分析不同种类稻米中4种砷形态含量(网络首发、推荐阅读)
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Analysis of Four Arsenic Species in Different Types of Rice Based on Liquid Chromatography-Atomic Fluorescence Spectrometry(Online First, Recommended Article)
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    摘要:

    基于液相色谱–原子荧光光谱联用技术,建立了同时快速分析紫米、红米和普通糙米中As(Ⅲ)、As(Ⅴ)、DMA和MMA 4种砷形态的方法。对色谱条件进行优化,结果表明,以碳酸氢氨为流动相梯度洗脱,4种砷化物可在10 min内获得基线分离。根据净化效果和吸附作用对石墨碳粉、石墨碳柱和C18柱三种吸附材料进行比较,结果发现,C18小柱能充分去除样品中的色素和大分子杂质。4种砷化物在0~50 μg/L线性范围内具有良好的相关性,相关系数均大于0.999 1,方法检出限和定量限分别为0.002 ~ 0.01 mg/kg和0.007 ~ 0.033 mg/kg。4种砷形态在各稻米基质中的三个水平添标回收率在75.2%~104%,相对标准偏差均小于9.9%。该方法适用于各种稻米中4种砷形态含量分析,为精准评估稻米砷摄入风险提供技术支持。

    Abstract:

    A fast analytical protocol for the simultaneous analysis of As(Ⅲ), As(Ⅴ), DMA and MMA in purple rice, red rice and common brown rice was established based on liquid chromatography-atomic fluorescence spectrometry. For the first time, three mobile phases (i.e. KH2PO4, (NH4)2CO3 and NH4HCO3) were examined to obtain separation conditions. The results showed that NH4HCO3 is the most effective eluent achieving the separation of As species with improved resolutions within 10 minutes. Bond elut carbon bulk, bond elut carbon and C18 were compared in view of their purification and adsorption capacities. The results showed that the C18 column can fully remove the pigment and macromolecular impurities. Four arsenic species had good linearity in the concentration ranging from 0 to 50 μg/L, and the correlation coefficients were all greater than 0.999 1. The limits of detection and the limits of quantification of the method were 0.002~0.01 mg/kg and 0.007~0.033 mg/kg, respectively. The recoveries of the four arsenic species at three spike levels in three rice matrices ranging from 75.2% to 104%, with the relative standard deviations is less than 9.9%. It is suitable for the analysis of the content of 4 arsenic species in various types of rice, and provides reliable technical support for accurately assessing the risk of arsenic intake in rice.

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杨 欢,许 萍,李洪艳,曹赵云*.液相色谱–原子荧光光谱联用分析不同种类稻米中4种砷形态含量(网络首发、推荐阅读)[J].粮油食品科技,2023,31(6):28-34.

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  • 在线发布日期: 2023-11-30
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