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投稿时间:2017-06-11
投稿时间:2017-06-11
中文摘要: 基于"向量-子空间夹角"判据,建立了饮料中咖啡因的快速分析方法。通过色谱-光谱联用采集功能饮料和碳酸饮料的紫外多波长光谱三维数据,构建不含被测组分咖啡因的功能饮料和可乐三维本底光谱数据库,基于向量-空间夹角法步骤测定了批量饮料样本中咖啡因含量。结果表明:该方法计算结果和高效液相色谱分析结果接近,相对误差小于4.0%,市售样品加标回收率在96.7%~106.0%,RSD值小于2.0%。分析模型建立后,只需采集饮料的紫外光谱即可完成分析。建立的方法快速、准确,可为饮料的现场分析提供可行方案。
Abstract:According to Vector-subspace (VS)angle criterion,a new method of quick caffeine-analyzing in drinks is created.Using chromatography-mass spectrum analysis to collect UV multi-wavelength spectral databases of common functional drink and Cola,the background databases of functional drink and Cola without tested Caffeine were established,then Caffeine in Red Bulk and Cola was determinate based on Vector-subspace Angle Criterion.The results presented that analysis results were similar to that of High performance liquid chromatography(HPLC),the relative errors were less than 4.0%,the recoveries of standard caffeine which was added in Red bulk drink and Cola samples were in the range of 96.7%-106.0%and the relative stand deviation was less than 2.0%.After the background databases were established,the analysis could be achieved by only collecting the drinks'UV wavelength spectral.The method is rapid and accurate,which could provide the feasible solution to drinks'scene analysis.
keywords: vector-subspace criterion caffeine HPLC drink
文章编号:201801025 中图分类号: 文献标志码:
基金项目:广西重点研发计划项目(桂科AB16380348);柳州市计划项目(2015J030201)
作者 | 单位 |
忻欣1,刘柳2,*,韩莹1,徐传杰3,粟晖2,姚志湘2 | 1.西派特(北京)科技有限公司,北京100029;2.广西科技大学生物与化学工程学院,广西柳州545006;3.广西壮族自治区计量检测研究院,广西南宁530007 |
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