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Direct ICP-OES multielement analysis of infused black and green teas and chemical fractionation of selected essential and non-essential elements prior to evaluation of their bioavailability and classification of teas by pattern recognition
Arabian Journal of Chemistry ( IF 5.3 ) Pub Date : 2020-01-01 , DOI: 10.1016/j.arabjc.2018.02.013
Pawel Pohl , Anna Szymczycha-Madeja , Maja Welna

Abstract Operationally defined chemical fractionation of Al, Ba, Ca, Cu, Fe, Mg, Mn, Ni, Sr and Zn in infusions of loose leaf and bagged black and green teas was carried out. It was based on tandem-column solid phase extraction using reverse-phase and strong cation-exchange extraction tubes connected in series. Concentrations of elements in resultant infusions as well as column effluents and eluates were determined with the aid of inductively coupled plasma optical emission spectrometry and a newly developed simplified sample preparation procedure. It was established that information on separated chemical fractions, particularly the fraction of residual species of elements, had better discrimination power than information about total concentrations of these elements. Differences in chemical fractionation patterns of elements in infusions of analyzed four types of tea led to simple classification of different black and green teas by principal component analysis and linear discriminant analysis.

中文翻译:

在评估生物利用度和通过模式识别对茶进行分类之前,直接 ICP-OES 对冲泡的红茶和绿茶进行多元素分析,并对选定的必需和非必需元素进行化学分馏

摘要 对散叶茶和袋装红茶和绿茶浸液中的铝、钡、钙、铜、铁、镁、锰、镍、锶和锌进行了操作定义的化学分馏。它基于使用串联连接的反相和强阳离子交换萃取管的串联柱固相萃取。借助电感耦合等离子体发射光谱法和新开发的简化样品制备程序,测定所得输液以及柱流出物和洗脱液中的元素浓度。已确定分离的化学组分的信息,特别是元素的残留物种的组分,比这些元素的总浓度信息具有更好的鉴别能力。
更新日期:2020-01-01
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