Determination of essential and non-essential elements in green and black teas by FAAS and ICP OES simplified - multivariate classification of different tea products

被引:38
作者
Szymczycha-Madeja, Anna [1 ]
Welna, Maja [1 ]
Pohl, Pawel [1 ]
机构
[1] Wroclaw Univ Technol, Fac Chem, Dept Analyt Chem, PL-50370 Wroclaw, Poland
关键词
Green tea; Black tea; Sample preparation; Multi-element analysis; Principal component analysis; Linear discriminant analysis; ATOMIC-ABSORPTION-SPECTROMETRY; HERBAL TEAS; MULTIELEMENT ANALYSIS; ASSISTED DIGESTION; TRACE-ELEMENTS; SAUDI-ARABIA; SAMPLES; LEAVES; INFUSIONS; METALS;
D O I
10.1016/j.microc.2015.02.009
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A reliable method of the multi-element analysis of black and green teas, based on the ultrasound-assisted solubilisation of samples in aqua regia, was developed and validated for the determination of Ca, Fe, K, Mg, Mn and Na by flame atomic absorption spectrometry and Al, Ba, Cd, Co, Cr, Cu, Ni,Pb, Sr and Zn by inductively coupled plasma optical emission spectrometry. The proposed alternative sample preparation procedure was fast, straightforward and inexpensive in reference to amounts of reagents used and the equipment required. It gave results statistically identical to those achieved with the reference procedure, Le., the microwave-assisted wet digestion, validated by the analysis of a certified reference material of tea leaves (INCT-TL-1). Its analytical performance was also good and demonstrated by the precision (0.2-8.9%) and the accuracy (from -9.9 to + 1.2%) of results. Recoveries of added metals were in the range of 98.1 to 104%. Limits of quantification of studied metals were in the following ranges: 0.1-2.4 ng mL(-1) (Ba, Cd, Co, Cr, Cu, Ni, Sr and Zn), 5.1-25 ng mL(-1) (Al, K, Mg, Mn, Na and Pb) and 75-120 ng mL(-1) (Ca and Fe). The procedure was used for the analysis of 20 samples of different bagged and leaf black and green teas available in the Polish market. Concentrations of selected metals (Al, Cr, Fe, K, Mg, Mn, Na, Sr) were applied for the successful grouping of analyzed teas into four certain classes using the principal component analysis and the linear discriminant analysis. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:122 / 129
页数:8
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