Department of Analytical Chemistry, Chemometric Research Group, Institute of Chemistry, The University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
Talanta. 2013 Oct 15;115:590-9. doi: 10.1016/j.talanta.2013.06.023. Epub 2013 Jun 25.
A nested analysis of variance combined with simultaneous component analysis, ASCA, was proposed to model high-dimensional chromatographic data. The data were obtained from an experiment designed to investigate the effect of production season, quality grade and post-production processing (steam pasteurization) on the phenolic content of the infusion of the popular herbal tea, rooibos, at 'cup-of-tea' strength. Specifically, a four-way analysis of variance where the experimental design involves nesting in two of the three crossed factors was considered. For the purpose of the study, batches of fermented rooibos plant material were sampled from each of four quality grades during three production seasons (2009, 2010 and 2011) and a sub-sample of each batch was steam-pasteurized. The phenolic content of each rooibos infusion was characterized by high performance liquid chromatography (HPLC)-diode array detection (DAD). In contrast to previous studies, the complete HPLC-DAD signals were used in the chemometric analysis in order to take into account the entire phenolic profile. All factors had a significant effect on the phenolic content of a 'cup-of-tea' strength rooibos infusion. In particular, infusions prepared from the grade A (highest quality) samples contained a higher content of almost all phenolic compounds than the lower quality plant material. The variations of the content of isoorientin and orientin in the different quality grade infusions over production seasons are larger than the variations in the content of aspalathin and quercetin-3-O-robinobioside. Ferulic acid can be used as an indicator of the quality of rooibos tea as its content generally decreases with increasing tea quality. Steam pasteurization decreased the content of the majority of phenolic compounds in a 'cup-of-tea' strength rooibos infusion.
提出了一种嵌套方差分析与同时成分分析(ASCA)相结合的方法,用于对高维色谱数据进行建模。该数据来自一项旨在研究生产季节、质量等级和产后加工(蒸汽巴氏杀菌)对流行草药茶罗布斯塔浸出物中酚类含量影响的实验。具体来说,考虑了一个四因素方差分析,其中实验设计涉及两个交叉因素的嵌套。在研究中,从四个质量等级中的每一个在三个生产季节(2009、2010 和 2011 年)中采集发酵罗布斯塔植物材料的批次,并对每个批次的一个子样本进行蒸汽巴氏杀菌。每个罗布斯塔浸出物的酚类含量都用高效液相色谱(HPLC)-二极管阵列检测(DAD)进行了表征。与之前的研究不同,在化学计量学分析中使用了完整的 HPLC-DAD 信号,以考虑整个酚类谱。所有因素对“一杯茶”强度罗布斯塔浸出物的酚类含量都有显著影响。特别是,从 A 级(最高质量)样品制备的浸出物比低质量植物材料含有更高含量的几乎所有酚类化合物。在不同质量等级的浸出物中,异荭草素和荭草素的含量随生产季节的变化比阿斯巴拉丁和槲皮素-3-O-罗宾糖苷的变化更大。阿魏酸可用作罗布斯塔茶质量的指标,因为其含量通常随茶质量的提高而降低。蒸汽巴氏杀菌降低了“一杯茶”强度罗布斯塔浸出物中大多数酚类化合物的含量。