Modeling of the total antioxidant capacity of rooibos (Aspalathus linearis) tea infusions from chromatographic fingerprints and identification of potential antioxidant markers

被引:21
|
作者
Orzel, Joanna [1 ]
Daszykowski, Michal [1 ]
Kazura, Malgorzata [1 ]
de Beer, Dalene [2 ]
Joubert, Elizabeth [2 ,3 ]
Schulze, Alexandra E. [3 ]
Beelders, Theresa [3 ]
de Villiers, Andre [4 ]
Malherbe, Christiaan J. [2 ]
Walczak, Beata [1 ]
机构
[1] Silesian Univ, Inst Chem, PL-40006 Katowice, Poland
[2] Agr Res Council, Post Harvest & Wine Technol Div, Infruitec Nietvoorbij, ZA-7599 Stellenbosch, South Africa
[3] Univ Stellenbosch, Dept Food Sci, ZA-7602 Stellenbosch, South Africa
[4] Univ Stellenbosch, Dept Chem & Polymer Sci, ZA-7602 Stellenbosch, South Africa
基金
新加坡国家研究基金会;
关键词
Antioxidant markers; Aspalathus linearis; Polyphenols; Calibration; Chemometrics; Quality control; HERBAL TEA; STEAM PASTEURIZATION; PHENOLIC COMPOSITION; PRODUCTION SEASON; QUALITY; ORAC; CHEMOMETRICS; SELECTION; ALIGNMENT; ASSAYS;
D O I
10.1016/j.chroma.2014.09.030
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Models to predict the total antioxidant capacity (TAC) of rooibos tea infusions from their chromatographic fingerprints and peak table data (content of individual phenolic compounds), obtained using HPLC with diode array detection, were developed in order to identify potential antioxidant markers. Peak table data included the content of 12 compounds, namely phenylpyruvic acid-2-O-glucoside, aspalathin, nothofagin, isoorientin, orientin, ferulic acid, quercetin-3-O-robinobioside, vitexin, hyperoside, rutin, isovitexin and isoquercitrin. The TAC values, measured using the oxygen radical absorbance capacity (ORAC) and DPPH radical scavenging assays, could be predicted from the peak table data or the chromatographic fingerprints (prediction errors 9-12%) using partial least squares (PLS) regression. Prediction models created from samples of only two production years could additionally be used to predict the TAC of samples from another production year (prediction errors < 13%) indicating the robustness of the models in a quality control environment. Furthermore, the uninformative variable elimination (UVE)-PLS method was used to identify potential antioxidant markers for rooibos infusions. All individual phenolic compounds that were quantified were selected as informative variables, except vitexin, while UVE-PLS models developed from chromatographic fingerprints indicated additional antioxidant markers, namely (S)-eriodictyol-6-C-glucoside, (R)-eriodictyol-6-C-glucoside, aspalalinin and two unidentified compounds. The potential antioxidant markers should be validated prior to use in quality control of rooibos tea. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:101 / 109
页数:9
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