Exploring bitterness of traditional Chinese medicine samples by potentiometric electronic tongue and by capillary electrophoresis and liquid chromatography coupled to UV detection

被引:17
|
作者
Yaroshenko, Irina [1 ,2 ,3 ]
Kirsanov, Dmitry [1 ,3 ]
Kartsova, Lyudmila [1 ]
Sidorova, Alla [2 ]
Sun, Qiyong [4 ]
Wan, Haitong [5 ]
He, Yu [5 ]
Wang, Ping [4 ]
Legin, Andrey [1 ,3 ]
机构
[1] St Petersburg State Univ, Inst Chem, Mendeleev Ctr, Univ Skaya Nab 7-9, St Petersburg 199034, Russia
[2] St Petersburg State Polytech Univ, Bioanalyt Lab CSU Analyt Spectrometry, Box 27,Gzhatskaya Str 27, St Petersburg 198220, Russia
[3] ITMO Univ, Lab Artificial Sensory Syst, Kronverkskiy Pr 49, St Petersburg 197101, Russia
[4] Zhejiang Univ, 866 Yuhangtang Rd, Hangzhou 310027, Zhejiang, Peoples R China
[5] Zhejiang Chinese Med Univ, 548 Binwen Rd, Hangzhou 310053, Zhejiang, Peoples R China
基金
俄罗斯基础研究基金会;
关键词
Traditional Chinese Medicine (TCM); Bitterness; Polyphenols; Chromatographic and electrophoretic profiles; Electronic tongue; NEAR-INFRARED-SPECTROSCOPY; SENSORY EVALUATION; TASTE; POLYPHENOLS; PREDICTION; SPECTROMETRY; PERCEPTION; COMPONENTS; REGRESSION; INFUSIONS;
D O I
10.1016/j.talanta.2016.01.058
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Instrumental bitterness assessment of traditional Chinese herbal medicine (TCM) preparations was addressed in this study. Three different approaches were evaluated, high-performance liquid chromatography coupled to UV detector (HPLC), capillary electrophoresis coupled to UV detector (CE) and a potentiometric multisensor system - electronic tongue (ET). Most studies involving HPLC and CE separations use these as selective instruments for quantification of individual substances. However we employed these techniques to provide chromatographic or electrophoretic sample profiles. These profiles are somewhat analogous to the profiles produced by the ET. Profiles from all instruments were then related to professional sensory panel evaluations using projections on latent structures (PLS) regression. It was found that all three methods allow for bitterness assessment in TCM samples in terms of human sensory panel with root mean squared errors of prediction ca. 0.9 within bitterness scale from 0 (no bitterness) to 6 (maximal bitterness). (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:105 / 111
页数:7
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