Prediction of theaflavin and thearubigin content in black tea using a voltammetric electronic tongue

被引:32
|
作者
Ghosh, Arunangshu [1 ]
Tudu, Bipan [1 ]
Tamuly, Pradip [2 ]
Bhattacharyya, Nabarun [3 ]
Bandyopadhyay, Rajib [1 ]
机构
[1] Jadavpur Univ, Dept Instrumentat & Elect Engn, Kolkata 700098, India
[2] Tea Res Assoc, Jorhat 785008, Assam, India
[3] Ctr Dev Adv Comp, Kolkata 700091, India
关键词
Theaflavins; Thearubigins; Voltammetric electronic tongue; Partial least squares regression; Support vector regression; Multi-layer perceptrons; QUALITY; CLASSIFICATION; DISCRIMINATION; TASTE; NOSE; CHROMATOGRAPHY; FERMENTATION; CATECHINS; WINES; ARRAY;
D O I
10.1016/j.chemolab.2012.04.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The two most important chemical groups that decide the liquor characteristics of black CTC (cut, torn and curled) tea are theaflavins (TF) and thearubigins (TR). Hence, a quick estimation of concentration of these compounds can significantly contribute to the evaluation process for the quality of finished tea in an objective manner. In this paper, a scheme for rapid measurement of concentration of TF and TR is described using a voltammetric electronic tongue with five working electrodes made of noble metals. The results indicate good correlation of electronic tongue predictions with the actual concentrations obtained using ultraviolet-visible spectrophotometer. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:57 / 66
页数:10
相关论文
共 50 条
  • [31] Fusion of electronic nose and tongue response using fuzzy based approach for black tea classification
    Banerjee , Runu
    Modak, Angiras
    Mondal, Sourav
    Tudu, Bipan
    Bandyopadhyay, Rajib
    Bhattacharyya, Nabarun
    FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013, 2013, 10 : 615 - 622
  • [32] Analysis of the Effect of Rolling Speed on the Congou Black Tea Quality Using Electronic Tongue and Metabolomics
    Wu S.
    Yu Q.
    Zhu J.
    Hua J.
    Shen S.
    Jiang Y.
    Yuan H.
    Li J.
    Shipin Kexue/Food Science, 2023, 44 (05): : 301 - 310
  • [33] Discrimination of Xihulongjing tea grade using an electronic tongue
    Xiao, Hong
    Wang, Jun
    AFRICAN JOURNAL OF BIOTECHNOLOGY, 2009, 8 (24): : 6985 - 6992
  • [34] Sliding Window-based DCT Features for Tea Quality Prediction Using Electronic Tongue
    Saha, Pradip
    Ghorai, Santanu
    Tudu, Bipan
    Bandyopadhyay, Rajib
    Bhattacharyya, Nabarun
    PERCEPTION AND MACHINE INTELLIGENCE, 2015, 2015, : 230 - 236
  • [35] Ammonium and Phosphate Quantification in Wastewater by Using a Voltammetric Electronic Tongue
    Campos, Inmaculada
    Sangrador, Ana
    Bataller, Roman
    Aguado, Daniel
    Barat, Ramon
    Soto, Juan
    Martinez-Manez, Ramon
    ELECTROANALYSIS, 2014, 26 (03) : 588 - 595
  • [36] Detection of Adulteration in Argan Oil by Using an Electronic Nose and a Voltammetric Electronic Tongue
    Bougrini, Madiha
    Tahri, Khalid
    Haddi, Zouhair
    Saidi, Tarik
    El Bari, Nezha
    Bouchikhi, Benachir
    JOURNAL OF SENSORS, 2014, 2014
  • [37] Prediction of NaCl, nitrate and nitrite contents in minced meat by using a voltammetric electronic tongue and an impedimetric sensor
    Labrador, Roberto H.
    Masot, Rafael
    Alcaniz, Miguel
    Baigts, Diana
    Soto, Juan
    Martinez-Manez, Ramon
    Garcia-Breijo, Eduardo
    Gil, Luis
    Barat, Jose M.
    FOOD CHEMISTRY, 2010, 122 (03) : 864 - 870
  • [38] Rapid Characterization of Black Tea Taste Quality Using Miniature NIR Spectroscopy and Electronic Tongue Sensors
    Ren, Guangxin
    Zhang, Xusheng
    Wu, Rui
    Yin, Lingling
    Hu, Wenyan
    Zhang, Zhengzhu
    BIOSENSORS-BASEL, 2023, 13 (01):
  • [39] Application of Electronic Tongue in the Evaluation of Sweet Taste Quality of Congou Black Tea
    Yao, Yuefeng
    Wang, Jiaqin
    Hua, Jinjie
    Xu, Qi
    Zhang, Mingming
    Jiang, Yongwen
    Yuan, Haibo
    Dong, Chunwang
    Li, Jia
    Shipin Kexue/Food Science, 2019, 40 (18): : 236 - 241
  • [40] Identification of Xinyang Maojian Tea Taste Using Electronic Tongue
    Zhang, Hongmei
    Zou, Guangyu
    Liu, Xinping
    Xiao, Yanzhong
    Wang, Wanzhang
    SENSORS AND MATERIALS, 2019, 31 (07) : 2347 - 2356