Detection of Optimum Fermentation Time of Black CTC Tea Using a Voltammetric Electronic Tongue

作者：Ghosh Arunangshu^*; Sharma Prolay; Tudu Bipan; Sabhapondit Santanu; Baruah Binoti Devi; Tamuly Pradip; Bhattacharyya Nabarun; Bandyopadhyay Rajib

来源：IEEE Transactions on Instrumentation and Measurement, 2015, 64(10): 2720-2729.

DOI：10.1109/TIM.2015.2415113

• Black tea
• feature extraction
• principal component analysis (PCA)
• principal component regression (PCR)
• theaflavins
• voltammetric electronic tongue (E-tongue)

A voltammetric electronic tongue (E-tongue) has been used to detect the optimum fermentation time (OFT) of crush tear curl black tea. An E-tongue with an array of five noble metal working electrodes has been developed for this purpose. A suitable large amplitude pulse voltammetric waveform is used and a simple feature extraction technique based on the charge activity of working electrodes is proposed. The principal component analysis reveals a significant correlation between the E-tongue responses and the biochemical changes during various stages of fermentation. Principal component regression models are developed to assess the effectiveness of the features derived from E-tongue response to model the temporal variations of theaflavins, a key quality compound of tea, produced during the fermentation process. The OFTs detected by the E-tongue correlate by a factor of 0.97 with the estimates obtained from an ultraviolet-visible spectrophotometer-based reference method.

• 出版日期2015-10