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A Machine Vision System for Estimation of Theaflavins and Thearubigins in Orthodox Black Tea
| Content Provider | Semantic Scholar |
|---|---|
| Author | Akuli, Amitava Pal, Abhra Bej, Gopinath Dey, Tamal Ghosh, Arunangshu Tudu, Bipan Bhattacharyya, Nabarun Bandyopadhyay, Rajib |
| Copyright Year | 2016 |
| Abstract | Orthodox black tea quality depends upon the amount of certain organic compounds present and out of these, theaflavins (TF) and thearubigins (TR) are the most important ones While TF is responsible for attractive golden colour, increased brightness and astringency in tea liquor, TR is reddish brown, reduces the brightness of tea liquor and contribute mostly for the ashy taste of the liquor with minor improvement in astringency. The rapid estimation of TF and TR thus may resolve the problem of certain uncertainty or ambiguity tha t may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking imag es of tea liquor and employing artificial neural networks (ANN). The results show good correlation f estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible s pectrophotometer (UV-VIS). |
| Starting Page | 709 |
| Ending Page | 731 |
| Page Count | 23 |
| File Format | PDF HTM / HTML |
| DOI | 10.21307/ijssis-2017-891 |
| Volume Number | 9 |
| Alternate Webpage(s) | https://www.exeley.com/exeley/journals/in_jour_smart_sensing_and_intelligent_systems/9/2/pdf/10.21307_ijssis-2017-891.pdf |
| Alternate Webpage(s) | http://s2is.org/Issues/v9/n2/papers/abstract16.pdf |
| Alternate Webpage(s) | https://doi.org/10.21307/ijssis-2017-891 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
