| Title: | Classification of tea category using a portable electronic nose based on an odor imaging sensor array |
| Author(s): | Chen Q; Liu A; Zhao J; Ouyang Q; |
| Address: | "School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China. q.s.chen@hotmail.com" |
| DOI: | 10.1016/j.jpba.2013.05.046 |
| ISSN/ISBN: | 1873-264X (Electronic) 0731-7085 (Linking) |
| Abstract: | "A developed portable electronic nose (E-nose) based on an odor imaging sensor array was successfully used for classification of three different fermentation degrees of tea (i.e., green tea, black tea, and Oolong tea). The odor imaging sensor array was fabricated by printing nine dyes, including porphyrin and metalloporphyrins, on the hydrophobic porous membrane. A color change profile for each sample was obtained by differentiating the image of sensor array before and after exposure to tea's volatile organic compounds (VOCs). Multivariate analysis was used for the classification of tea categories, and linear discriminant analysis (LDA) achieved 100% classification rate by leave-one-out cross-validation (LOOCV). This study demonstrates that the E-nose based on odor imaging sensor array has a high potential in the classification of tea category according to different fermentation degrees" |
| Keywords: | Color Discriminant Analysis *Electronic Nose Fermentation Metalloporphyrins/chemistry Odorants/*analysis Porphyrins/chemistry Tea/*chemistry Volatile Organic Compounds/chemistry Classification Electronic nose Multivariate calibration Odor imaging sensor a; |
| Notes: | "MedlineChen, Quansheng Liu, Aiping Zhao, Jiewen Ouyang, Qin eng Research Support, Non-U.S. Gov't England 2013/07/03 J Pharm Biomed Anal. 2013 Oct; 84:77-83. doi: 10.1016/j.jpba.2013.05.046. Epub 2013 Jun 3" |
