Black tea |
Quality assessment of black tea |
5 electrodes made of 5 different noble metals |
5 commercial MOS sensors |
Mid-level of extracted features (wavelet) |
[22] |
Virgin olive oils |
Characterize virgin olive oils from different geographical areas |
4 electrodes of different metals |
5 commercial MOS sensors |
Low-level |
[23] |
Rice wines |
Evaluating the marked ages of rice wines |
3 types of modified electrodes with conducting polymer |
12 MOS sensors |
Low-level |
[72] |
Chinese Robusta coffees |
Characterizationand classification of Chinese Robusta coffee cultivars |
Commercial e-tongue |
Commercial e-nose |
Low-level |
[73] |
Black tea |
Classification of different grade of black tea |
5 electrodes made of 5 different noble metals |
5 commercial MOS sensors |
Mid-level of extracted features (wavelets) |
[74] |
Orthosiphon stamineus
|
Classification of Orthosiphon stamineus
|
7 commercial ion-selective sensors |
Commercial e-nose |
Low-level |
[75] |
Meat |
Recognition of organoleptic characteristics of minced mutton adulterated with pork |
Commercial taste system |
Commercial e-nose |
Low-level fusion and mid-level fusion |
[76] |
Cherry tomato juices |
Authentication of fresh cherry tomato juices adulterated with overripe tomato juices |
Commercial e-tongue |
Commercial e-nose |
Low-level; mid-level with selected features (PCA scores, F selection, stepwise selection) |
[77] |
Edible oil |
Detection of the blending ratio of old frying oil and new edible-oil |
Gold electrode |
8 commercial gas sensors |
Low-level |
[78] |
Mushroom |
Detection of submerged fermentation |
Commercial e-tongue |
10 commercial MOS sensors |
Low-level |
[79] |