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. 2022 Jan 12;22(2):577. doi: 10.3390/s22020577

Table 2.

List of publications related to the application of combined ET and EN.

Food Matrix Aim of the Study ET EN Data-Fusion Method Ref.
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]