PMID- 33270243
OWN - NLM
STAT- MEDLINE
DCOM- 20210716
LR  - 20210716
IS  - 1097-0010 (Electronic)
IS  - 0022-5142 (Linking)
VI  - 101
IP  - 8
DP  - 2021 Jun
TI  - Qualitative identification of the edible oil storage period using a homemade 
      portable electronic nose combined with multivariate analysis.
PG  - 3448-3456
LID - 10.1002/jsfa.10975 [doi]
AB  - BACKGROUND: The edible oil storage period is one of the important indicators for 
      evaluating the intrinsic quality of edible oil. The present study aimed to 
      develop a portable electronic nose device for the qualitative identification of 
      the edible oil storage period. First, four metal oxide semiconductor gas sensors, 
      comprising TGS2600, TGS2611, TGS2620 and MQ138, were selected to prepare a sensor 
      array to assemble a portable electronic nose device. Second, the homemade 
      portable electronic nose device was used to obtain the odor change information of 
      edible oil samples during different storage periods, and the sensor features were 
      extracted. Finally, three pattern recognition methods, comprising linear 
      discriminant analysis (LDA), K-nearest neighbors (KNN) and support vector 
      machines (SVM), were compared to establish a qualitative identification model of 
      the edible oil storage period. The input features and related parameters of the 
      model were optimized by a five-fold cross-validation during the process of model 
      establishment. RESULTS: The research results showed that the recognition 
      performance of the non-linear SVM model was significantly better than that of the 
      linear LDA and KNN models, especially in terms of generalization performance, 
      which had a correct recognition rate of 100% when predicting independent samples 
      in the prediction set. CONCLUSION: The overall results demonstrate that it is 
      feasible to apply the homemade portable electronic nose device with the help of 
      the appropriate pattern recognition methods to achieve the fast and efficient 
      identification of the edible oil storage period, which provides an effective 
      analysis tool for the quality detection of the edible oil storage. (c) 2020 Society 
      of Chemical Industry.
CI  - (c) 2020 Society of Chemical Industry.
FAU - Jiang, Hui
AU  - Jiang H
AUID- ORCID: 0000-0001-6754-1125
AD  - School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 
      212013, China.
FAU - He, Yingchao
AU  - He Y
AD  - School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 
      212013, China.
FAU - Chen, Quansheng
AU  - Chen Q
AD  - School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, 
      China.
LA  - eng
GR  - 2017YFC1600603/National Key Research and Development Program of China/
PT  - Evaluation Study
PT  - Journal Article
DEP - 20201221
PL  - England
TA  - J Sci Food Agric
JT  - Journal of the science of food and agriculture
JID - 0376334
RN  - 0 (Plant Oils)
SB  - IM
MH  - Discriminant Analysis
MH  - *Electronic Nose
MH  - Food Analysis/instrumentation/*methods
MH  - Food Storage
MH  - Multivariate Analysis
MH  - Plant Oils/*chemistry
MH  - Quality Control
MH  - Support Vector Machine
OTO - NOTNLM
OT  - edible oil
OT  - fast recognition
OT  - multivariate analysis
OT  - portable electronic nose
OT  - storage period
EDAT- 2020/12/04 06:00
MHDA- 2021/07/17 06:00
CRDT- 2020/12/03 12:10
PHST- 2020/10/17 00:00 [revised]
PHST- 2020/06/14 00:00 [received]
PHST- 2020/12/03 00:00 [accepted]
PHST- 2020/12/04 06:00 [pubmed]
PHST- 2021/07/17 06:00 [medline]
PHST- 2020/12/03 12:10 [entrez]
AID - 10.1002/jsfa.10975 [doi]
PST - ppublish
SO  - J Sci Food Agric. 2021 Jun;101(8):3448-3456. doi: 10.1002/jsfa.10975. Epub 2020 
      Dec 21.