PMID- 36014381
OWN - NLM
STAT- MEDLINE
DCOM- 20220829
LR  - 20221229
IS  - 1420-3049 (Electronic)
IS  - 1420-3049 (Linking)
VI  - 27
IP  - 16
DP  - 2022 Aug 12
TI  - Grey Wolf Optimizer for Variable Selection in Quantification of Quaternary Edible 
      Blend Oil by Ultraviolet-Visible Spectroscopy.
LID - 10.3390/molecules27165141 [doi]
LID - 5141
AB  - A novel swarm intelligence algorithm, discretized grey wolf optimizer (GWO), was 
      introduced as a variable selection tool in edible blend oil analysis for the 
      first time. In the approach, positions of wolves were updated and then 
      discretized by logical function. The performance of a wolf pack, the iteration 
      number and the number of wolves were investigated. The partial least squares 
      (PLS) method was used to establish and predict single oil contents in samples. To 
      validate the method, 102 edible blend oil samples containing soybean oil, 
      sunflower oil, peanut oil and sesame oil were measured by an ultraviolet-visible 
      (UV-Vis) spectrophotometer. The results demonstrated that GWO-PLS models can 
      provide best prediction accuracy with least variables compared with full-spectrum 
      PLS, Monte Carlo uninformative variable elimination-PLS (MCUVE-PLS) and 
      randomization test-PLS (RT-PLS). The determination coefficients (R(2)) of GWO-PLS 
      were all above 0.95. Therefore, the research indicates the feasibility of using 
      discretized GWO for variable selection in rapid determination of quaternary 
      edible blend oil.
FAU - Zhang, Rongling
AU  - Zhang R
AD  - State Key Laboratory of Separation Membranes and Membrane Processes, School of 
      Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
AD  - Key Lab of Process Analysis and Control of Sichuan Universities, Yibin 
      University, Yibin 644000, China.
AD  - State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, 
      Xining 810016, China.
FAU - Wu, Xinyan
AU  - Wu X
AD  - State Key Laboratory of Separation Membranes and Membrane Processes, School of 
      Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
FAU - Chen, Yujie
AU  - Chen Y
AD  - State Key Laboratory of Separation Membranes and Membrane Processes, School of 
      Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
FAU - Xiang, Yang
AU  - Xiang Y
AD  - State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, 
      Xining 810016, China.
FAU - Liu, Dan
AU  - Liu D
AD  - State Key Laboratory of Separation Membranes and Membrane Processes, School of 
      Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
FAU - Bian, Xihui
AU  - Bian X
AUID- ORCID: 0000-0001-5554-7159
AD  - State Key Laboratory of Separation Membranes and Membrane Processes, School of 
      Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
AD  - Key Lab of Process Analysis and Control of Sichuan Universities, Yibin 
      University, Yibin 644000, China.
AD  - State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, 
      Xining 810016, China.
LA  - eng
GR  - No. 2020001/Key Lab of Process Analysis and Control of Sichuan Universities/
GR  - No. 2021-KF-07/Opening Foundation of State Key Laboratory of Plateau Ecology and 
      Agriculture/
GR  - No. 21ZYJDJC00100/Tianjin Science and Technology Program/
PT  - Journal Article
DEP - 20220812
PL  - Switzerland
TA  - Molecules
JT  - Molecules (Basel, Switzerland)
JID - 100964009
RN  - 0 (Peanut Oil)
RN  - 0 (Sunflower Oil)
RN  - 8001-22-7 (Soybean Oil)
SB  - IM
MH  - *Algorithms
MH  - Least-Squares Analysis
MH  - Peanut Oil
MH  - *Soybean Oil/analysis
MH  - Spectrophotometry, Ultraviolet
MH  - Sunflower Oil
PMC - PMC9793756
OTO - NOTNLM
OT  - edible blend oil
OT  - grey wolf optimizer
OT  - multivariate calibration
OT  - spectral analysis
OT  - variable selection
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2022/08/27 06:00
MHDA- 2022/08/30 06:00
PMCR- 2022/08/12
CRDT- 2022/08/26 01:36
PHST- 2022/07/06 00:00 [received]
PHST- 2022/08/01 00:00 [revised]
PHST- 2022/08/10 00:00 [accepted]
PHST- 2022/08/26 01:36 [entrez]
PHST- 2022/08/27 06:00 [pubmed]
PHST- 2022/08/30 06:00 [medline]
PHST- 2022/08/12 00:00 [pmc-release]
AID - molecules27165141 [pii]
AID - molecules-27-05141 [pii]
AID - 10.3390/molecules27165141 [doi]
PST - epublish
SO  - Molecules. 2022 Aug 12;27(16):5141. doi: 10.3390/molecules27165141.