NIR spectroscopy with grey wolf optimization algorithm for prediction of polyphenol content in inward tea leaves

Chanda, Somdeb; Sing, Dilip; Majumder, Soumyadeep; Nag, Sayak; Karmakar, Sourav; Upadhyay, A K; Hazarika, Ajanto Kumar; Sabhapondit, Santanu; Tasrin, Sahnaz

doi:10.1109/calcon.2017.8280762

Cited by 2 publications

(1 citation statement)

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“…It simulates the leadership hierarchy and group hunting mechanism of wolves, making the population gradually move towards global optimization. Due to the advantages of its simple structure, fast convergence and less control parameters, GWO has been widely applied in the fields of food [ 27 ], medicine [ 28 ], industry [ 29 , 30 ] and agriculture [ 31 , 32 , 33 ]. Unfortunately, to date, GWO coupled with UV-Vis spectroscopy for determination of single oils contents in edible blend oil, has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimizer for Variable Selection in Quantification of Quaternary Edible Blend Oil by Ultraviolet-Visible Spectroscopy

Zhang

Chen

et al. 2022

Molecules

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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 (R2) 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.

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