SPA Combined with Swarm Intelligence Optimization Algorithms for Wavelength Variable Selection to Rapidly Discriminate the Adulteration of Apple Juice

The application of wavelength variable selection before partial least squares (PLS) regression to rapidly discriminate the adulteration of apple juice by Fourier transform near-infrared (FT-NIR) was investigated in this study. Successive projections algorithm (SPA) combined with four swarm intellige...

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Bibliographic Details
Published in:	Food analytical methods Vol. 10; no. 6; pp. 1965 - 1971
Main Authors:	Li, Ying, Guo, Yajing, Liu, Chang, Wang, Wu, Rao, Pingfan, Fu, Caili, Wang, Shaoyun
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2017 Springer Nature B.V
Subjects:	adulterated products Algorithms Analytical Chemistry analytical methods apple juice Apples artificial intelligence Chemistry Chemistry and Materials Science Chemistry/Food Science Food Science Fourier transforms Fruits Genetic algorithms Heuristic methods Juices least squares Microbiology Model accuracy Particle swarm optimization prediction Swarm intelligence Wavelengths Swarm intelligence optimization algorithms Successive projections algorithm Wavelength selection FT-NIR spectroscopy
ISSN:	1936-9751, 1936-976X
Online Access:	Get full text
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