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author:

Li, Ying (Li, Ying.) [1] | Guo, Yajing (Guo, Yajing.) [2] | Liu, Chang (Liu, Chang.) [3] | Wang, Wu (Wang, Wu.) [4] (Scholars:王武) | Rao, Pingfan (Rao, Pingfan.) [5] | Fu, Caili (Fu, Caili.) [6] | Wang, Shaoyun (Wang, Shaoyun.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

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 intelligence optimization algorithms, including genetic algorithm (GA), particle swarm optimization (PSO), group search optimizer (GSO), and firefly algorithm (FA), was applied to extract effective wavelength variables. The results demonstrated that the variable number of SPA-PSO-PLS models was validly improved with a wavelength variable of four. The accuracy of model was satisfactory with the coefficients of determination of prediction (R-p(2) = 0.9986) and good root mean square errors of prediction (RMSEP = 0.0628). The results suggested that SPA combined with swarm intelligence optimization algorithms for wavelength variable selection could rapidly and efficiently discriminate the adulteration of apple juice.

Keyword:

FT-NIR spectroscopy Successive projections algorithm Swarm intelligence optimization algorithms Wavelength selection

Community:

  • [ 1 ] [Li, Ying]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 2 ] [Guo, Yajing]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 3 ] [Liu, Chang]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 4 ] [Fu, Caili]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 5 ] [Wang, Shaoyun]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
  • [ 6 ] [Wang, Wu]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
  • [ 7 ] [Rao, Pingfan]Zhejiang Gongshang Univ, Sch Food Sci & Biotechnol, Hangzhou 310018, Zhejiang, Peoples R China

Reprint 's Address:

  • 付才力 汪少芸

    [Fu, Caili]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China;;[Wang, Shaoyun]Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China

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Source :

FOOD ANALYTICAL METHODS

ISSN: 1936-9751

Year: 2017

Issue: 6

Volume: 10

Page: 1965-1971

2 . 2 4 5

JCR@2017

2 . 6 0 0

JCR@2023

ESI Discipline: AGRICULTURAL SCIENCES;

ESI HC Threshold:157

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 23

SCOPUS Cited Count: 28

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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