Optics and Precision Engineering, Volume. 22, Issue 9, 2352(2014)

Classification of adulterated milk by two-dimensional correlation near-infrared spectroscopy and multi-way principal component analysis

YANG Ren-jie1,*... LIU Rong2, YANG Yan-rong1 and ZHANG Wei-yu1 |Show fewer author(s)
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  • 2[in Chinese]
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    References(18)

    [1] [1] YANG Y R, YANG R J, ZHANG ZH Y, et al.. Discrimination of adulterated milk based on infrared spectroscopy and K-OPLS [J]. Opt.Precision Eng., 2013, 21(10):77-84. (in Chinese)

    [2] [2] NODA I. Advances in two-dimensional correlation spectroscopy [J]. Vibrational Spectroscopy, 2004, 36(2):143-165.

    [3] [3] YANG R J. Research on the detection of adulterated milk based on 2D correlation spectroscopy [D]. Tianjin: Tianjin University, 2013. (in Chinese)

    [4] [4] SUN S Q, ZHOU Q, CHEN J B. Infrared Spectroscopy for Complex Mixtures: Applications in Food and Traditional Chinese Medicine [M]. Beijing: Chemical Industry Press, 2011.

    [5] [5] WANG Y, XU C H, WANG P, et al.. Analysis and identification of different animal horns by a three-stage infrared spectroscopy [J]. Spectrochim Acta Part A: Molecular and Biomolecular Spectroscopy, 2011, 83(1):265-270.

    [6] [6] ZHANG Y L, CHEN J B, LEI Y, et al.. Discrimination of different red wine by Fourier-transform infrared and two-dimensional infrared correlation spectroscopy [J]. Journal of Molecular Structure, 2010, 974(1-3): 144-150.

    [7] [7] YANG R J, LIU R, XU K X. Detection of adulterated milk using two-dimensional correlation spectroscopy combined with multi-way partial least squares[J]. Food Bioscience, 2013, 2:61-67.

    [9] [9] YANG R J, LIU R, XU K X, et al.. Discrimination of adulterated milk based on two-dimensional correlation spectroscopy (2D-COS) combined with kernel orthogonal projection to latent structure (K-OPLS) [J]. Applied Spectroscopy. 67(12):1363-1367.

    [10] [10] YANG R J, LIU R, XU K X, et al.. Classification of adulterated milk with the parameterization of 2D correlation spectroscopy and least squares support vector machines [J]. Anal. Methods, 2013, 5: 5949-5953.

    [12] [12] GELADI P, ISAKSSON H, LINDQVIST L, et al.. Principal component analysis of multivariate image [J]. Chemometrics and Intelligent Laboratory Systems, 1989, 5(3):209-220.

    [13] [13] SMILDE A K, DOORNBOS D A. Three-way methods for the calibration of chromatographic systems: comparing PARAFAC and three-way PLS[J]. Journal of Chemometrics, 1991, 5:345-360.

    [14] [14] CHEN J B, ZHOU Q, NODA I, et al.. Quantitative classification of two-dimensional correlation spectra [J]. Applied Spectroscopy, 2009, 63(8):920-925.

    [15] [15] VILLEZ K, RUIZ M, SIN G, et al.. Combining multiway principal component analysis (MPCA) and clustering for efficient data mining of historical data sets of SBR process [J]. Water Science and Technology, 2008, 57(10):1659-1666.

    [16] [16] YU K, CHENG Y Y. Discriminating the genuineness of Chinese medicines with least squares support machines [J]. Chinese Journal of Anaytica Chemistry, 2006, 34(4):561-564. (in Chinese)

    [17] [17] SUYKENS J A K, VANDEWALLE J. Least squares support vector machine classifiers [J]. Neural Process. Lett., 1999, 9(3): 293-300.

    [18] [18] LASKO T A. BHAGWAT J G, ZOU K H. The use of receiver operating characteristic curves in biomedical informatics [J]. Journal of Biomedical Informatics, 2005, 38(5):404-415.

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    YANG Ren-jie, LIU Rong, YANG Yan-rong, ZHANG Wei-yu. Classification of adulterated milk by two-dimensional correlation near-infrared spectroscopy and multi-way principal component analysis[J]. Optics and Precision Engineering, 2014, 22(9): 2352

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    Paper Information

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    Received: Nov. 5, 2013

    Accepted: --

    Published Online: Oct. 23, 2014

    The Author Email: Ren-jie YANG (rjyang1978@163.com)

    DOI:10.3788/ope.20142209.2352

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