• Optics and Precision Engineering
  • Vol. 21, Issue 10, 2549 (2013)
YANG Yan-rong1,*, YANG Ren-jie1, ZHANG Zhi-yong1, DONG Gui-mei1, and YANG Shi-chun2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3788/ope.20132110.2549 Cite this Article
    YANG Yan-rong, YANG Ren-jie, ZHANG Zhi-yong, DONG Gui-mei, YANG Shi-chun. Discrimination of adulterated milk based on infrared spectroscopy and K-OPLS[J]. Optics and Precision Engineering, 2013, 21(10): 2549 Copy Citation Text show less
    References

    [1] LISA J M, ALONA A, CHERNYSHOVA A H, et al.. Melamine detection in infant formula powder using near- and mid-infrared spectroscopy [J]. Agric. Food Chem., 2009, 57:3974-3980.

    [2] TANG Y L. Study on near infrared spectroscopy technique for composition detection of dairy production [J]. Journal of Dairy Science and Technology, 2009, 32(4):190-194. (in Chinese )

    [3] YANG R J, LIU R, XU K X. Detection of urea in milk using two-dimensional (2D) correlation spectroscopy and partial least square method [J].Transactions of the CSAE, 2012, 28(6):259-263. (in Chinese)

    [4] KASEMSUMARAN S, THANAPASE W, KIATSOONTHON A. Feasibility of near infrared spectroscopy to detect and to quantify adulterants in cow milk [J]. Analytical Sciences, 2007, 23(7):907-910.

    [5] YANG R J, LIU R, XU K X. Adulteration detection of urea in milk by mid-infrared spectroscopy [J]. Spectroscopy and Spectral Analysis, 2011, 31(9):2383-2385. (in Chinese)

    [6] LU C H, XING B R, HAO G, et al.. Rapid detection of melamine in milk powder by near infrared spectroscopy [J]. Near infrared Spectroscopy, 2009,17(2):59-67.

    [7] LEE S Y, ERDENE O G, JAEBUM C,et al.. Detection of melamine in powdered milk using surface-enhanced roman scattering with no pretreatment [J]. Analytical Letters, 2010, 43(14):2135-2141.

    [8] TRYGG J, WOLD S. Orthogonal projections to latent structures (O-PLS) [J]. Journal of Chemometrics,2002, 16(3):119-128.

    [9] BYLESJ M, RANTALAINEN M, CLOAREC O, et al.. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification [J]. Journal of Chemometrics,2006, 20:341-351.

    [10] RANTALAINEN M, BYLESJ, CLOAREC O, et al.. Kernel-based orthogonal projections to latent structures (K-OPLS)[J]. Journal of Chemometrics, 2007, 21(7): 376-385.

    [11] CHEN M, HE Y J, WANG J D, et al.. Integrated method of wavelet packet analysis and K-OPLS and its application in measurement of particle size distribution [J]. CIESC Journal, 2010, 61(6):1349-1356. (in Chinese)

    [12] BYLESJ M, RANTALAINEN M, NICHOLSON J K, et al.. K-OPLS package: kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space [J]. BMC Bioinformatics, 2008, 9:106.

    [13] WESTAMAN E, WAHLUND L O, FOY C, et al.. Combining MRI and MRS to distinguish between Alzheimer's disease and healthy controls [J]. Journal of Alzheimer's Disease, 2012, 22(1):171-181.

    [14] MEHDI J H, HESHMATOLLAH E N, AKRAM K. Use of kernel orthogonal projection to latent structure in modeling of retention indices of pesticides[J]. QSAR Comb., 2009, 28(11-12):1432-1441.

    YANG Yan-rong, YANG Ren-jie, ZHANG Zhi-yong, DONG Gui-mei, YANG Shi-chun. Discrimination of adulterated milk based on infrared spectroscopy and K-OPLS[J]. Optics and Precision Engineering, 2013, 21(10): 2549
    Download Citation