[1] [1] Zhao Jiewen, Bi Xiakun, Lin Hao, et al.. Visible-near-infrared transmission spectra for rapid analysis of the freshness of eggs[J]. Laser & Optoelectronics Progress, 2013, 50(5): 053003.

[2] [2] Guo Peiyuan, Lin Yan, Fu Yan, et al.. Research on freshness level of meat based on near-infrared spectroscopic technique[J]. Laser & Optoelectronics Progress, 2013, 50(3): 033002.

[3] [3] Wu Chunyang, Lu Qipeng, Ding Haiquan, et al.. Noninvasive blood glucose sensing with near-infrared spectroscopy based on interstitial fluid[J]. Acta Optica Sinica, 2013, 33(11): 1117001.

[4] [4] Song Jia, Li Chenliang, Xing Gaoyang, et al.. Study on analyzing active ingredient of Marasmius androsaceus via radial basis function neural network combining with near infrared spectroscopy[J]. Acta Optica Sinica, 2014, 34(12): 1230001.

[5] [5] Zhang Haidong, Li Guirong, Li Ruocheng, et al.. Determination of tea polyphenols content in Puerh tea using near-infrared spectroscopy combined with extreme learning machine and GA-PLS algorithm[J]. Laser & Optoelectronics Progress, 2013, 50(4): 043001.

[6] [6] S A Haughey, P Galvin-King, Y C Ho, et al.. The feasibility of using near infrared and Raman spectroscopic techniques to detect fraudulent adulteration of chili powders with Sudan dye[J]. Food Control, 2015, 48: 75-83.

[7] [7] L Zhang, X Zhang, L Ni, et al.. Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy[J]. Food Chemistry, 2014, 145: 342-348.

[8] [8] H Chen, C Tan, T Wu, et al.. Discrimination between authentic and adulterated liquors by near-infrared spectroscopy and ensemble classification[J]. Spectrochimica Acta Part A -Molecular and Biomolecular Spectroscopy, 2014, 130: 245-249.

[9] [9] Cao Fang, Wu Di, He Yong, et al.. Variety discrimination of grapes based on visible-near reflection infrared spectroscopy[J]. Acta Optica Sinica, 2009, 29(2): 537-540.

[10] [10] A A Christy, S Kasemsumran, Y Du, et al.. The detection and quantification of adulteration in olive oil by near-infrared spectroscopy and chemometrics[J]. Analytical Sciences, 2004, 20(6): 935-940.

[11] [11] Zhuang Xiaoli, Xiang Yuhong, Qiang Hong, et al.. Quality analysis of olive oil and quantification detection of adulteration in olive oil by near-infrared spectrometry and chemometrics[J]. Spectroscopy and Spectral Analysis, 2010, 30(4): 933-936.

[12] [12] H Yang, J Irudayaraj. Comparison of near-infrared, Fourier transform-infrared, and Fourier transform-Raman methods for determining olive pomace oil adulteration in extra virgin olive oil[J]. Journal of the American Oil Chemists' Society, 2001, 78(9): 889-895.

[13] [13] B Ozturk, A Yalcin, D Ozdemir. Determination of olive oil adulteration with vegetable oils by near infrared spectroscopy coupled with multivariate calibration[J]. Journal of Near Infrared Spectroscopy, 2010, 18(3): 191-201.

[14] [14] A G Mignani, L Ciaccheri, H Ottevaere, et al.. Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany[J]. Analytical and Bioanalytical Chemistry, 2011, 399(3): 1315-1324.

[15] [15] Wang Chuanxian, Chu Qinghua, Ni Xinlu, et al.. Nondestructive identification of olive oil by near infrared spectroscopy[J]. Food Science, 2010, 31(24): 402-404.

[16] [16] D Ozdemir, B Ozturk. Near infrared spectroscopic determination of olive oil adulteration with sunflower and corn oil[J]. Journal of Food and Drug Analysis, 2007, 15(1): 40-47.

[17] [17] Yuan Jiaojiao, Wang Chengzhang, Chen Hongxia. Study on the quantitative analysis of camellia oil adulterated with soybean oil by near infrared transmittance spectroscopy (NITS)[J]. Journal of the Chinese Cereals and Oils Association, 2012, 27(3): 110-114.

[18] [18] Sun Tong, Hu Tian, Xu Wenli, et al.. Adulteration discrimination of camellia seed oil by Vis/NIR spectra and UVE-GA method[J]. China Oils and Fats, 2013, 38(10): 75-79.

[19] [19] L Wang, F S C Lee, X Wang, et al.. Feasibility study of quantifying and discriminating soybean oil adulteration in camellia oils by attenuated total reflectance MIR and fiber optic diffuse reflectance NIR[J]. Food Chemistry, 2006, 95: 529-536.

[20] [20] Zhang Juhua, Zhu Xiangrong, Shang Xuebo, et al.. Quantification analysis of camellia oils adulteration with rapeseed oil and soybean oil by combining near infrared spectroscopy and partial-least-squares[J]. Science and Technology of Food Industry, 2012, 33(3): 334-336.

[21] [21] T Wu, M Yang, H F Wei, et al.. Application of metabolomics in traditional Chinese medicine differentiation of deficiency and excess syndromes in patients with diabetes mellitus[J]. Evidence-Based Complementary and Alternative Medicine, 2012: 968083.

[22] [22] W Zhang, L X Zhang, H D Li, et al.. GC-MS based serum metabolomic analysis of isoflurane-induced postoperative cognitive dysfunctional rats: Biomarker screening and insight into possible pathogenesis[J]. Chromatographia, 2012, 75(13-14): 799-808.

[23] [23] H D Li, M M Zeng, B B Tan, et al.. Recipe for revealing informative metabolites based on model population analysis[J]. Metabolomics, 2010, 6(3): 353-361.

[24] [24] H D Li, Y Z Liang, Q S Xu, et al.. Model population analysis for variable selection[J]. Journal of Chemometrics, 2010, 24(7-8): 418-423.

[25] [25] H D Li, Y Z Liang, Q S Xu, et al.. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration[J]. Analytica Chimica Acta, 2009, 648(1):77-84.

[26] [26] V Centner, D L Massart, O E Denoord, et al.. Elimination of uninformative variables for multivariate calibration[J]. Analytical Chemistry, 1996, 68(21): 3851-3858.