[1] Zeb A. Triacylglycerols composition, oxidation and oxidation compounds in camellia oil using liquid chromatography-mass spectrometry[J]. Chemistry and Physics of Lipids, 2012, 165(5): 608-614.
[2] 李雪, 谭运寿, 马贵刚, 等. 山茶籽油研究应用进展[J]. 中国粮油学报, 2017, 32(11): 191-196.
Li X, Tan Y S, Ma G G, et al. Advance in research and application of camellia oil[J]. Journal of the Chinese Cereals and Oils Association, 2017, 32(11): 191-196.
[3] 孙通, 吴宜青, 李晓珍, 等. 基于近红外光谱和子窗口重排分析的山茶油掺假检测[J]. 光学学报, 2015, 35(6): 0630005.
Sun T, Wu Y Q, Li X Z, et al. Discrimination of camellia oil adulteration by NIR spectra and subwindow permutation analysis[J]. Acta Optica Sinica, 2015, 35(6): 0630005.
[4] 郑瑞娜, 谢定, 杨倩圆. 基于近红外光谱的海藻糖浆组分快速定量检测[J]. 食品与机械, 2017, 33(10): 60-63, 134.
Zheng R N, Xie D, Yang Q Y. Rapid quantitative detection of trehalose syrup component based on near infrared spectroscopy[J]. Food & Machinery, 2017, 33(10): 60-63, 134.
[5] 孔清清, 丁香乾, 宫会丽. 改进的修剪随机森林算法在烟叶近红外光谱产地识别中的应用研究[J]. 激光与光电子学进展, 2018, 55(1): 013006.
Kong Q Q, Ding X Q, Gong H L. Application of improved random forest pruning algorithm in tobacco origin identification of near infrared spectrum[J]. Laser & Optoelectronics Progress, 2018, 55(1): 013006.
[6] 王丽杰, 杨羽翼. 利用主成分权重重置实现牛奶成分浓度快速检测中近红外光谱的净化去噪[J]. 光学学报, 2017, 37(10): 1030003.
Wang L J, Yang Y Y. Purification and noise elimination of near infrared spectrum in rapid detection of milk components concentration by using principal component weight resetting[J]. Acta Optica Sinica, 2017, 37(10): 1030003.
[7] Cascant M M, Breil C. Fabiano-Tixier A S, et al. Determination of fatty acids and lipid classes in salmon oil by near infrared spectroscopy[J]. Food Chemistry, 2018, 239: 865-871.
[8] Li Z P, Wang J, Xiong Y T, et al. The determination of the fatty acid content of sea buckthorn seed oil using near infrared spectroscopy and variable selection methods for multivariate calibration[J]. Vibrational Spectroscopy, 2016, 84: 24-29.
[9] Yuan J J, Wang C Z, Chen H X, et al. Prediction of fatty acid composition in camellia oleifera oil by near infrared transmittance spectroscopy (NITS)[J]. Food Chemistry, 2013, 138(2/3): 1657-1662.
[10] Wang L. Lee F S C, Wang X R, 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(3): 529-536.
[11] Asachi M, Hassanpour A, Ghadiri M, et al. Assessment of near-infrared (NIR) spectroscopy for segregation measurement of low content level ingredients[J]. Powder Technology, 2017, 320: 143-154.
[12] 褚小立, 袁洪福, 陆婉珍. 近红外分析中光谱预处理及波长选择方法进展与应用[J]. 化学进展, 2004, 16(4): 528-542.
Chu X L, Yuan H F, Lu W Z. Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J]. Progress in Chemistry, 2004, 16(4): 528-542.
[13] Yun Y H, Wang W T, Deng B C, et al. Using variable combination population analysis for variable selection in multivariate calibration[J]. Analytica Chimica Acta, 2015, 862: 14-23.
[14] Yan H, Song X Z, Tian K D, et al. Quantitative determination of additive chlorantraniliprole in abamectin preparation: investigation of bootstrapping soft shrinkage approach by mid-infrared spectroscopy[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, 191: 296-302.
[15] Grabska J. Be
c' K B, Ishigaki M, et al. Spectra-structure correlations of saturated and unsaturated medium-chain fatty acids. Near-infrared and anharmonic DFT study of hexanoic acid and sorbic acid
[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2017, 185: 35-44.
[16] Armenta S. Garrigues S, de la Guardia M. Determination of edible oil parameters by near infrared spectrometry[J]. Analytica Chimica Acta, 2007, 596(2): 330-337.
[17] 郝勇, 薛龙. 亚麻酸红外光谱定量分析模型构建方法研究[J]. 中国农机化学报, 2015, 36(3): 164-168.
Hao Y, Xue L. Study on modeling methods for determination of the linolenic acid by using infrared spectroscopy[J]. Journal of Chinese Agricultural Mechanization, 2015, 36(3): 164-168.