？袁珂. 从绿茶中提取茶多酚的工艺方法[J]. 林产化学与工业, 1997, 17(1):56-60. [2] ？黄常毅, 范海滨, 刘飞, 等. 近红外光谱法在红曲菌固态发酵过程参数检测中的应用[J]. 分析测试学报, 2014, 33(1):13-20. [3] ？Cozzolino D, Kwiatkowski M J, Parker M. Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy[J]. Analytica Chimica Acta, 2004, 513(1):73-80. [4] ？Chen H Z, Song Q Q, Tang G Q. Optimal scheduling of cyclic batch processes for heat integration-basic formulation[J]. Journal of Cereal Science, 2014, 60(3):595-601. [5] ？Fernandez-Novales J, Lopez M I, Gonzalez-Czballero V. Shortwave- near infrared spectrescopy for determination of reducing sugar content during grape ripening, winemaking, and aging of white and red wines[J]. Food Research International, 2009, 42(2): 285-291. [6] ？Xu L, Lu J G, Yang Q M. A new method of information interval selection near infrared spectral[J]. Chinese Journal Of Chemical Engineering, 1997, 17(1): 56-60. [7] ？Norgaard L, Saudland A, Wagner J, Interval partial least-squares regression (ipls): a comparative chemometric study with an example from near-infrared spectroscopy[J]. Applied Spectroscopy, 2000, 54(3): 413-419. [8] ？Wang X F, Bao Y F, Liu G L. Study on the best analysis spectral section of NIR to detect alcohol concentration based on sipls[J]. Procedia Engineering, 2012, 29: 2285-2290. [9] ？Durand A. Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures innear-infrared quantitative analysis of cotton–viscose textiles[J]. Analytica Chimica Acta, 2007, 595(1):72-79. [10] ？Zou H Y, Wu H L, Fu H Y. Variable-weighted least-squares support vector machine for multivariate spectral analysis[J]. Talanta, 2010, 80(5):1698-1071. [11] ？Alves J C, Poppi R J. Biodiesel content determination in diesel fuel blends using near infrared (NIR) spectroscopy and support vector machines (SVM)[J]. Talanta, 2013, 104:155-161. [12] ？刘雪梅, 柳建设. 基于LS-SVM建模方法近红外光谱检测土壤速效N和速效K的研究[J]. 光谱学与光谱分析, 2012, 11: 3019-3023. [13] ？Chauchard F, Cogdill R, Rcussel S. Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes[J]. Chemometrics and intelligent laboratory systems, 2004, 72(2):141-150. [14] ？吴瑞梅, 王晓, 郭平, 等. 近红外光谱结合特征变量筛选方法用于农药乳油中毒死蜱含量的测定[J]. 分析测试学报, 2013, 32(11):1359-1363. [15] ？Slinkard K, Singleton V L. Total phenol analysis: automation and comparison with manual methods[J]. American Journal of Enology and Viticulture, 1997, 28(1):49-55.
