Abstract：The prediction of sugar content (SC) in citrus by near-infrared spectroscopy (NIRS) and sensory test was investigated the validation whether the result of non-destructive determination methods by NIRS can meet the request of consumers’ sensory or not, and the simplification of the prediction model of NIRS for citrus’s SC with variables selection on the basis of meeting their demands. Result of the latter analyzed by one-way ANOVA shows that there was a significant difference influenced by individual diversity, but not by gender. After excluding the sensuous outliers, root mean standard error of deviation (RMSED) of every participator was calculated and the minimum equaled to 0.633, which was chosen as borderline of NIR model’s RMSEP to meet the sensory request. Then, combined with spectral preprocessing and variables selection methods, SPA-MLR model was obtained by its robustness with Rp=0.86, as well as RMSEP=0.567 for prediction set, furthermore, prediction time just costs 6.8 ms. The achievement that not only meets the customers’ sensory, but also simplifies the prediction model can be a good reference for real time application in future.
袁雷明, 孙 力, 林 颢, 韩 恩, 刘海凌, 蔡健荣* . 基于感官品尝的柑橘糖度近红外光谱模型的简化 [J]. 光谱学与光谱分析, 2013, 33(09): 2387-2391.
YUAN Lei-ming, SUN Li, LIN Hao, HAN En, LIU Hai-ling, CAI Jian-rong* . Simplification of NIR Model for Citrus’s Sugar Content Based on Sensory Methods . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(09): 2387-2391.
[1] Nicolai B M, Beullens K, Bobelyn E, et al. Postharvest Biology and Technology, 2007, 46(2): 99. [2] Jamshidi B, Minaei S, Mohajerani E, et al. Computers and Electronics in Agriculture, 2012, 85: 64. [3] YUAN Lei-ming, GAO Hai-ning, CAI Jian-rong, et al(袁雷明, 高海宁, 蔡健荣, 等). Journal of Food Safety and Quality(食品安全质量检测学报), 2012, 3(5): 448. [4] Louw E D, Theron K I. Postharvest Biology and Technology, 2010, 3(58): 176. [5] McGlone V A, Fraser D G, Jordan R B, et al. Journal of Near Infrared Spectroscopy, 2003, 11(5): 323. [6] Miller W M, Zude-Sasse M. Applied Engineering in Agriculture, 2004, 20(3): 321. [7] Tewari J C, Dixit V, Cho B K, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2008, 71(3): 1119. [8] HONG Ya, HONG Tian-sheng, DAI Fen, et al(洪 涯, 洪添胜, 代 芬, 等). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2010, 26(2)：380. [9] Lee K, Kim S, Kang J, et al. Advances in Nondestructive Evaluation, 2004, 270~273(2): 1014. [10] Zude M, Pflanz M, Kaprielian C, et al. Biosystems Engineering, 2008, 99(3): 455. [11] Harker F R, Kupferman E M, Marin A B, et al. Postharvest Biology and Technology, 2008, 50(1): 70. [12] ZHAO Jie-wen, CHEN Quan-sheng(赵杰文, 陈全胜). Tea Quality and Safety Detection and Analysis Method(茶叶质量与安全检测技术及分析方法). Beijing: China Light Industry Press(北京: 中国轻工业出版社), 2011. 94.
