Chinese Journal of Rice Science

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Analysis of Fat Content in Milled Rice by Near Infrared Reflectance Spectroscopy

TANG Shao-qing1; 2; SHI Chun-hai1; JIAO Gui-ai2; HU Pei-song2; WANG Hai-lian3; WAN Jian-min3; 4; *   

  1. 1College of Agriculture and Biotechnology; Zhejiang University; Hangzhou 310029; China; 2State Key Laboratory of Rice Biology; China National Rice Research Institute; Hangzhou 310006; 3State Key Laboratory of Crop Genetics & Germplasm Enhancement; Nanjing Agricultural University; Nanjing 210095; 4Crop Research Institute; Chinese Academy of Agricultural Sciences
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-11-10 Published:2004-11-10

利用近红外反射光谱技术测定稻米中脂肪含量的研究初报

唐绍清1,2; 石春海1; 焦桂爱2; 胡培松2; 王海莲3; 万建民3,4,*   

  1. 1浙江大学 农业与生物技术学院， 浙江 杭州 310029； 2中国水稻研究所 水稻生物学国家重点实验室， 浙江 杭州 310006； 3南京农业大学 作物遗传与种质创新国家重点实验室, 江苏 南京 210095； 4中国农业科学院 作物研究所， 北京 100081;*通讯联系人，E-mail:rice@njau.edu.cn

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Abstract: Three spectrum regions (6100-4250, 6100 -5450 and 4600-4250, 7500-5450 and 4600-4250 cm-1) and four pretreatment methods (straight line subtraction, multiplicati ve scattering correction, vector normalization; first derivation ) were compare d to form a model for testing fat content in milled rice by using near infrared reflectance spectroscopy (NIRS). It was found that spectrum regions and pretreat ment methods had large effects on the model construction. In order to estimate the forecast result of the model, the feasibility of testing fat content in mil led rice by using NIRS and its application in breeding was discussed.

Key words: milled rice, fat content, near infrared reflectance spectroscopy

摘要： 利用精米粉脂肪含量化学分析值及其近红外反射光谱以建立分析精米中脂肪含量数学模型。选取3段谱区（6100～4250 cm-1；6100～5450 cm-1并4600～4250 cm-1；7500～5450 cm-1并4600～4250 cm-1）分别采用4种不同的预处理方法（直线扣除、乘性散射校正、矢量归一、一阶导数），对其结果进行比较，发现选择不同谱区和不同光谱预处理方法对所建模型有很大的影响，同时证明了利用近红外光谱技术测定稻米脂肪含量的可行性。还阐述了如何对模型进行评价，并讨论了它在遗传育种中的应用。

关键词: 稻米, 脂肪含量, 近红外反射光谱技术, 模型预测效果, 研究方法