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(6 10 0～4 2 5 0cm- 1 ;6 10 0～ 5 4 5 0cm- 1 并 4 6 0 0～ 4 2 5 0cm- 1 ;75 0 0～5 4 5 0cm- 1 并 4 6 0 0～4 2 5 0cm- 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。
Three spectrum regions (6100-4250 cm -1, 61 00 -5450 cm -1 and 4600-4250 cm -1, 7500-5450 cm -1and 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.
出处
《中国水稻科学》
CAS
CSCD
北大核心
2004年第6期563-566,共4页
Chinese Journal of Rice Science
基金
国家自然科学基金资助项目(303708685)
国家863计划资助项目(2001AA241011
2002AA207002)
浙江省自然科学基金重大项目(ZA0106)
农业部农业结构调整专项资助项目(20020101A)
关键词
近红外反射光谱技术
稻米
脂肪
含量测定
milled rice
fat content
near infrared reflectance spectroscopy
forecast result of model
methodology
