NIRS定量分析油菜种子含油量、蛋白质含量数学模型的创建

被引：74

作者：

甘莉

孙秀丽

金良

王高全

徐久伟

魏泽兰

傅廷栋

不详

机构：

[1] 华中农业大学作物遗传改良国家重点实验室

[2] 华中农业大学作物遗传改良国家重点实验室武汉

[3] 武汉

来源：

中国农业科学 | 2003年 / 12期

关键词：

甘蓝型油菜; 近红外光谱; 数学模型; 含油量; 蛋白质含量;

D O I：

暂无

中图分类号：

S565.4 [油菜籽（芸薹）];

学科分类号：

0901 ;

摘要：

用近红外光谱 (NIRS)分析油菜品质。采用残余法测试了近 2 116份甘蓝型油菜品种资源种子的含油量 ,用近红外仪采集数据 ,选择 12 88份代表性样品 ,建立了数学模型。用该模型测试 96份待测样品 ,其NIRS的测试值与残余法测试的油菜种子含油量实测值相关系数为 0 .950 3 ,相对误差小于 3 .5% ,用凯氏定氮法测试了 63 7份油菜籽饼粕的蛋白质含量 ,选择 168份代表性样品 ,建立数学模型。 3 0份样品检测模型 ,NIRS测试值与凯氏定氮法测试的油菜籽饼粕蛋白质含量的实测值相关系数为 0 .9515,相对误差小于 6%。结果表明 ,这 2个数学模型已经可用来准确、快速、无污染、低消耗的测试油菜种子含油量和蛋白质含量

引用

页码：1609 / 1613

页数：5

共 11 条

[1]

Short communication: a novel system to estimate protein degradability in legume and grass hays. Dorshorst M E,Hoffman P C. Journal of Dairy Research . 2000

[2]

Predicting the effect of proteolysis on ruminal crude protein degradation of legume and grass silages using near-infrared reflectance spectroscopy. Hoffman P C,Brehm N M,Combs D K,Bauman L M,Peters J B,Undersander D J,Undersander D J. Journal of Dairy Research . 1999

[3]

AnlnvestingationofthestabilityofNIRScali brationsfortheanalysisofoilcontentinwholeseedcanola. GreenwoodCF ,,AllenJA,LeongAS,PallotTN,GolderTM,GolebiowskiT. 10thIn ternationalRapeseedCongress . 1999

[4]

Review of process and non-invasive near-infrared and infrared spectroscopy(1993-1999). Jerome J,workman L. Applied Spectroscopy Reviews . 1999

[5]

The applicability of NIRS for estimating multiple seed quality components in ethiopian mustard. Velasco L,Fernandez-Martinez J M,De Haro A. 9th International Rapeseed Congress . 1995

[6]

Application of near infrared to the analysis of oil, protein, chlorophyll and glucosinolats in canola/rapeseed. McGregor D I. Canole and Rapeseed-Production, Chemistry, Nutrition and Processing Technology . 1990

[7]

Precision of fatty acid analyses using near infrareo spectroscopy of whole seed brassicas. Pallot T N,Leong A S,Allen J A,Golder T M,Greenwood C F,Golebiowski T. . 1999

[8]

Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas,fish meal, meat meal products, and poultry meal. Fontaine J,Horr J,Schirmer B. Journal of Agriculture . 2001

[9]

Near infrared spectroscopy-a potentially useful method for rapid determination of fat and protein content in homogenized diets. Almendingen K,Meltzer H M,Pedersen J I,Nilsen B N,Ellekjaer M. European Journal of Clinical Nutrition . 2000

[10]

Rapid prediction of gross energy and utilizable energy in cereal food products using near-infrared reflectance spectroscopy. Kays S E,Barton F E,II. Journal ofAgricultural and Food Chemistry . 2002

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