蓖麻籽含油率测定的近红外模型  

Near-infrared Model for Testing Castor Seed Oil Content

作　　者：张良波[1,2] 刘汝宽[1,2] 廖博爱 李培旺[1,2] 顾佳宁 李昌珠[1,2] 

机构地区：[1]湖南省林业科学院,长沙410004 [2]油料能源植物湖南省工程实验室,长沙410004 [3]湖南农业大学生物科学技术学院,长沙410128

出　　处：《农学学报》2014年第7期78-81,共4页Journal of Agriculture

基　　金：国家科技支撑项目"新型油料能源植物选育及栽培示范"(SQ2013NC230E00465);国家科技支撑课题"能源型专用植物资新品种选育技术研究"(2007BAD41B01);林业公益项目"南方特色工业用油料植物利用关键技术研究"(201004071)

摘　　要：为快速测定蓖麻籽的含油率,缩短采购检验的时间,保持被检测样品的完整性,使用Perten DA7200型近红外仪测定了46份蓖麻籽样品的近红外光谱值,并用常规化学分析方法测定了对应蓖麻籽样品的含油率,并将这二者拟合建立了定标模型。验证评价结果表明:含油率的相关性为0.9655,定标方程的偏差为0.000003913,定标方程的预测能力良好,可替代传统含油率测定方式,实现快速无损测定蓖麻籽含油率。To develop a time-saving and nondestructive testing method for determination the oil content of castor seeds, Perten DA7200 near-infrared analyzer was used in this determination of near-infrared spectral values of 46 castor samples, and these samples oil content were determined by conventional chemical analysis method at the same time. Then a calibration model was established based on the combination of the two to fit. The the verification and evaluation results showed that： the oil content＇ s correlation coefficient was 0.9655, and the deviation of the calibration equation was 0.000003913. It proved that the calibration equation has excellent predictive capability and was a better alternative to traditional oil content measurement in rapid and nondestructive determination of caster bean oil content.

关 键 词：蓖麻 含油率 近红外模型 

分 类 号：S565.6[农业科学—作物学]