【作者】 柴玉华； 张长利； 谭克竹；

【Author】 Chai Yuhua1,2, Zhang Changli1, Tan Kezhu1 (1. College of Engineering, Northeastern Agricultural University, Ha’erbin 150030, 2. Institute of Information Sciences & Engineering, Northeaster University, shenyang 110004,)

【机构】 东北农业大学工程学院；

【摘要】 大豆品质筛选中要求分析技术准确而快速。本研究所用的近红外光谱仪具有测试速度快、操作简便等特点。但由于任何一台近红外光谱仪对每种组分或每种参数都要单独定标,因此,本研究采用Perton8620型近红外光谱仪测定大豆脂肪酸的含量。通过收集不同成分含量的大豆并将其分成两份,一份用于常规化学值的测定,另一份用于粉末样品的近红外光谱测定。利用瑞典波通86系列近红外仪收集了黑龙江省大豆的近红外特征光谱,建立了适合黑龙江省大豆检测的近红外定标模型。实验得到的黑龙江省大豆的近红外脂肪酸定标模型与国标方法的相关性为96.1%,SEC为0.18%。近红外光谱分析技术无需称重,无需化学试剂,可以快速检测大豆脂肪酸的含量,适用油脂加工企业原料收购的检测要求。更多还原

【Abstract】 It is required that the analysis is nicety and fleet in the quality filtration of soybean. The NIR system used in this research is fleet in detection and convenient. But every NIR is scaled for every component and every parameter separately ,the research used perton8620 NIR to detect the adipose acerbity content of the soybean. The soybean selected was separated two departs, one was measured chemistry value by routine means, the other was made dust and measured by NIR.NIR spectrum of the soybean produced in Hei lonbgjiang province was collect by perton 8620,and established calibration model for the soybean in Hei longjiang province. The relativity of the calibration model gained from the experiment is 96.1 percent, SEC is 0.18 percent. Weighing samples and chemistry reagent are not used in NIR detection technology , and the content of soybean adipose acerbity fleetly ,so the means is suited for the enterprise of grease and the detection requirement can be fulfilled in the purchase of raw material.更多还原