DDGS饲料不研磨建立近红外模型的探索
Exploration of Establishing Near-Infrared Model of DDGS Feed without Grinding
DOI: 10.12677/HJFNS.2020.92025, PDF,   
作者: 姜 影:吉林省博大生化有限公司,吉林;刘欣雨, 周琳峰:吉林燃料乙醇有限责任公司,吉林
关键词: 近红外漫反射光谱(NIRS nirdrs)偏最小二乘法(PLS)粉碎粒度Near-Infrared Spectroscopy (NIRS Nirdrs) Partial Least Squares (PLS) Crushing Size
摘要: 利用近红外分析技术,采用偏最小二乘(PLS)回归方法,分别对光谱进行附加散射校正,变量标准化,一阶导数及二阶导数处理,建立了饲料中某些成分的近红外模型。通过近红外模型数据与其对应的化学值相对比,制定了对于筛孔粒径为1.7mm或2.0mm时,而且饲料中脂肪球较少或不含脂肪球的情况下,可以不研磨样品,准确测定饲料中的相关项目。
Abstract: Using near-infrared analysis technology and partial least squares (PLS) regression method, the spectrum is subjected to additional scattering correction, variable normalization, first and second derivative processing, and a near-infrared model of certain ingredients in the feed was established. By comparing the near-infrared model data with its corresponding chemical value, it is formulated that when the particle size of the sieve is 1.7mm or 2.0mm, and there are few or no fat globules in the feed, the sample may not be ground, which is accurate determination of related items in feed.
文章引用:姜影, 刘欣雨, 周琳峰. DDGS饲料不研磨建立近红外模型的探索[J]. 食品与营养科学, 2020, 9(2): 187-192. https://doi.org/10.12677/HJFNS.2020.92025

参考文献

[1] 赵枝新, 金岭梅. 粉碎粒度对近红外分析仪测定饲料样品干物质和粗蛋白质含量的影响[J]. 山东饲料, 2003(2): 17-18.
[2] 徐广通, 袁洪福, 陆婉珍. 现代近红外光谱技术及应用进展[J]. 光谱学与光谱分析, 2000, 20(2): 134-142.
[3] 祝诗平. 近红外光谱品质检测方法研究[D]: [博士学位论文]. 北京: 中国农业大学, 2003.
[4] 张玲, 邱芳萍, 于健. 现代近红外光谱技术[J]. 长春工业大学学报: 自然科学版, 2003(4): 27-29.
[5] 闵顺耕, 李宁, 张明祥. 近红外光谱分析中异常值的判别与定量模型优化[J]. 光谱学与光谱分析, 2004, 24(10): 1205-1209.