光谱技术检测饲料中营养成分的研究进展  

Research Progress in the Determination of Nutrients in Feed by Spectroscopy

作　　者：黄金耒 钱孟波[1] 贾楠 郎冲冲 王海峰 朱君 李斌[2,3] 王伟 Huang Jinlei;Qian Mengbo;Jia Nan;Lang Chongchong;Wang Haifeng;Zhu Jun;Li Bin;Wang Wei(College of Optical-mechatronics engineering,Zhejiang Agriculture and Forestry University,Zhejiang Hangzhou 311314;Beijing Research Center of Intelligent Equipment for Agriculture,Beijing 100097;National Engineering Research Center of Intelligent Equipment for Agriculture,Beijing 100097;Zaozhuang Shizhong automobile performance testing station,Shandong Zaozhuang 277100)

机构地区：[1]浙江农林大学光机电工程学院,浙江杭州311314 [2]北京市农林科学院智能装备技术研究中心,北京100097 [3]国家农业智能装备工程技术研究中心,北京100097 [4]枣庄市市中汽车性能检测站,山东枣庄277100

出　　处：《南方农机》2021年第20期4-10,共7页

基　　金：北京农业智能装备技术研究中心开放课题(KFZN2020W011)。

摘　　要：饲料中营养成分对动物生长发育起着至关重要的作用,营养成分不足直接影响动物生长发育,营养成分过量则会造成资源浪费。因此,定性定量分析饲料中的营养成分具有重要意义。鉴于此,课题组分析了饲料中六种主要营养成分及其生理作用、饲料中营养成分检测的传统方法,分析得出,传统检测方法具有耗时长、操作复杂、损耗大等缺点。在此基础上,重点分析了光谱分析技术以其快速检测、适用性广、灵敏度高等优点在饲料中营养成分检测方面的研究与应用,研究表明,光谱检测技术具有快速、准确、稳定的优点,在营养检测方面展现出了巨大潜力。Nutrients in feed play an important role in the growth and development of animals.Insufficient nutrients affect the growth and development of animals directly and excessive nutrients will cause a waste of resources.Therefore,qualitative and quantitative analysis of nutrients in feed is of great significance.In view of this,the project team analyzed the six main nutrients in the feed and their physiological functions,and the traditional methods for detecting the nutrients in the feed.The analysis showed that the traditional detection methods had the disadvantages of long time-consuming,complex operation,large loss and so on.On this basis,the research and application of spectral analysis technology in the detection of nutritional components in feed with its advantages of rapid detection,wide applicability and high sensitivity are analyzed.The research shows that spectral detection technology has the advantages of fast,accurate and stable,and shows great potential in nutritional detection.

关 键 词：饲料 营养成分 生理作用 检测技术 光谱分析 

分 类 号：S816.8[农业科学—饲料科学]