微生物发酵床猪舍环境气味电子鼻判别模型的研究  

Discriminate Model of Electronic Nose for Distinguishing Volatiles of Microbial Fermentation Bed in Swine House

作　　者：蓝江林[1] 刘波[1] 陈峥[1] 宋泽琼[1,2] 林娟[2] 

机构地区：[1]福建省农业科学院农业生物资源研究所,福建福州350003 [2]福州大学生物科学与工程学院,福建福州350108

出　　处：《福建农业学报》2012年第1期77-86,共10页Fujian Journal of Agricultural Sciences

基　　金：科技部农业科技成果转化资金项目(2010GB2C40022);福建省科技计划项目--省属公益类科研院所基本科研专项(2010R1020-1);福建省财政专项--福建省农业科学院科技创新团队建设基金(STIF-Y03)

摘　　要：利用气相色谱-质谱联用(GC-MS)技术分析不同发酵程度垫料的挥发性物质,共检测到7类22种物质(匹配度≥90,相对含量≥4%)。根据挥发性物质的种类和含量,将30个样品分为4类,分别对应4个发酵级别。Ⅰ级:发酵程度浅;Ⅱ级:发酵程度较深;Ⅲ级:发酵程度深;Ⅳ级:发酵程度很深。利用聚类分析、逐步判别分析,构建了垫料发酵程度判别模型。判别模型对垫料发酵程度级别的判别准确率达96.67%,精确度可以满足垫料发酵程度归类,为建立养猪微生物发酵床垫料发酵程度判别模型标准和计算机自动分析方法提供可靠的基础。Volatile components from microbial fermentation bed in pig farming were analyzed with gas chromatography--mass spectrometry, results show that 22 components are separated and identified in 30 samples （matching degree≥90,relative content≥4%）, in which based on the kind and content in the components 4 types were clustered, corresponding to 4 ferment level respectively e. g. First level was characterized with shallaw degree of fermentation; Second level with medium degree;Third level with deep degree; Fourth level with profound. Using cluster analysis and discrimination analysis to build up the discrimination model. The accurate rate for discrimination model was up to 96.67%. utilizing the mathematical equation to determine the fermentation index of unknown pig litter, the degree of fermentation of unknown litter were judged fastly and accurately. The model of ferment level for pig litter was built up to provide the experience for computer--based standardizing analysis for scientific management of Pig Litter in the Microbial Fermentation Bed, further more with the new idea for pig breeding.

关 键 词：发酵床猪舍 挥发性物质 电子鼻 判别模型 

分 类 号：TS26[轻工技术与工程—发酵工程]