基于电子鼻的鱼粉中挥发性盐基氮检测模型比较  

Comparison of total volatile basic nitrogen detection models in fishmeal based on electronic nose

作　　者：刘辉[1] 牛智有[1] 

机构地区：[1]华中农业大学工程技术学院,武汉430070

出　　处：《农业工程学报》2010年第4期322-326,共5页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家"十一五"支撑计划项目(2006BAD14B03);湖北省自然科学基金项目(2007ABA351)资助

摘　　要：挥发性盐基氮(TVB-N)是表征鱼粉新鲜度的主要指标之一,为了探讨基于电子鼻系统检测鱼粉新鲜度的可行性,研制了检测鱼粉中TVB-N质量分数的电子鼻测量系统。该系统主要由氧化锡气敏传感器阵列、便携式数据采集设备和基于LabVIEW的采集程序组成。利用该系统对不同TVB-N质量分数的鱼粉样本进行气味信号采集,同时对鱼粉样本中的TVB-N的质量分数采用半微量凯式定氮法进行检测,利用2σ准则对传感器响应值进行数据剔除处理,建立了鱼粉中TVB-N质量分数的主成分分析(PCA)、多元线性回归(MLR)、BP神经网络模型,并用预测样本对模型进行验证。试验结果为:3种模型TVB-N质量分数预测值与实测值之间的决定系数R2、预测标准误差SEP、最大相对误差RE-max及平均相对误差RE-mean分别为0.48、10.25、13.62%、6.06%;0.59、9.14、13.91%、5.57%;0.94、3.64、6.30%、1.88%。BP神经网络效果最好,多元线性回归次之,主成分分析最差。研究结果表明,利用电子鼻技术可以有效对鱼粉中TVB-N质量分数进行检测。Total volatile basic nitrogen（TVB-N） is one of main characteristics of fishmeal freshness.In order to discuss the feasibility of fishmeal freshness detection based on electronic nose,an electronic nose was developed for the detection of TVB-N of fishmeal.It mainly consists of SnO2 gas sensors,portable data acquisition device and data acquisition program based on LabVIEW.Different number of storage days of fishmeal were detected by electronic nose and semimicro-kjeldahl determination.The value of gas sensors response were analyzed by 2σcriterion and principal component analysis.Then principal component analysis model,multiple linear regression model and back propagation neural network model of TVB-N mass fraction was created.And they were validated by prediction set.Coefficients of determination,standard error of prediction,maximum relative error and mean relative error between predicted TVB-N and measured one of these models were 0.48,10.25,13.62%,6.06%;0.59,9.14,13.91%,5.57%;0.94,3.64,6.30%, 1.88%,respectively.And BP neural network was the best method comparing to PCA（principal component analysis）and MLR（multiple linear regression）,and MLR was better than PCA.The results showed that it was effective for TVB-N mass fraction rapid detection in fishmeal based on electronic nose.

关 键 词：模型 神经网络 主成分分析 多元线性回归 电子鼻 挥发性盐基氮 鱼粉 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置] S983[自动化与计算机技术—控制科学与工程]