摘要
为实现鸭蛋蛋清中金霉素残留含量的快速测定与检测模型精度的提高,应用导数同步荧光法结合支持向量回归(SVR)建立鸭蛋蛋清中的金霉素含量的预测模型。首先在280~400 nm光谱范围内对三维同步荧光指纹图谱与三维同步荧光光谱进行分析,确定检测鸭蛋蛋清中的金霉素含量的最佳波长差△λ为70 nm;然后对原始的同步荧光光谱进行一阶导数预处理,并用联合区间偏最小二乘法(siPLS)结合遗传算法(GA)优选出11个特征波长;最后应用支持向量回归(SVR)建立了鸭蛋蛋清中的金霉素含量的预测模型,其模型预测集的决定系数(R2)和预测均方根误差(RMSEP)分别为0.973 mg/L和1.501 1 mg/L。试验结果表明,本研究方法能够满足鸭蛋蛋清中金霉素残留含量快速测定要求。
To achieve the rapid prediction of aureomycin contents in duck egg white and improve the ac- curacy of prediction model, the prediction model of aureomycin content in duck egg white was developed with derivative synchronous fluorescence method and support vector regression (SVR). Firstly, three-dimensional synchronous fluorescence fingerprints and three-dimensional synchronous fluorescence speetroseopies within 280 -400 nm were analysed, and 70 nm was selected as the optimum wavelength difference. Secondly, 11 characteristic wavelengths were selected combined with siPLS and GA. Lastly, 11 characteristic wavelengths were used to build prediction model applied by SVR. The determination coefficient (R2) and the root mean squared error of prediction (RMSEP) for prediction model were 0.973 and 1. 501 1 mg/L, respectively. The experimental results showed that the research method in the paper could satisfy the request of determination of aureomycin content in duck egg white.
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2013年第1期189-194,共6页
Acta Agriculturae Universitatis Jiangxiensis
基金
国家自然科学基金项目(31101295)
国家高技术研究与发展计划(863计划)项目(2008AA10Z209)
教育部新世纪优秀人才计划(NCET-09-D168)
江西省教育厅科技项目(GJJ12244)
南方农业机械与装备关键技术省部共建教育部重点实验室开放研究课题
关键词
金霉素
导数同步荧光法
特征波长
支持向量回归
蛋清
aureomycin
derivative synchronous fluorescence method
characteristic wavelength
supportvector regression (SVR)
egg white