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Application of NIR Spectroscopy in Detection of Process Parameters for Solid-state Fermentation of Monascus |
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DOI:10.3969/j.issn.1004-4957.年份.月份 |
KeyWord:NIR siLS-SVM LS-SVM Monascus solid-state fermentation moisture content pH value |
Author | Institution |
黄常毅,范海滨,刘飞,许赣荣,彭秀辉 |
1.江南大学轻工过程先进控制教育部重点实验室自动化研究所;2.江南大学工业生物技术教育部重点实验室 |
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Abstract: |
The feasibility of rapid detection of the process parameters such as moisture content and pH value in solid-state fermentation of Monascus was studied by near infrared technique.In view of the traditional wavelength selection methods based on interval strategy ignoring the disadvantages of the nonlinear factors,this paper adopted a new wavelength selection algorithm based on LS-SVM nonlinear model which was named synergy interval least squares support vector machines(siLS-SVM),and the new algorithm was compared with correlation coefficient method,iPLS algorithm and siPLS algorithm.The results showed that the combination of siLS-SVM and LS-SVM model achieved the best prediction result.The prediction correlation coefficients(Rp) of moisture content and pH value were 0.962 1 and 0.976 1,respectively.The root mean square errors for prediction set(RMSEP) were 0.012 9 and 0.145 2,respectively.The obtained results demonstrated that the fitting and the predictive accuracy were satisfactory,and it was feasible to apply NIRS method to fast determination of moisture contents and pH value in solid state fermentation of Monascus.This study provided a technical foundation for the further online detection of process parameters in solid-state fermentation of Monascus and the optimization of fermentation conditions. |
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