Authors: WeiLiang Guo YiPing Du YongCan Zhou Shuang Yang JiaHui Lu HongYu Zhao Yao Wang LiRong Teng
Publish Date: 2011/10/09
Volume: 28, Issue: 3, Pages: 993-1002
Abstract
An analytical procedure has been developed for atline fast offline monitoring of 4 key parameters including nisin titer NT the concentration of reducing sugars cell concentration and pH during a nisin fermentation process This procedure is based on near infrared NIR spectroscopy and Partial Least Squares PLS Samples without any preprocessing were collected at intervals of 1 h during fifteen batch of fermentations These fermentation processes were implemented in 3 different 5 l fermentors at various conditions NIR spectra of the samples were collected in 10 min And then PLS was used for modeling the relationship between NIR spectra and the key parameters which were determined by reference methods Monte Carlo Partial Least Squares MCPLS was applied to identify the outliers and select the most efficacious methods for preprocessing spectra wavelengths and the suitable number of latent variables n LV Then the optimum models for determining NT concentration of reducing sugars cell concentration and pH were established The correlation coefficients of calibration set R c were 08255 09000 09883 and 09581 respectively These results demonstrated that this method can be successfully applied to atline monitor of NT concentration of reducing sugars cell concentration and pH during nisin fermentation processes
Keywords: