摘要
Hyaluronic acid(HA)concentration is an important parameter in fermentation process.Cur-rently,carbazole assay is widely used for HA content determination in routine analysis.However,this method is time-consuming,environment polluting and has the risk of microbial contarmi-nation,as well as the results lag behind fermentation process.This paper attempted the feasibility to predict the concentration of HA in fermentation broth by using near infrared(NIR)spec-troscopy in transmission mode.In this work,a total of 56 samples of fermentation broth from 7 batches were analyzed,which contained HA in the range of 2.35-9.69 g/L.Diferent data pre-processing methods were applied to construct calibration models.The final optimal model was obtained with first derivative using Savitzky-Golay smoothing(9 points window,second-order polynomial)and partial least squares(PLS)regression with leave-one-block out CrOsS validation.The correlation cofficient and Root Mean Square Error of prediction set is 0.98 and 0.43 g/L,respetively,which show the possibility of NIR as a rapid method for microanalysis and to be a promising tool for a rapid assay in HA fermentation.
基金
supported by the National Glycoengineering Research Center of China,the 863 program (Hi-tech research and development program of China)under contract No.2012AA021505
the National Training Programs of Innovation and Entrepreneurship for Undergraduates (No.201210422079).
