Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production

The fermentation process is dynamically changing, and the metabolic status can be grasped through real-time monitoring of environmental parameters. In this study, a real-time and on-line monitoring experiment platform for substrates and products detection was developed based on non-contact type near...

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Bibliographic Details
Main Authors: Haoyue, Z. (Author), jinsong, L. (Author), Ju, C. (Author), Lingli, C. (Author), Meijin, G. (Author), Xiaofeng, L. (Author), Xiaojun, T. (Author), Xiwei, T. (Author), Xu, L. (Author), Yang, C. (Author), Yingping, Z. (Author), Zhongbing, C. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02597nam a2200325Ia 4500
001 10.1186-s40643-021-00452-9
008 220427s2021 CNT 000 0 und d
020 |a 21974365 (ISSN) 
245 1 0 |a Application of near-infrared spectroscopy technology in the complex fermentation system to achieve high-efficiency production 
260 0 |b Springer Science and Business Media Deutschland GmbH  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s40643-021-00452-9 
520 3 |a The fermentation process is dynamically changing, and the metabolic status can be grasped through real-time monitoring of environmental parameters. In this study, a real-time and on-line monitoring experiment platform for substrates and products detection was developed based on non-contact type near-infrared (NIR) spectroscopy technology. The prediction models for monitoring the fermentation process of lactic acid, sophorolipids (SLs) and sodium gluconate (SG) were established based on partial least-squares regression and internal cross-validation methods. Through fermentation verification, the accuracy and precision of the NIR model for the complex fermentation environments, different rheological properties (uniform system and multi-phase inhomogeneous system) and different parameter types (substrate, product and nutrients) have good applicability, and R2 was greater than 0.98, exhibiting a good linear relationship. The root mean square error of prediction shows that the model has high credibility. Through the control of appropriate glucose concentration in SG fermentation as well as glucose and oil concentrations SLs fermentation by NIR model, the titers of SG and SLs were increased to 11.8% and 26.8%, respectively. Although high cost of NIR spectrometer is a key issue for its wide application in an industrial scale. This work provides a basis for the application of NIR spectroscopy in complex fermentation systems. [Figure not available: see fulltext.]. © 2021, The Author(s). 
650 0 4 |a Lactic acid 
650 0 4 |a Near-infrared spectroscopy 
650 0 4 |a On-line 
650 0 4 |a Sodium gluconate 
650 0 4 |a Sophorolipids 
700 1 |a Haoyue, Z.  |e author 
700 1 |a jinsong, L.  |e author 
700 1 |a Ju, C.  |e author 
700 1 |a Lingli, C.  |e author 
700 1 |a Meijin, G.  |e author 
700 1 |a Xiaofeng, L.  |e author 
700 1 |a Xiaojun, T.  |e author 
700 1 |a Xiwei, T.  |e author 
700 1 |a Xu, L.  |e author 
700 1 |a Yang, C.  |e author 
700 1 |a Yingping, Z.  |e author 
700 1 |a Zhongbing, C.  |e author 
773 |t Bioresources and Bioprocessing