Abstract
Near infrared spectroscopy (NIRS) was used to monitor an industrial bioprocess for the production of the antibiotic, tylosin, using a segmented modelling approach. Models were built over the entire time course of the fermentation from 0 to 150 h, and also in two distinct phases or segments of the bioprocess from 50 to 100 h (synthetic phase) and from 100 to 150 h (stationary phase). All models were validated externally and the performance of the full range and segmented models compared. The standard error of prediction (SEP) of the segmented models was less in both 50–100 h and 100–150 h and the correlation highest in the 50–100 h range. This would suggest that data segmentation is potentially a useful method of accommodating the impact of the pronounced matrix changes which occur in some bioprocesses in NIRS models for key analytes. While there are many reports on bioprocess monitoring using NIRS, there have been no previous studies on the use of segmented NIR models within a bioprocess as a means of accommodating matrix change.
Similar content being viewed by others
References
Ge Z, Cavinato AG, Callis JB (1994) Noninvasive spectroscopy for monitoring cell density in a fermentation process. Anal. Chem. 60: 1354-1362.
Gray PP (1980) Tylosin. J. Ferment. Biotechnol. 83-93.
Hall JW, McNeil B, Rollins MJ, Draper I, Thompson BG, Macaloney G (1996) Near-infrared spectroscopic determination of acetate, ammonium, biomass and glycerol in an industrial Escherichia coli fermentation. Appl. Spectrosc. 50: 102-108.
Hammond SV (1992) NIR analysis of antibiotic fermentation. In: Murray I, Cowe IA, eds. Making Light Work: Advances in Near Infra-Red Spectroscopy. Weinheim: VCH, pp. 584-589.
Karsheva M, Hristov J, Penchev I, Lossev V (1997) Rheological behaviour of fermentation broths in antibiotic industry. Appl. Biochem. Biotechnol. 68: 187-206.
Macaloney G, Hall JW, Rollins MJ, Draper I, Thompson BG, McNeil B (1994) Monitoring biomass and glycerol in an Escherichia coli fermentation using near infrared spectroscopy. Biotechnol. Tech. 8: 281-286.
Martens H, Naes T (1989) Multivariate Calibration. Chichester: John Wiley & Sons.
McShane MJ, Cote GL (1998) Near-Infrared spectroscopy for determination of glucose, lactate and ammonia in cell culture media. Appl. Spectrosc. 52: 1073-1078.
Riley MR, Arnold MA, Murhammer DW (2000) Effect of sample complexity on quantification of analytes in aqueous samples by near infrared spectroscopy. Appl. Spectrosc. 54: 255-261.
Riley MR, Rhiel M, Zhou X, Arnold MA, Murhammer DW (1997) Simultaneous measurement of glucose and glutamine in insect cell culture media by near infrared spectroscopy. Biotechnol. Bioeng. 55: 11-15.
Vaccari G, Dosi E, Campi AL, Gonzalez-Vara A, Matteuzzi D, Mantovani G (1993) A near-infrared spectroscopy technique for the control of fermentation processes: an application to lactic acid fermentation. Biotechnol. Bioeng. 43: 913-917.
Vaidyananthan S, Arnold SA, Matheson L, Mohan P, Macaloney G, McNeil B, Harvey LM (2000) Critical evaluation of models developed for monitoring an industrial submerged bioprocess for antibiotic production using near-infrared spectroscopy. Biotechnol. Prog. ( in press).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Alison Arnold, S., Matheson, L., Harvey, L.M. et al. Temporally segmented modelling: a route to improved bioprocess monitoring using near infrared spectroscopy? . Biotechnology Letters 23, 143–147 (2001). https://doi.org/10.1023/A:1010343828947
Issue Date:
DOI: https://doi.org/10.1023/A:1010343828947