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Fermentation process tracking through enhanced spectral calibration modeling

Lookup NU author(s): Dr Sophia Triadaphillou, Professor Elaine Martin, Professor Gary Montague


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The FDA process analytical technology (PAT) initiative will materialize in a significant increase in the number of installations of spectroscopic instrumentation. However, to attain the greatest benefit from the data generated, there is a need for calibration procedures that extract the maximum information content. For example, in fermentation processes, the interpretation of the resulting spectra is challenging as a consequence of the large number of wavelengths recorded, the underlying correlation structure that is evident between the wavelengths and the impact of the measurement environment. Approaches to the development of calibration models have been based on the application of partial least squares (PLS) either to the full spectral signature or to a subset of wavelengths. This paper presents a new approach to calibration modeling that combines a wavelength selection procedure, spectral window selection (SWS), where windows of wavelengths are automatically selected which are subsequendy used as the basis of the calibration model. However, due to the non-uniqueness of the windows selected when the algorithm is executed repeatedly, multiple models are constructed and these are then combined using stacking thereby increasing the robustness of the final calibration model. The methodology is applied to data generated during the monitoring of broth concentrations in an industrial fermentation process from on-line near-infrared (NIR) and mid-infrared (MIR) spectrometers. It is shown that the proposed calibration modeling procedure outperforms traditional calibration procedures, as well as enabling the identification of the critical regions of the spectra with regard to the fermentation process. © 2006 Wiley Periodicals, Inc.

Publication metadata

Author(s): Triadaphillou S, Martin E, Montague G, Norden A, Jeffkins P, Stimpson S

Publication type: Article

Publication status: Published

Journal: Biotechnology and Bioengineering

Year: 2007

Volume: 97

Issue: 3

Pages: 554-567

ISSN (print): 0006-3592

ISSN (electronic): 1097-0290

Publisher: John Wiley & Sons, Inc.


DOI: 10.1002/bit.21248

PubMed id: 17089388


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