Development and testing of a cell-free predictive model against Clostridium acetobutylicum batch fermentation

Theresah N. K. Zu; Sanchao Liu; Elliot S. Gerlach; Christian J. Sund

doi:10.1117/12.2321329

18 September 2018 Development and testing of a cell-free predictive model against Clostridium acetobutylicum batch fermentation

Theresah N. K. Zu, Sanchao Liu, Elliot S. Gerlach, Christian J. Sund

Author Affiliations +

Proceedings Volume 10768, Imaging Spectrometry XXII: Applications, Sensors, and Processing; 107680D (2018) https://doi.org/10.1117/12.2321329
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Previous work has shown Raman spectroscopy, together with statistical modeling, is effective for real-time data acquisition of consumable sugar (glucose) and accumulating products (butyric acid, acetic acid, and butanol) in Clostridium acetobutylicum cultures. Developed partial-least squares (PLS) models were applied to both agitated and static cultures with the former showing preferred modeling parameter values (R²Y = 0.99 and Q²Y = 0.98). Model outputs were comparable to off-line analyzed data from traditional HPLC for new clostridial experimental data through cross-validation. In this study, a cell-free system is explored in which experimental data from HPLC analyzed data for reaction components is used to simulate an 'artificial' fermentation culture devoid of cell activity or enzymes. Immersion probe data is assumed to not account for cell presence or associated activity in the cultures. Raman spectra of specific reaction components: (i) glucose, (ii) butyric acid, (iii) acetic acid, and (iv) butanol, in specified proportions were acquired for corresponding time points. The acquired spectra, together with known concentrations of reaction components, were used to build new sets of PLS models. Original cell-containing models and new cell-free models were run concurrently on new C. acetobutylicum fermentations. Comparison of model output results, suggest better predictability (e.g. Q²Y of 0.98 > Q²Y of 0.79) and less error (RMSECV of 0.98 < RMSECV of 2.76) in butyric acid concentrations for cell-containing models.

Conference Presentation

Citation Download Citation

Theresah N. K. Zu, Sanchao Liu, Elliot S. Gerlach, and Christian J. Sund "Development and testing of a cell-free predictive model against Clostridium acetobutylicum batch fermentation", Proc. SPIE 10768, Imaging Spectrometry XXII: Applications, Sensors, and Processing, 107680D (18 September 2018); https://doi.org/10.1117/12.2321329

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available