« Back
Automated Quantitative Analysis of Ethanol, Glucose and NADH in the UV/VIS and Short NIR
Poster Title: Automated Quantitative Analysis of Ethanol, Glucose and NADH in the UV/VIS and Short NIR
Submitted on 20 Dec 2013
Author(s): Gröber Linda, Wenzel Ulla, Princz Sascha, Miller Rudolf, Hessling Martin
Affiliations: University of Applied Sciences Ulm
Poster Views: 1,351
View poster »

Poster Information
Abstract: There is a variety of probes and analytical techniques on the market for monitoring oxygen concentration, pH value, temperature or optical density. But similar automated analytical techniques are currently not available for a continuous measurement of other biotechnologically important substances like glucose, ethanol and NADH. In order to measure these substances directly and automated in the bioreactor, a suitable measurement system is required. For this purpose, in-line absorbance measurements have already been performed in the NIR and MIR. Advantages of these wavelength ranges over the UV/VIS are the stronger absorbance. However, the wavelength range from 400nm to 1000nm is also exciting due to the lower interfering water absorption and the low cost measurement technology based on silicon. Besides it is interesting due to the possible fluorescence of NADH.

The aim of this work will be to clarify whether it is possible to build up a system for automated in-line measurement of bioprocess parameters and to develop a calibration model for a prediction of concentrations via multivariate chemometric algorithms for UV/VIS and short NIR.
Summary: Process Analytical Technology currently becomes more and more important for food and pharmaceutical industry for example because of the increasing demand for more effective and efficient quality control. Therefore it is necessary to get timely and targeted responses of the different parameters in bioprocesses. To attain this aim, it is helpful to replace the conventional (manual) laboratory techniques with automated measuring processes via in-line probe.Report abuse »
Creative Commons

Related Posters

Streamlining Biologics Development with the Expi Expression Systems
Chao Yan Liu, Jian Liu, Wanhua Yan, Kyle Williston, Kenneth Thompson, Maya Yovcheva, Sara Barnes, Mark Bundy, Melissa Cross, Katy Irvin, Joaquín Canay, Mary Reynolds, Natasha Lucki, Henry Chiou, Andrew Campbell, Jonathan Zmuda

Optimized Expression of Membrane Proteins in the Expi293 and ExpiCHO Expression Systems: New Tools for Difficult to Express Proteins
Chao Yan Liu1, Jian Liu1, Wanhua Yan1, Sam Stepnowski1 ,Kyle Williston1, Katy Irvin1, Chetana Revankar2, Natasha Lucki2, Henry Chiou2, Jonathan Zmuda1. Thermo Fisher Scientific, 1Frederick, MD, U.S.A, 2Carlsbad, CA, U.S.A

VITVO: Mimicking In Vivo Complexity By The Innovative 3D Model
Olivia Candini1, Giulia Grisendi1, Elisabetta Manuela Foppiani1, Matteo Brogli1, Beatrice Aramini2, Valentina Masciale3, Carlotta Spano1, Tiziana Petrachi4, Elena Veronesi4, Pierfranco Conte5,6, Giorgio Mari1 & Massimo Dominici1,3

Accelerating high-throughput screening with FirePlex®-HT:An automatable, multiplex immunoassay using FirePlex® Particle Technology
A. Perea, B. Heinrich, W. Austin, C. Rafferty, M. Camilleri, L. To, E. Atabakhsh, and D. Pregibon

Distinct deposition of amyloid-bspecies in brains with Alzheimer’s disease pathology visualized with MALDI imaging mass spectrometry
Nobuto Kakuda1, Tomohiro Miyasaka1, Takashi Nirasawa2, Shigeo Murayama3, Yasuo Ihara1 and Masaya Ikegawa1