Artificial neural network for bioprocess monitoring based on fluorescence measurements: Training without offline measurements

Author:

Paquet-Durand Olivier1ORCID,Assawarajuwan Supasuda1,Hitzmann Bernd1

Affiliation:

1. Department of Process Analytics and Cereal Science; Institute of Food Science and Biotechnology; University of Hohenheim; Stuttgart Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Bioengineering,Environmental Engineering,Biotechnology

Reference16 articles.

1. Future aspects of bioprocess monitoring;Becker;Adv. Biochem. Eng. Biotechnol.,2007

2. In situ fluorescence cell mass measurements of Saccharomyces cerevisiae using cellular tryptophan;Horvath;Biotechnol. Prog.,1993

3. In-situ-fluorescence-probes: a useful tool for non-invasive bioprocess monitoring;Stark;Adv. Biochem. Eng. Biotechnol.,2002

4. Fluorescence spectroscopy and chemometric modeling for bioprocess monitoring;Faassen;Sensors,2015

5. Data-driven soft sensors in the process industry;Kadlec;Comput. Chem. Eng.,2009

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