Cover Feature: Parameter and state estimation of backers yeast cultivation with a gas sensor array and unscented Kalman filter.


Journal

Engineering in life sciences
ISSN: 1618-0240
Titre abrégé: Eng Life Sci
Pays: Germany
ID NLM: 101193313

Informations de publication

Date de publication:
Mar 2021
Historique:
entrez: 15 3 2021
pubmed: 16 3 2021
medline: 16 3 2021
Statut: epublish

Résumé

DOI: 10.1002/elsc.202000058 Successful operation, control and optimization of biotechnological process depend on reliable real-time available measurements of the process variables. Although some hardware sensors are readily available, they often have several drawbacks: cost, sample destruction, discrete-time measurements, processing delay, sterilization, disturbances in the hydrodynamic conditions inside the bioreactor, etc. It is therefore of interest to use software sensors [29, 30]. The central idea behind a soft sensor is to use easily accessible on-line data for the estimation of other process variables that are either difficult to measure or only measured at low frequency [30]. The figure illustrates a software sensor for on-line monitoring of substrate and biomass production in backers yeast cultivation. For details see article DOI 10.1002/elsc.202000058 on page 169.

Identifiants

pubmed: 33716615
doi: 10.1002/elsc.202170028
pii: ELSC202170028
pmc: PMC7923562
doi:

Types de publication

Journal Article

Langues

eng

Pagination

169

Informations de copyright

© 2021 Wiley‐VCH GmbH.

Auteurs

Classifications MeSH