2012
DOI: 10.1002/biot.201100506
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Soft sensors in bioprocessing: A status report and recommendations

Abstract: The following report with recommendations is the result of an expert panel meeting on soft sensor applications in bioprocess engineering that was organized by the Measurement, Monitoring, Modelling and Control (M3C) Working Group of the European Federation of Biotechnology ‐ Section of Biochemical Engineering Science (ESBES). The aim of the panel was to provide an update on the present status of the subject and to identify critical needs and issues for the furthering of the successful development of soft senso… Show more

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Cited by 180 publications
(113 citation statements)
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“…To support laborious and time-consuming physiological characterisation of cells based on sophisticated process control, software-sensors have been established (Brühlmann et al, 2014, Herwig et al, 2001, Jenzsch et al, 2006, Luttmann et al, 2012. Such softwaresensors deliver information on the important real-time variables that characterise a bioprocess (such as concentrations of substrates, products and biomass) and are typically determined off-line, with an expected post-sampling delay of several hours.…”
Section: Approaches To Reduce Experimental Loadmentioning
confidence: 99%
“…To support laborious and time-consuming physiological characterisation of cells based on sophisticated process control, software-sensors have been established (Brühlmann et al, 2014, Herwig et al, 2001, Jenzsch et al, 2006, Luttmann et al, 2012. Such softwaresensors deliver information on the important real-time variables that characterise a bioprocess (such as concentrations of substrates, products and biomass) and are typically determined off-line, with an expected post-sampling delay of several hours.…”
Section: Approaches To Reduce Experimental Loadmentioning
confidence: 99%
“…Integration of sensors is especially important when testing complex process concepts such as ISPR strategies in biocatalysis, as it will enable high-resolution data and minimize disruptions caused by manual sampling. Furthermore, it should be emphasized that the application of soft sensors to predict additional variables of interest enables the use of mechanistic models and parameter estimation on the data in order to validate the models and the experimental setup [93].…”
Section: A Microfluidic Toolbox For Ispr Developmentmentioning
confidence: 99%
“…This fact is because of their flexibility to fit the often nonlinear relationships between the input and output variables in biological processes or systems. [19] Thus, this work aimed to establish a methodology to determine simultaneously several beer-quality attributes based on UV-Vis spectral data from diluted beer samples in conjunction with PCRs or ANNs.…”
Section: Introductionmentioning
confidence: 99%