Evidence map›Paper›PMID 26364635›Full record

ArticleSensors (Basel, Switzerland)2015

Universal Capacitance Model for Real-Time Biomass in Cell Culture.

Viktor Konakovsky, Ali Civan Yagtu, Christoph Clemens, Markus Michael Müller, Martina Berger, Stefan Schlatter, Christoph Herwig

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  4. Bioprocess Engineering for Cultivated Meat.Advances in biochemical engineering/biotechnology · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Viktor KonakovskyInstitute of Chemical Engineering, Division of Biochemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1A 166-4, 1060 Vienna, Austria. vkonakovtuwien@gmail.com.
Ali Civan YagtuInstitute of Chemical Engineering, Division of Biochemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1A 166-4, 1060 Vienna, Austria. civan.yagtu.tuwien@gmail.com.
Christoph ClemensBoehringer Ingelheim Pharma GmbH & Co. KG Department Bioprocess Development, 88400 Biberach, Germany. christoph.clemens@boehringer-ingelheim.com.
Markus Michael MüllerBoehringer Ingelheim Pharma GmbH & Co. KG Department Bioprocess Development, 88400 Biberach, Germany. markus_michael.mueller@boehringer-ingelheim.com.
Martina BergerBoehringer Ingelheim Pharma GmbH & Co. KG Department Bioprocess Development, 88400 Biberach, Germany. martina.berger@boehringer-ingelheim.com.
Stefan SchlatterBoehringer Ingelheim Pharma GmbH & Co. KG Department Bioprocess Development, 88400 Biberach, Germany. stefan.schlatter@boehringer-ingelheim.com.
Christoph HerwigInstitute of Chemical Engineering, Division of Biochemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1A 166-4, 1060 Vienna, Austria. christoph.herwig@tuwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

: Capacitance probes have the potential to revolutionize bioprocess control due to their safe and robust use and ability to detect even the smallest capacitors in the form of biological cells. Several techniques have evolved to model biomass statistically, however, there are problems with model transfer between cell lines and process conditions. Errors of transferred models in the declining phase of the culture range for linear models around +100% or worse, causing unnecessary delays with test runs during bioprocess development. The goal of this work was to develop one single universal model which can be adapted by considering a potentially mechanistic factor to estimate biomass in yet untested clones and scales. The novelty of this work is a methodology to select sensitive frequencies to build a statistical model which can be shared among fermentations with an error between 9% and 38% (mean error around 20%) for the whole process, including the declining phase. A simple linear factor was found to be responsible for the transferability of biomass models between cell lines, indicating a link to their phenotype or physiology.

Indexed as

BiomassElectric CapacitanceModels, BiologicalAnimalsCell Culture TechniquesCHO CellsCricetinaeCricetulusModels, StatisticalcapacitanceCHO cell culturefed batchPLSstatistical model

Identifiers

PMID26364635
PMCPMC4610510

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.