Evidence map›Paper›PMID 27111912›Full record

ArticleBiotechnology progress2016

Detecting cell lysis using viscosity monitoring in E. coli fermentation to prevent product loss.

Joseph M Newton, Desmond Schofield, Joanna Vlahopoulou, Yuhong Zhou

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology progress, 2016. 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
2.4field-weighted citation impact, top 11% of its field
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, 39 citations in OpenAlex.

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  7. Recombinant Peptide Production SoftensInternational journal of molecular sciences · 2023
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  9. Rheological Behavior of High Cell DensityBioengineering (Basel, Switzerland) · 2019
    Article
  10. Article
  11. Motility and cell shape roles in the rheology of growing bacteria cultures.The European physical journal. E, Soft matter · 2019
    Article
  12. The Rocky Road From Fed-Batch to Continuous Processing WithFrontiers in bioengineering and biotechnology · 2019
    Review
  13. Secretion of recombinant proteins fromEngineering in life sciences · 2018
    Review
  14. Article
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

4 authors at 2 institutions in 1 country.

Joseph M NewtonDept. of Biochemical Engineering, University College London, Gower Street, London, WC1E 6BT, U.K.
Desmond SchofieldDept. of Biochemical Engineering, University College London, Gower Street, London, WC1E 6BT, U.K.
Joanna VlahopoulouResearch & Development, Procellia Ltd, Netpark Incubator, Thomas Wright Way, Sedgefield, County Durham, TS21 3FD, U.K.
Yuhong ZhouDept. of Biochemical Engineering, University College London, Gower Street, London, WC1E 6BT, U.K.
University College London · GBCentre for Process Innovation · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the physical or chemical properties of cell broths to infer cell status is often challenging due to the complex nature of the broth. Key factors indicative of cell status include cell density, cell viability, product leakage, and DNA release to the fermentation broth. The rapid and accurate prediction of cell status for hosts with intracellular protein products can minimise product loss due to leakage at the onset of cell lysis in fermentation. This article reports the rheological examination of an industrially relevant E. coli fermentation producing antibody fragments (Fab'). Viscosity monitoring showed an increase in viscosity during the exponential phase in relation to the cell density increase, a relatively flat profile in the stationary phase, followed by a rapid increase which correlated well with product loss, DNA release and loss of cell viability. This phenomenon was observed over several fermentations that a 25% increase in broth viscosity (using induction-point viscosity as a reference) indicated 10% product loss. Our results suggest that viscosity can accurately detect cell lysis and product leakage in postinduction cell cultures, and can identify cell lysis earlier than several other common fermentation monitoring techniques. This work demonstrates the utility of rapidly monitoring the physical properties of fermentation broths, and that viscosity monitoring has the potential to be a tool for process development to determine the optimal harvest time and minimise product loss. © 2016 The Authors. Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers, 32:1069-1076, 2016.

Indexed as

FermentationCell CountCell SurvivalEscherichia coliImmunoglobulin FragmentsViscosityImmunoglobulin Fragmentscell lysisE. colifermentation process monitoringproduct leakageviscosity

Identifiers

PMID27111912
PMCPMC4999026
OpenAlexW2343849155

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.