Evidence map›Paper›PMID 27681912›Full record

ArticleMicroorganisms2016

Fed-Batch Production of Bacterial Ghosts Using Dielectric Spectroscopy for Dynamic Process Control.

Andrea Meitz, Patrick Sagmeister, Werner Lubitz, Christoph Herwig, Timo Langemann

Abstract read
In one paragraph

Article in Microorganisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Andrea MeitzResearch Center Pharmaceutical Engineering (RCPE) GmbH, Inffeldgasse 13, Graz A-8010, Austria. andrea.meitz@tuwien.ac.at.
Patrick SagmeisterResearch Division Biochemical Engineering, Institute of Chemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1A 166/4, Vienna A-1060, Austria. patrick.sagmeister@exputec.com.
Werner LubitzBiotech Innovation Research Development and Consulting (BIRD-C) GmbH & Co KG, Dr.-Bohr-Gasse 2-8, Vienna A-1030, Austria. werner.lubitz@bird-c.at.
Christoph HerwigResearch Division Biochemical Engineering, Institute of Chemical Engineering, Vienna University of Technology, Gumpendorfer Strasse 1A 166/4, Vienna A-1060, Austria. christoph.herwig@tuwien.ac.at.
Timo LangemannResearch Center Pharmaceutical Engineering (RCPE) GmbH, Inffeldgasse 13, Graz A-8010, Austria. mail@timo-langemann.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Bacterial Ghost (BG) platform technology evolved from a microbiological expression system incorporating the ϕX174 lysis gene E. E-lysis generates empty but structurally intact cell envelopes (BGs) from Gram-negative bacteria which have been suggested as candidate vaccines, immunotherapeutic agents or drug delivery vehicles. E-lysis is a highly dynamic and complex biological process that puts exceptional demands towards process understanding and control. The development of a both economic and robust fed-batch production process for BGs required a toolset capable of dealing with rapidly changing concentrations of viable biomass during the E-lysis phase. This challenge was addressed using a transfer function combining dielectric spectroscopy and soft-sensor based biomass estimation for monitoring the rapid decline of viable biomass during the E-lysis phase. The transfer function was implemented to a feed-controller, which followed the permittivity signal closely and was capable of maintaining a constant specific substrate uptake rate during lysis phase. With the described toolset, we were able to increase the yield of BG production processes by a factor of 8-10 when compared to currently used batch procedures reaching lysis efficiencies >98%. This provides elevated potentials for commercial application of the Bacterial Ghost platform technology.

Indexed as

bacterial ghostscontrol strategydielectric spectroscopyE-lysisonline biomass monitoringprocess analytical technology (PAT)

Identifiers

PMID27681912
PMCPMC5029484

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.