Evidence map›Paper›PMID 32895764›Full record

ArticleJournal of industrial microbiology & biotechnology2020

Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes.

Carina L Gargalo, Isuru Udugama, Katrin Pontius, Pau C Lopez, Rasmus F Nielsen, Aliyeh Hasanzadeh, Seyed Soheil Mansouri, Christoph Bayer, Helena Junicke, Krist V Gernaey

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Recent trends in microbial production of alkanes.World journal of microbiology & biotechnology · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Journal of bacteriology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Bacterial Membrane Vesicles for In Vitro Catalysis.Bioengineering (Basel, Switzerland) · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Carina L GargaloProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID http://orcid.org/0000-0002-8740-9591
Isuru UdugamaProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Katrin PontiusProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Pau C LopezProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Rasmus F NielsenProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Aliyeh HasanzadehProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Seyed Soheil MansouriProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Christoph BayerDepartment of Process Engineering, TH Nuremberg, Nuremberg , Germany.
Helena JunickeProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark.
Krist V GernaeyProcess and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark. kvg@kt.dtu.dk.

Funding

Danish Council for Independent Research 7017-00175AEnergy Technology Development and Demonstration Program (EUDP) 64015-0642Greater Copenhagen Food Innovation project (CPH Food), Novozymes, from EUs regional fund (BIOPRO-SMV project) and from Innovation Fund Denmark through the BIOPRO2 4105-00020BNovo Nordisk Fonden (DK) NNF19SA0035474Novo Nordisk Foundation in the frame of the Fermentation-Based Biomanufacturing NNF17SA0031362
6 · The paper itself

Abstract

The biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.

Indexed as

IndustryTechnologyAutomationBig dataBioprocessesControlIndustry 4.0SensorsSmart biomanufacturing

Identifiers

PMID32895764
PMCPMC7695667

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.