Evidence map›Paper›PMID 38862198›Full record

ArticleJournal of industrial microbiology & biotechnology2024

Development of automated metabolite control using mid-infrared probe for bioprocesses and vaccine manufacturing.

Jennifer Reid, Manjit Haer, Airong Chen, Calvin Adams, Yu Chen Lin, Jim Cronin, Zhou Yu, Marina Kirkitadze, Tao Yuan

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Jennifer ReidGlobal Bioprocess Development, Sanofi, Toronto, ON M2R 3T4, Canada.ORCID 0000-0002-7046-5271
Manjit HaerAnalytical Sciences, Sanofi, Toronto, ON M2R 3T4, Canada.
Airong ChenGlobal Bioprocess Development, Sanofi, Toronto, ON M2R 3T4, Canada.
Calvin AdamsGlobal Bioprocess Development, Sanofi, Toronto, ON M2R 3T4, Canada.
Yu Chen LinAnalytical Sciences, Sanofi, Toronto, ON M2R 3T4, Canada.
Jim CroninMettler Toledo, Columbia, MD 21046, USA.
Zhou YuGlobal Bioprocess Development, Sanofi, Toronto, ON M2R 3T4, Canada.
Marina KirkitadzeAnalytical Sciences, Sanofi, Toronto, ON M2R 3T4, Canada.
Tao YuanGlobal Bioprocess Development, Sanofi, Toronto, ON M2R 3T4, Canada.

Funding

Sanofi Vaccines
6 · The paper itself

Abstract

Automation of metabolite control in fermenters is fundamental to develop vaccine manufacturing processes more quickly and robustly. We created an end-to-end process analytical technology and quality by design-focused process by replacing manual control of metabolites during the development of fed-batch bioprocesses with a system that is highly adaptable and automation-enabled. Mid-infrared spectroscopy with an attenuated total reflectance probe in-line, and simple linear regression using the Beer-Lambert Law, were developed to quantitate key metabolites (glucose and glutamate) from spectral data that measured complex media during fermentation. This data was digitally connected to a process information management system, to enable continuous control of feed pumps with proportional-integral-derivative controllers that maintained nutrient levels throughout fed-batch stirred-tank fermenter processes. Continuous metabolite data from mid-infrared spectra of cultures in stirred-tank reactors enabled feedback loops and control of the feed pumps in pharmaceutical development laboratories. This improved process control of nutrient levels by 20-fold and the drug substance yield by an order of magnitude. Furthermore, the method is adaptable to other systems and enables soft sensing, such as the consumption rate of metabolites. The ability to develop quantitative metabolite templates quickly and simply for changing bioprocesses was instrumental for project acceleration and heightened process control and automation. ONE-SENTENCE SUMMARY: Intelligent digital control systems using continuous in-line metabolite data enabled end-to-end automation of fed-batch processes in stirred-tank reactors.

Indexed as

BioreactorsFermentationVaccinesAutomationBatch Cell Culture TechniquesCulture MediaGlucoseGlutamic AcidSpectrophotometry, InfraredCulture MediaGlucoseGlutamic AcidVaccinesAutomation, Mid-infrared spectroscopyBioprocess developmentFermentationProcess analytical technologyProcess information management system

Identifiers

PMID38862198
PMCPMC11187416

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.