Evidence map›Paper›PMID 37148337›Full record

ArticleApplied microbiology and biotechnology2023

Application of MALDI-TOF MS for enumerating bacterial constituents of defined consortia.

Michael P Coryell, Rosa L Sava, Jessica L Hastie, Paul E Carlson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
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  8. 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.

Michael P Coryell *Division of Bacterial, Parasitic, and Allergenic Products; Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Rosa L Sava *Division of Bacterial, Parasitic, and Allergenic Products; Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Jessica L HastieDivision of Bacterial, Parasitic, and Allergenic Products; Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Paul E CarlsonDivision of Bacterial, Parasitic, and Allergenic Products; Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA. paul.carlson@fda.hhs.gov.ORCID http://orcid.org/0000-0002-7900-7154

Funding

U.S. Food and Drug Administration internal funding
6 · The paper itself

Abstract

Characterization of live biotherapeutic product (LBP) batches typically includes a measurement of viability, such as colony forming units (CFU). However, strain-specific CFU enumeration assays can be complicated by the presence of multiple organisms in a single product with similar growth requirements. To overcome specific challenges associated with obtaining strain-specific CFU values from multi-strain mixtures, we developed a method combining mass spectrometry-based colony identification with a traditional CFU assay. This method was assessed using defined consortia made from up to eight bacterial strains. Among four replicate batches of an eight-strain mixture, observed values differed from expected values by less than 0.4 log

Indexed as

BacteriaColony Count, MicrobialSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAdvanced manufacturing techniquesBiologicsLive Biotherapeutic ProductsMicrobial Enumeration

Identifiers

PMID37148337
PMCPMC10238304

What OpenQuestion holds

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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.