Evidence map›Paper›PMID 33563780›Full record

ArticlemSystems2021

Assessing Biodegradability of Chemical Compounds from Microbial Community Growth Using Flow Cytometry.

B D Özel Duygan, S Rey, S Leocata, L Baroux, M Seyfried, J R van der Meer

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. From microbiome composition to functional engineering, one step at a time.Microbiology and molecular biology reviews : MMBR · 2023
    Review
  2. 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

6 authors at 2 institutions in 1 country.

B D Özel DuyganDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland birgeozel@gmail.com janroelof.vandermeer@unil.ch.
S ReyBiotechnology and Natural Process Development Department, Firmenich SA, Geneva, Switzerland.
S LeocataInnovation in Analytical Chemistry Department, Firmenich SA, Geneva, Switzerland.
L BarouxInnovation in Analytical Chemistry Department, Firmenich SA, Geneva, Switzerland.
M SeyfriedBiotechnology and Natural Process Development Department, Firmenich SA, Geneva, Switzerland.
J R van der MeerDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland birgeozel@gmail.com janroelof.vandermeer@unil.ch.ORCID https://orcid.org/0000-0003-1485-3082
Firmenich (Switzerland) · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compound biodegradability tests with natural microbial communities form an important keystone in the ecological assessment of chemicals. However, biodegradability tests are frequently limited by a singular focus either on the chemical and potential transformation products or on the individual microbial species degrading the compound. Here, we investigated a methodology to simultaneously analyze community compositional changes and biomass growth on dosed test compound from flow cytometry (FCM) data coupled to machine-learned cell type recognition. We quantified the growth of freshwater microbial communities on a range of carbon dosages of three readily biodegradable reference compounds, phenol, 1-octanol, and benzoate, in comparison to three fragrances, methyl jasmonate, myrcene, and musk xylene (as a nonbiodegradable control). Compound mass balances with between 0.1 to 10 mg C · liter

Indexed as

biodegradationflow cytometryfreshwatermachine learningmicrobial communities

Identifiers

PMID33563780
PMCPMC7883543
OpenAlexW3127225173

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.