Evidence map›Paper›PMID 33343535›Full record

ArticleFrontiers in microbiology2020

Ecogenomics-Based Mass Balance Model Reveals the Effects of Fermentation Conditions on Microbial Activity.

Jinha Kim, Ran Mei, Fernanda P Wilson, Heyang Yuan, Benjamin T W Bocher, Wen-Tso Liu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. 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
–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

2 citing papers in PubMed.

  1. Animals : an open access journal from MDPI · 2025
    Article
  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.

Jinha KimDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States.
Ran MeiDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States.
Fernanda P WilsonDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States.
Heyang YuanDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States.
Benjamin T W BocherBritish Petroleum America, Petrochemicals Technology, Naperville, IL, United States.
Wen-Tso LiuDepartment of Civil and Environmental Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fermentation of waste activated sludge (WAS) is an alternative approach to reduce solid wastes while providing valuable soluble products, such as volatile fatty acids and alcohols. This study systematically identified optimal fermentation conditions and key microbial populations by conducting two sets of experiments under different combinations of biochemical and physical parameters. Based on fermentation product concentrations, methane production, and solid removal, fermentation performance was enhanced under the combined treatments of inoculum heat shock (>60°C), pH 5, 55°C, and short solid retention time (<10 days). An ecogenomics-based mass balance (EGMB) approach was used to determine the net growth rates of individual microbial populations, and classified them into four microbial groups: known syntrophs, known methanogens, fermenters, and WAS-associated populations. Their growth rates were observed to be affected by the treatment conditions. The growth rates of syntrophs and fermenters, such as

Indexed as

ecogenomicsfermentationmass balancemicrobial activitywasted activated sludge

Identifiers

PMID33343535
PMCPMC7738435

What OpenQuestion holds

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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.