Evidence map›Paper›PMID 31748428›Full record

ArticleMicrobes and environments2019

Pretreatment of Lignocellulosic Biomass with Cattle Rumen Fluid for Methane Production: Fate of Added Rumen Microbes and Indigenous Microbes of Methane Seed Sludge.

Yasunori Baba, Yu Matsuki, Shuhei Takizawa, Yoshihisa Suyama, Chika Tada, Yasuhiro Fukuda, Masanori Saito, Yutaka Nakai

Abstract read
In one paragraph

Article in Microbes and environments, 2019. 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. Article
  2. Frontiers in microbiology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Microbial β-glucanases: production, properties, and engineering.World journal of microbiology & biotechnology · 2023
    Review
  7. Article
  8. Review
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

8 authors.

Yasunori BabaLaboratory of Sustainable Animal Environmental Science, Graduate School of Agricultural Science, Tohoku University.
Yu MatsukiLaboratory of Forest Ecology, Graduate School of Agricultural Science, Tohoku University.
Shuhei TakizawaLaboratory of Sustainable Animal Environmental Science, Graduate School of Agricultural Science, Tohoku University.
Yoshihisa SuyamaLaboratory of Forest Ecology, Graduate School of Agricultural Science, Tohoku University.
Chika TadaLaboratory of Sustainable Animal Environmental Science, Graduate School of Agricultural Science, Tohoku University.
Yasuhiro FukudaLaboratory of Sustainable Animal Environmental Science, Graduate School of Agricultural Science, Tohoku University.
Masanori SaitoLaboratory of Environmental Crop Science, Graduate School of Agricultural Science, Tohoku University.
Yutaka NakaiLaboratory of Sustainable Animal Environmental Science, Graduate School of Agricultural Science, Tohoku University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pretreatment of lignocellulosic substrates with cattle rumen fluid was successfully developed to increase methane production. In the present study, a 16S rRNA gene-targeted amplicon sequencing approach using the MiSeq platform was applied to elucidate the effects of the rumen fluid treatment on the microbial community structure in laboratory-scale batch methane fermenters. Methane production in fermenters fed rumen fluid-treated rapeseed (2,077.3 mL CH

Indexed as

AnimalsBacteriaBiomassBioreactorsBrassica napusCattleFermentationLigninMethaneMicrobiotaRNA, Ribosomal, 16SRumenSewageLigninlignocelluloseMethaneRNA, Ribosomal, 16SSewagebioaugmentationlignocellulosemethane fermentationMiSeqrumen

Identifiers

PMID31748428
PMCPMC6934390

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.