Evidence map›Paper›PMID 39839112›Full record

ArticleFrontiers in microbiology2024

Effective semi-fed-batch saccharification with high lignocellulose loading using co-culture of

Sreyneang Nhim, Sirilak Baramee, Chakrit Tachaapaikoon, Patthra Pason, Khanok Ratanakhanokchai, Ayaka Uke, Ruben Michael Ceballos, Akihiko Kosugi, Rattiya Waeonukul

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. 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. The role of AdhE mutations inJournal of bacteriology · 2025
    Article
  2. 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

9 authors.

Sreyneang NhimEnzyme Technology Laboratory, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.
Sirilak BarameeExcellent Center of Enzyme Technology and Microbial Utilization, Pilot Plant Development and Training Institute (PDTI), King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.
Chakrit TachaapaikoonEnzyme Technology Laboratory, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.
Patthra PasonEnzyme Technology Laboratory, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.
Khanok RatanakhanokchaiEnzyme Technology Laboratory, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.
Ayaka UkeBiological Resources and Post-harvest Division, Japan International Research Center for Agricultural Sciences (JIRCAS), Ibaraki, Japan.
Ruben Michael CeballosMolecular and Cell Biology Department, School of Natural Sciences, University of California, Merced, Merced, CA, United States.
Akihiko KosugiBiological Resources and Post-harvest Division, Japan International Research Center for Agricultural Sciences (JIRCAS), Ibaraki, Japan.
Rattiya WaeonukulEnzyme Technology Laboratory, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maximizing saccharification efficiency of lignocellulose and minimizing the production costs associated with enzyme requirements are crucial for sustainable biofuel production. This study presents a novel semi-fed-batch saccharification method that uses a co-culture of

Indexed as

Clostridium thermocellumco-culturelignocellulosesaccharificationsemi-fed-batchThermobrachium celere

Identifiers

PMID39839112
PMCPMC11747163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.