Evidence map›Paper›PMID 33520585›Full record

Article3 Biotech2021

Production of poly-γ-glutamic acid (γ-PGA) from xylose-glucose mixtures by

Jia-Dong Sun, Chen Tang, Jun Zhou, Ping Wei, Ya-Jun Wang, Wei An, Zhi-Ying Yan, Xiao-Yu Yong

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Effects of FeMicrobial cell factories · 2023
    Article
  5. Microorganisms · 2022
    Review
  6. Article
  7. 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

8 authors at 3 institutions in 1 country.

Jia-Dong SunCollege of Biotechnology and Pharmaceutical Engineering, Bioenergy Research Institute, Nanjing Tech University, Nanjing, 211816 China.
Chen TangCollege of Biotechnology and Pharmaceutical Engineering, Bioenergy Research Institute, Nanjing Tech University, Nanjing, 211816 China.
Jun ZhouCollege of Biotechnology and Pharmaceutical Engineering, Bioenergy Research Institute, Nanjing Tech University, Nanjing, 211816 China.
Ping WeiCollege of Biotechnology and Pharmaceutical Engineering, Bioenergy Research Institute, Nanjing Tech University, Nanjing, 211816 China.
Ya-Jun WangWolfberry Engineering Research Institute, Ningxia Academy of Agriculture and Forestry, Yinchuan, 750002 China.
Wei AnWolfberry Engineering Research Institute, Ningxia Academy of Agriculture and Forestry, Yinchuan, 750002 China.
Zhi-Ying YanCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 China.
Xiao-Yu YongCollege of Biotechnology and Pharmaceutical Engineering, Bioenergy Research Institute, Nanjing Tech University, Nanjing, 211816 China.ORCID 0000-0001-7267-6067
Nanjing Tech University · CNNingxia Academy of Agriculture and Forestry Sciences · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the promising applications, the demand to enhance poly-γ-glutamic acid (γ-PGA) production while decreasing the cost has increased in the past decade. Here, xylose/glucose mixture and corncob hydrolysate (CCH) was evaluated as alternatives for γ-PGA production by

Indexed as

Carbon catabolite repression (CCR)Corncob hydrolyte (CCH)Gene transcriptional levelPoly-γ-glutamic acid (γ-PGA)Xylose utilization

Identifiers

PMID33520585
PMCPMC7843781
OpenAlexW3121237828

What OpenQuestion holds

Textmetadata
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.