Evidence map›Paper›PMID 33457169›Full record

Article3 Biotech2021

Optimization of iturin A production from

Hua Yue, Juan Zhong, Zhemin Li, Jinyan Zhou, Jie Yang, Hongfei Wei, Dan Shu, Di Luo, Hong Tan

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
1.7field-weighted citation impact, top 16% 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, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Enhanced iturin a production in a two-compartment biofilm reactor byFrontiers in bioengineering and biotechnology · 2023
    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

9 authors at 3 institutions in 1 country.

Hua YueCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Juan ZhongCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Zhemin LiCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Jinyan ZhouCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Jie YangCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Hongfei WeiSchool of Life Sciences, Shandong, Zaozhuang University, No.1 Beian Road, Zaozhuang, People's Republic of China.
Dan ShuCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Di LuoCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Hong TanCAS Key Laboratory of Environmental and Applied Microbiology, Environmental Microbiology Key Laboratory of Sichuan Province Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.ORCID 0000-0002-6077-5815
Chinese Academy of Sciences · CNChengdu Institute of Biology · CNZaozhuang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this research, single-factor and response surface experiments were conducted in the fed-batch fermentation process to improve the yield of iturin A. The effect of adding various concentrations of precursor amino acids l-asparagine (Asn), l-aspartic acid (Asp), l-glutamic acid (Glu), l-glutamine (Gln), l-Serine (Ser) and l-proline (Pro) at different adding times (3 and 12 h) on iturin A production and cell growth was studied. The respective addition of amino acids (Asp 0.28 g/L; Asn 0.36 g/L; Glu 0.20, 0.28 and 0.360 g/L; Gln 0.20, 0.28 and 0.36 g/L; Pro 0.12, 0.20, 0.28 and 0.36 g/L) at 3 h was shown to improve cell growth but did not affect the yield of iturin A. Meanwhile, the individual addition of the same amino acids at 12 h improved cell growth and increased the yield of iturin A. Excellent correlation was obtained between the predicted and measured values, suggesting that the regression model was accurate and reliable; highly significant (P < 0.0001), and the determination coefficient (R ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13205-020-02540-7) contains supplementary material, which is available to authorized users.

Indexed as

Bacillus subtilisIturin APrecursor amino acidsResponse surface methodology

Identifiers

PMID33457169
PMCPMC7788149
OpenAlexW3118516953

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.