Evidence map›Paper›PMID 35713813›Full record

ArticleArchives of microbiology2022

A novel strain of Stenotrophomonas acidaminiphila produces thermostable alkaline peptidase on agro-industrial wastes: process optimization, kinetic modeling and scale-up.

Atim Asitok, Maurice Ekpenyong, Iquo Takon, Sylvester Antai, Nkpa Ogarekpe, Richard Antigha, Philomena Edet, Agnes Antai, Joseph Essien

Abstract read
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In one paragraph

Article in Archives of microbiology, 2022. 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
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Atim AsitokEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Maurice EkpenyongEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria. maurygg2002@yahoo.com.ORCID http://orcid.org/0000-0001-9601-5546
Iquo TakonIndustrial Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Sylvester AntaiEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Nkpa OgarekpeEnvironmental Engineering Unit, Department of Civil Engineering, Faculty of Engineering, Cross River University of Technology, Calabar, Nigeria.
Richard AntighaEnvironmental Engineering Unit, Department of Civil Engineering, Faculty of Engineering, Cross River University of Technology, Calabar, Nigeria.
Philomena EdetEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Biological Sciences, University of Calabar, Calabar, Nigeria.
Agnes AntaiDepartment of Economics, Faculty of Social Sciences, University of Calabar, Calabar, Nigeria.
Joseph EssienEnvironmental Microbiology and Biotechnology Unit, Department of Microbiology, Faculty of Sciences, University of Uyo, Uyo, Nigeria.
University of Calabar · NGUniversity of Cross River State · NGUniversity of Uyo · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial alkaline peptidases, especially from Bacillus species, occupy the frontline in global enzyme market, albeit with poor production economics. Here, we report the deployment of response surface methodology approximations to optimize fermentation parameters for enhanced yield of alkaline peptidase by the non-Bacillus bacterium; Stenotrophomonas acidaminiphila. Shake flask production under optimized conditions was scaled up in a 5-L bench-scale bioreactor. Logistic and modified Gompertz models revealed significant fits for biomass formation, total protein, and substrate consumption models. Maximum specific growth rate (µ

Indexed as

Cysteine EndopeptidasesIndustrial WasteFermentationHydrogen-Ion ConcentrationStenotrophomonasTemperaturealkaline peptidaseCysteine EndopeptidasesIndustrial WasteAlkaline peptidaseKinetic modelingResponse surface optimizationStenotrophomonas acidaminiphilaSustainable environmental pollution abatement

Identifiers

PMID35713813
OpenAlexW4283018709

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.