ArticleMicrobial cell factories2011
Comparative one-factor-at-a-time, response surface (statistical) and bench-scale bioreactor level optimization of thermoalkaline protease production from a psychrotrophic Pseudomonas putida SKG-1 isolate.
Article in Microbial cell factories, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- Integrated bioprocess optimization of cellulase and xylanase production by Penicillium argillaceum using lignocellulosic agro-industrial residues.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Article
- Harnessing Bacillus inaquosorum AGSP2 for enhancing ω-transaminase production through classical and AI-supported statistical design.Scientific reports · 2026Article
- Effective bioremediation of chromium(VI) by a bacterial consortium for decontamination of Industrial effluents using low-cost substrates.3 Biotech · 2025Article
- Screening and characterization of soil bacteria for lignin and textile dye effluent bioremediation and optimization using response surface methodology.Scientific reports · 2025Article
- Using design of experiments to guide genetic optimization of engineered metabolic pathways.Journal of industrial microbiology & biotechnology · 2024Review
- Optimization of the growth conditions through response surface methodology and metabolomics for maximizing the auxin production byFrontiers in microbiology · 2023Article
- Optimization of chemical conditions for metabolites production byFrontiers in microbiology · 2023Article
- Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production ofMicroorganisms · 2022Article
- Optimization of protease production from Rhizomucor miehei Rm4 isolate under solid-state fermentation.Journal, genetic engineering & biotechnology · 2022Article
- Screening of β -damascenone-producing strains in light-flavorFrontiers in microbiology · 2022Article
- OVAT Analysis and Response Surface Methodology Based on Nutrient Sources for Optimization of Pigment Production in the Marine-Derived FungusMarine drugs · 2021Article
- Article
- Production, medium optimization, and structural characterization of an extracellular polysaccharide produced byFood science & nutrition · 2020Article
- Ameliorating process parameters for zeaxanthin yield in Arthrobacter gandavensis MTCC 25325.AMB Express · 2020Article
- Article
- Removal of Pollutants in Mine Wastewater by a Non-Cytotoxic Polymeric Bioflocculant fromInternational journal of environmental research and public health · 2019Article
- Optimization of novel halophilic lipase production byJournal, genetic engineering & biotechnology · 2018Article
- Bioprospecting of indigenous resources for the exploration of exopolysaccharide producing lactic acid bacteria.Journal, genetic engineering & biotechnology · 2018Article
- Article
- Evaluation of conventional and response surface level optimisation of n-dodecane (n-C12) mineralisation by psychrotolerant strains isolated from pristine soil at Southern Victoria Island, Antarctica.Microbial cell factories · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProduction of alkaline protease from various bacterial strains using statistical methods is customary now-a-days. The present work is first attempt for the production optimization of a solvent stable thermoalkaline protease by a psychrotrophic Pseudomonas putida isolate using conventional, response surface methods, and fermentor level optimization.
resultsThe pre-screening medium amended with optimized (w/v) 1.0% glucose, 2.0% gelatin and 0.5% yeast extract, produced 278 U protease ml(-1) at 72 h incubation. Enzyme production increased to 431 Uml(-1) when Mg2+ (0.01%, w/v) was supplemented. Optimization of physical factors further enhanced protease to 514 Uml(-1) at pH 9.0, 25°C and 200 rpm within 60 h. The combined effect of conventionally optimized variables (glucose, yeast extract, MgSO4 and pH), thereafter predicted by response surface methodology yielded 617 U protease ml(-1) at glucose 1.25% (w/v), yeast extract 0.5% (w/v), MgSO4 0.01% (w/v) and pH 8.8. Bench-scale bioreactor level optimization resulted in enhanced production of 882 U protease ml(-1) at 0.8 vvm aeration and 150 rpm agitation during only 48 h incubation.
conclusionsThe optimization of fermentation variables using conventional, statistical approaches and aeration/agitation at fermentor level resulted in ~13.5 folds increase (882 Uml(-1)) in protease production compared to un-optimized conditions (65 Uml(-1)). This is the highest level of thermoalkaline protease reported so far by any psychrotrophic bacterium.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.