ArticleBioMed research international2019
Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated
Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 66 citations in OpenAlex.
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- Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens.Journal of fungi (Basel, Switzerland) · 2025Review
- The Optimisation of Bitter Gourd-Grape Beverage Fermentation Using a Consolidated Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Approach.Plants (Basel, Switzerland) · 2023Article
- Application of artificial neural networks for enhancingHeliyon · 2023Article
- A comparative study using response surface methodology and artificial neural network towards optimized production of melanin by Aureobasidium pullulans AKW.Scientific reports · 2023Article
- Colorimetric detection of mercury (Hg3 Biotech · 2023Article
- Innovative biosynthesis, artificial intelligence-based optimization, and characterization of chitosan nanoparticles by Streptomyces microflavus and their inhibitory potential against Pectobacterium carotovorum.Scientific reports · 2022Article
- Modelling of n-Hexadecane bioremediation from soil by slurry bioreactors using artificial neural network method.Scientific reports · 2022Article
- Innovative binary sorption of Cobalt(II) and methylene blue by Sargassum latifolium using Taguchi and hybrid artificial neural network paradigms.Scientific reports · 2022Article
- Optimization of Heavy Metals BiosorptionFrontiers in microbiology · 2022Article
- Evaluation of the Influence of the Combination of pH, Chloride, and Sulfate on the Corrosion Behavior of Pipeline Steel in Soil Using Response Surface Methodology.Materials (Basel, Switzerland) · 2021Article
- Definitive Screening Design and Artificial Neural Network for Modeling a Rapid Biodegradation of Date Palm Fronds by a NewMolecules (Basel, Switzerland) · 2021Article
- Rotatable central composite design versus artificial neural network for modeling biosorption of CrScientific reports · 2021Article
- Optimization of Growth Conditions of Acinetobacter sp. Cr1 for Removal of Heavy Metal Cr Using Central Composite Design.Current microbiology · 2021Article
- Innovative Artificial-Intelligence- Based Approach for the Biodegradation of Feather Keratin byFrontiers in microbiology · 2021Article
- Isolation and Characterization of Pseudomonas sp. Cr13 and Its Application in Removal of Heavy Metal Chromium.Current microbiology · 2020Article
- Computational modelling approach for the optimization of apple juice clarification using immobilized pectinase and xylanase enzymes.Current research in food science · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous technologies and approaches have been used in the past few decades to remove hexavalent chromium (Cr[VI]) in wastewater and the environment. However, these conventional technologies are not economical and efficient in removing Cr(VI) at a very low concentration (1-100 ppm). As an alternative, the utilization of bioremediation techniques which uses the potential of microorganisms could represent an effective technique for the detoxification of Cr(VI). In this study, we reported a newly isolated bacterium identified as
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Registered trials
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