ArticleScientific reports2022
Innovative biosynthesis, artificial intelligence-based optimization, and characterization of chitosan nanoparticles by Streptomyces microflavus and their inhibitory potential against Pectobacterium carotovorum.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing plant growth-promoting bacteria for nanoparticle biosynthesis: a systematic review of mechanisms, agricultural applications, and biomedical potential.Bioprocess and biosystems engineering · 2026Pooled it
- The Effect of Selenium-Arabinogalactan Nanocomposite on Fatty Acid Composition in Soybean Seedlings Grown fromPlants (Basel, Switzerland) · 2026Article
- Innovative mycosynthesis of chitosan nanoparticles via bionanofactory Penicillium crustosum: optimization, characterization, and application against building-deteriorating fungus, Trichosporon asahii.Biotechnology for biofuels and bioproducts · 2026Article
- Biofabrication, statistical optimization, and characterization of collagen nanoparticles synthesized via Streptomyces cell-free system for cancer therapy.Scientific reports · 2025Article
- Bacillus subtilis and chitosan nanoparticles enhance potato virus Y (PVY) tolerance in tomato (Solanum lycopersicum L.) via modulation of antioxidants and secondary metabolites.BMC plant biology · 2025Article
- Anti-QS Strategies AgainstMicroorganisms · 2025Review
- Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens.Journal of fungi (Basel, Switzerland) · 2025Review
- Effect of Selenium, Copper and Manganese Nanocomposites in Arabinogalactan Matrix on Potato Colonization by PhytopathogensPlants (Basel, Switzerland) · 2024Article
- Artificial intelligence-based optimization for extracellular L-glutaminase free L-asparaginase production by Streptomyces violaceoruber under solid state fermentation conditions.Scientific reports · 2024Article
- Article
- Enhanced biosynthesis of coated silver nanoparticles using isolated bacteria from heavy metal soils and their photothermal-based antibacterial activity: integrating Response Surface Methodology (RSM) Hybrid Artificial Neural Network (ANN)-Genetic Algorithm (GA) strategies.World journal of microbiology & biotechnology · 2024Article
- Actinomycetes are a natural resource for sustainable pest control and safeguarding agriculture.Archives of microbiology · 2024Review
- A sustainable green-approach for biofabrication of chitosan nanoparticles, optimization, characterization, its antifungal activity against phytopathogenic Fusarium culmorum and antitumor activity.Scientific reports · 2024Article
- Process optimization for gold nanoparticles biosynthesis by Streptomyces albogriseolus using artificial neural network, characterization and antitumor activities.Scientific reports · 2024Article
- Green synthesis of collagen nanoparticles by Streptomyces xinghaiensis NEAA-1, statistical optimization, characterization, and evaluation of their anticancer potential.Scientific reports · 2024Article
- Artificial neural network approach for prediction of AuNPs biosynthesis by Streptomyces flavolimosus, characterization, antitumor potency in-vitro and in-vivo against Ehrlich ascites carcinoma.Scientific reports · 2023Article
- Green fabrication of chitosan nanoparticles using Lavendula angustifolia, optimization, characterization and in‑vitro antibiofilm activity.Scientific reports · 2023Article
- Artificial intelligence-based optimization for chitosan nanoparticles biosynthesis, characterization and in‑vitro assessment of its anti-biofilm potentiality.Scientific reports · 2023Article
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Abstract
Microbial-based strategy in nanotechnology offers economic, eco-friendly, and biosafety advantages over traditional chemical and physical protocols. The current study describes a novel biosynthesis protocol for chitosan nanoparticles (CNPs), employing a pioneer Streptomyces sp. strain NEAE-83, which exhibited a significant potential for CNPs biosynthesis. It was identified as Streptomyces microflavus strain NEAE-83 based on morphological, and physiological properties as well as the 16S rRNA sequence (GenBank accession number: MG384964). CNPs were characterized by SEM, TEM, EDXS, zeta potential, FTIR, XRD, TGA, and DSC. CNPs biosynthesis was maximized using a mathematical model, face-centered central composite design (CCFCD). The highest yield of CNPs (9.41 mg/mL) was obtained in run no. 27, using an initial pH of 5.5, 1% chitosan, 40 °C, and a 12 h incubation period. Innovatively, the artificial neural network (ANN), was used for validating and predicting CNPs biosynthesis based on the trials data of CCFCD. Despite the high precision degree of both models, ANN was supreme in the prediction of CNPs biosynthesis compared to CCFCD. ANN had a higher prediction efficacy and, lower error values (RMSE, MDA, and SSE). CNPs biosynthesized by Streptomyces microflavus strain NEAE-83 showed in-vitro antibacterial activity against Pectobacterium carotovorum, which causes the potato soft rot. These results suggested its potential application for controlling the destructive potato soft rot diseases. This is the first report on the biosynthesis of CNPs using a newly isolated; Streptomyces microflavus strain NEAE-83 as an eco-friendly approach and optimization of the biosynthesis process by artificial intelligence.
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