Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Environmental Applications of Microorganisms

Environmental Applications of Microorganisms

Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Enhanced production of mycelium biomass and exopolysaccharides of Pleurotus ostreatus by integrating response surface methodology and artificial neural network.

Bioresource technology·2024

Same author

An insight into the nutritional and medicinal value of edible mushrooms: A natural treasury for human health.

Journal of biotechnology·2024

Same author

Flexible ultra-sensitive and resistive NO<sub>2</sub> gas sensor based on nanostructured Zn<sub>(</sub>Fe<sub>(1-</sub>O<sub>4</sub>.

RSC advances·2022

Same author

l-Asparaginase production in rotating bed reactor from <i>Rhizopus microsporus</i> IBBL-2 using immobilized Ca-alginate beads.

3 Biotech·2019

Same author

Microbes Producing L-Asparaginase free of Glutaminase and Urease isolated from Extreme Locations of Antarctic Soil and Moss.

Scientific reports·2019

Same author

Resistive room temperature LPG sensor based on a graphene/CdO nanocomposite.

Mikrochimica acta·2019

Search research articles

Related Experiment Video

Updated: Feb 23, 2026

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Published on: June 6, 2025

Different methodologies for sustainability of optimization techniques used in submerged and solid state fermentation.

Anup Ashok¹, Devarai Santhosh Kumar¹

¹Industrial Bioprocess and BioProspecting Laboratory (IBBL), Department of Chemical Engineering, Room No: 530, Hostel Block E, Indian Institute of Technology, Hyderabad, Kandi, Medak (Dist), Sangareddy, 502285 Telangana India.

|September 9, 2017

Summary

This study explores optimization techniques, including statistical, nature-inspired, and artificial neural networks, for enhancing submerged fermentation (SmF) and solid-state fermentation (SSF) processes. The research aims to improve secondary metabolite production, exemplified by l-Asparaginase, for laboratory and industrial applications.

Keywords:

Optimization Scale-up Solid state fermentation Submerged fermentation l-Asparaginase

More Related Videos

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol

Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol

Published on: October 24, 2016

Related Experiment Videos

Last Updated: Feb 23, 2026

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Published on: June 6, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol

Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol

Published on: October 24, 2016

Area of Science:

Biotechnology and Biochemical Engineering
Computational Biology
Industrial Microbiology

Background:

Optimization is crucial for biological processes, mimicking natural adaptation.
Various techniques exist, including statistical, nature-inspired, and artificial neural networks.
Fermentation processes like submerged fermentation (SmF) and solid-state fermentation (SSF) require efficient optimization for metabolite production.

Purpose of the Study:

To review and discuss various optimization techniques applicable to SmF and SSF.
To evaluate the computational effectiveness and applicability of these methods.
To highlight their role in secondary metabolite production, using l-Asparaginase as a case study.

Main Methods:

Categorization of optimization techniques (statistical, nature-inspired, artificial neural network).
Analysis of subcategories and their computational efficiency.
Case study on l-Asparaginase production using SmF and SSF models.

Main Results:

Different optimization techniques offer unique benefits for specific applications.
The study provides insights into the applicability of these methods for secondary metabolite production.
l-Asparaginase production via SmF and SSF is discussed as an example.

Conclusions:

Selection of appropriate optimization techniques can significantly improve process efficiency and output.
These methods are valuable for both laboratory-scale research and industrial applications.
Optimization can lead to reduced process times and enhanced yields in fermentation.