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

Microbial Fermentation

Microbial Fermentation

Fermentation is a crucial anaerobic metabolic process that enables microbes to derive energy from sugar without relying on oxygen or an electron transport chain. This process is fundamental to various biological and industrial applications and is classified based on the metabolic products generated.Role of Pyruvate in FermentationPyruvate and its derivatives serve as key electron acceptors in fermentative pathways. The oxidation of NADH to regenerate NAD+ is essential for the continuation of...

Bioreactor Controls-III

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...

Scale-Up Processes

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...

Upstream Processing

Upstream Processing

Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...

iChip

iChip

The cultivation of environmental microorganisms has long been hindered by the inability to replicate complex native conditions in vitro. The isolation chip (iChip) addresses this limitation by facilitating the growth of previously uncultivable microorganisms through in situ incubation. Designed for high-throughput microbial cultivation, the iChip comprises hundreds of microchambers, each capable of housing a single microbial cell. These microchambers are loaded with a mixture of molten agar and...

Automated Microbial Diagnostics

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

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

Sort by

Same author

Switching from insertion to conversion for multielectron aqueous vanadium batteries.

Nature materials·2026

Same author

Genome-Scale Metabolic Modeling of Terpenoid Biosynthesis: Advances and Perspectives.

Journal of agricultural and food chemistry·2026

Same author

Therapeutic potential of ELABELA in alleviating hereditary hypertrophic cardiomyopathy.

Journal of advanced research·2026

Same author

Tmem67 Is Required for Spermiogenesis and Male Fertility in Mice.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026

Same author

Establishment of a rapid and highly sensitive direct-RAA-RDB detection platform: application in non-deletion α-thalassemia.

Frontiers in molecular biosciences·2026

Same author

Synergistic Regulation of Interfacial Potential and Anionic Covalency for High-Voltage Cobalt-Free All-Solid-State Batteries.

Angewandte Chemie (International ed. in English)·2026

Search research articles

Related Experiment Video

Updated: Apr 9, 2026

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

Machine Learning Empowering Microbial Cell Factory: A Comprehensive Review.

Dechun Kong¹, Jinyi Qian², Cong Gao³

¹School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, People's Republic of China.

Applied Biochemistry and Biotechnology

|May 21, 2025

Summary

Machine learning and synthetic biology are revolutionizing biomanufacturing, enhancing microbial cell factories for chemical production, health, and environmental solutions. This review explores their synergistic potential for future biotechnology innovation.

Keywords:

Biomanufacturing Database Machine learning Microbial cell factory Synthetic biology Toolbox

More Related Videos

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Published on: September 28, 2018

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

Related Experiment Videos

Last Updated: Apr 9, 2026

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

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells

Published on: September 28, 2018

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

Area of Science:

Biotechnology
Synthetic Biology
Machine Learning
Artificial Intelligence

Background:

Machine learning (ML) applications are expanding in biological manufacturing.
The integration of ML with synthetic biology offers significant potential for microbial cell factory enhancement.
This synergy creates value for upgrading biomanufacturing processes.

Purpose of the Study:

To review the synergistic relationship between ML and synthetic biology in biotechnology.
To explore databases, toolboxes, and ML models relevant to this intersection.
To examine applications in chemical production, human health, and environmental remediation.

Main Methods:

Literature review of ML and synthetic biology integration.
Exploration of relevant databases and computational toolboxes.
Analysis of ML-derived models and their applications.

Main Results:

Identified key synergies between ML and synthetic biology.
Cataloged relevant resources including databases and toolboxes.
Detailed successful applications in chemical production, human health, and environmental remediation.

Conclusions:

The combination of ML and synthetic biology presents significant opportunities for biomanufacturing innovation.
Successful integrations highlight the potential for advancements in various sectors.
Provides guidance for future research at the intersection of biomanufacturing and AI.