Advances in Biotechnological GABA Production: Exploring Microbial Diversity, Novel Food Substrates, and Emerging Market Opportunities

Gamma-aminobutyric acid (GABA) is a non-protein amino acid distributed in nature by different types of organisms and microorganisms. GABA has been widely studied for its different physiological functions and industrial applications. Its production is mainly carried out through fermentation processes using lactic acid bacteria (LAB), which are of particular interest because they are safe and possess high glutamate decarboxylase enzyme activity. However, GABA production can vary among different LAB species and is affected by culture conditions. Therefore, strain development and selection, as well as optimization of fermentation parameters, are essential to increase GABA yields and meet the needs of industrial demand. This review quantitatively analyzes recent advances in fermentative GABA production, showing a sustained increase in publications and a predominance of chromatography-based quantification methods (approximately 68%), mainly using pre-column derivatization. Optimized fermentation strategies, supported by statistical and artificial intelligence models, have achieved GABA concentrations of up to 90 mM. In parallel, in silico genomic and metabolic analyses revealed the widespread distribution of key GABA biosynthesis and transport genes among LAB, supporting their selection and engineering. Overall, the integration of advanced analytical methods, bioinformatics-guided strain selection, and computational process optimization emerges as a key strategy to enhance GABA productivity and support future industrial-scale applications.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-12-27
DOI
https://doi.org/10.3390/ijms27010306
Primary Topic
GABA and Rice Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances in Biotechnological GABA Production: Exploring Microbial Diversity, Novel Food Substrates, and Emerging Market Opportunities

Luz Deisy Marín-Palacio, Catalina Giraldo-Estrada, Fabian Hernández-Tenorio, Bernadette Klotz-Ceberio et al.
International Journal of Molecular Sciences
GABA and Rice Research
article

Advances in Biotechnological GABA Production: Exploring Microbial Diversity, Novel Food Substrates, and Emerging Market Opportunities

Luz Deisy Marín-Palacio, Catalina Giraldo-Estrada, Fabian Hernández-Tenorio, Bernadette Klotz-Ceberio, Mateo Mejía-Rúa, David Orrego
article en

Abstract

Gamma-aminobutyric acid (GABA) is a non-protein amino acid distributed in nature by different types of organisms and microorganisms. GABA has been widely studied for its different physiological functions and industrial applications. Its production is mainly carried out through fermentation processes using lactic acid bacteria (LAB), which are of particular interest because they are safe and possess high glutamate decarboxylase enzyme activity. However, GABA production can vary among different LAB species and is affected by culture conditions. Therefore, strain development and selection, as well as optimization of fermentation parameters, are essential to increase GABA yields and meet the needs of industrial demand. This review quantitatively analyzes recent advances in fermentative GABA production, showing a sustained increase in publications and a predominance of chromatography-based quantification methods (approximately 68%), mainly using pre-column derivatization. Optimized fermentation strategies, supported by statistical and artificial intelligence models, have achieved GABA concentrations of up to 90 mM. In parallel, in silico genomic and metabolic analyses revealed the widespread distribution of key GABA biosynthesis and transport genes among LAB, supporting their selection and engineering. Overall, the integration of advanced analytical methods, bioinformatics-guided strain selection, and computational process optimization emerges as a key strategy to enhance GABA productivity and support future industrial-scale applications.

International Journal of Molecular SciencesVol. 27(1)
Centro de Investigación en Alimentación y Desarrollo (MX), Universidad EAFIT (CO)
Universidad EAFIT
Openalex Percentile: Top 24%
GABA and Rice Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.