Optimization of Chemical Defined Medium for <i>Lactobacillus brevis</i> Based on Artificial Intelligence

Determine the requirements of <i>Lactobacillus brevis</i> growth for various types of amino acids, vitamins, and nucleotides.A combination of artificial intelligence algorithms and Growth Profiler 960 (GP960) equipment is used to optimize the medium at high throughput.No restrictions are placed on the factors and levels of medium optimization.Compared to complex medium, the components of the synthetic medium for <i>Lactobacillus brevis</i> are clearer and less expensive.

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Publication Details

Journal
Engineering in Life Sciences
Published
2025-11-01
DOI
https://doi.org/10.1002/elsc.70051
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization of Chemical Defined Medium for Lactobacillus brevis Based on Artificial Intelligence

Yu Chang, Jianye Xia, Xu Yang, Xiaoqing Ren
Engineering in Life Sciences
Machine Learning in Bioinformatics
article

Optimization of Chemical Defined Medium for Lactobacillus brevis Based on Artificial Intelligence

Yu Chang, Jianye Xia, Xu Yang, Xiaoqing Ren
article en

Abstract

Determine the requirements of <i>Lactobacillus brevis</i> growth for various types of amino acids, vitamins, and nucleotides.A combination of artificial intelligence algorithms and Growth Profiler 960 (GP960) equipment is used to optimize the medium at high throughput.No restrictions are placed on the factors and levels of medium optimization.Compared to complex medium, the components of the synthetic medium for <i>Lactobacillus brevis</i> are clearer and less expensive.

Engineering in Life SciencesVol. 25(11)
Tianjin Agricultural University (CN), Tianjin University of Science and Technology (CN), Tianjin Institute of Industrial Biotechnology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 69%
Machine Learning in Bioinformatics
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Optimization of Chemical Defined Medium for <i>Lactobacillus brevis</i> Based on Artificial Intelligence — Yu Chang, Jianye Xia, et al. · Engineering in Life Sciences (2025) | TGRS Research Map | TGRS