AIMC Topic: Fermentation
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Deep learning enabled rapid classification of yeast species in food by imaging of yeast microcolonies.
Food research international (Ottawa, Ont.)
Dec 30, 2024
Diverse species of yeasts are commonly associated with food and food production environments. The contamination of food products by spoilage yeasts poses significant challenges, leading to quality degradation and food loss. Similarly, the introductio...
Recent advances in dark fermentative hydrogen production from vegetable waste: role of inoculum, consolidated bioprocessing, and machine learning.
Environmental science and pollution research international
Dec 6, 2024
Waste-centred-bioenergy generation have been garnering interest over the years due to environmental impact presented by fossil fuels. Waste generation is an unavoidable consequence of urbanization and population growth. Sustainable waste management t...
Machine learning-enhanced modeling and characterization for optimizing dietary Fiber production from Highland barley bran.
International journal of biological macromolecules
Nov 14, 2024
This study investigated the modification of highland barley bran through co-fermentation of Lactobacillus bulgaricus and Kluyveromyces marxianus, and developed a dynamic prediction model for DF content under these co-fermentation conditions using mac...
A comprehensive review on the application of neural network model in microbial fermentation.
Bioresource technology
Nov 10, 2024
The development of high-performance strains and the continuous breakthrough of strain screening technology also pose challenges to downstream fermentation optimization and scale-up. Therefore, neural network models are utilized to optimize the fermen...
Applying machine learning and genetic algorithms accelerated for optimizing ethanol production.
The Science of the total environment
Oct 20, 2024
Corn straws can produce bioethanol via simultaneous saccharification and co-fermentation (SSCF). However, identifying optimal combinations of operating parameters from numerous possibilities through a cost-effective strategy to improve SSCF efficienc...
BioTRY: A Comprehensive Knowledge Base for Titer, Rate, and Yield of Biosynthesis.
ACS synthetic biology
Oct 18, 2024
Synthetic biology is rapidly evolving into a data-intensive science that increasingly relies on massive data sets; one of its applications is the evaluation of the economic viability of fermentation processes. However, the key economic indicators, na...
Predicting Lactobacillus delbrueckii subsp. bulgaricus-Streptococcus thermophilus interactions based on a highly accurate semi-supervised learning method.
Science China. Life sciences
Oct 14, 2024
Lactobacillus delbrueckii subsp. bulgaricus (L. bulgaricus) and Streptococcus thermophilus (S. thermophilus) are commonly used starters in milk fermentation. Fermentation experiments revealed that L. bulgaricus-S. thermophilus interactions (LbStI) su...
Explainable machine learning-driven predictive performance and process parameter optimization for caproic acid production.
Bioresource technology
Aug 19, 2024
In this study, four machine learning (ML) prediction models were developed to predict and optimize the production performance of caproic acid based on substrates, products, and process parameters. The XGBoost outperformed others, with a high R of 0.9...
Lightweight CNN combined with knowledge distillation for the accurate determination of black tea fermentation degree.
Food research international (Ottawa, Ont.)
Aug 18, 2024
Black tea is the second most common type of tea in China. Fermentation is one of the most critical processes in its production, and it affects the quality of the finished product, whether it is insufficient or excessive. At present, the determination...
Reinforcement learning based temperature control of a fermentation bioreactor for ethanol production.
Biotechnology and bioengineering
Jun 27, 2024
Ethanol production is a significant industrial bioprocess for energy. The primary objective of this study is to control the process reactor temperature to get the desired product, that is, ethanol. Advanced model-based control systems face challenges...
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