AIMC Topic: Fermentation

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Bioengineered Enzymes and Precision Fermentation in the Food Industry.

International journal of molecular sciences Jun 15, 2023
Enzymes have been used in the food processing industry for many years. However, the use of native enzymes is not conducive to high activity, efficiency, range of substrates, and adaptability to harsh food processing conditions. The advent of enzyme e...
Artificial Intelligence Fermentation Biomedical Engineering Food-Processing Industry Enzymes Food Handling
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Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm.

Bioresource technology Feb 24, 2023
The main aim of the present study was to establish a relationship model between bio-hydrogen yield and the key operating parameters affecting photo-fermentation hydrogen production (PFHP) from co-substrates. Central composite design-response surface ...
Hydrogen Neural Networks, Computer Fermentation Temperature
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Prediction of ethanol fermentation under stressed conditions using yeast morphological data.

Journal of bioscience and bioengineering Jan 13, 2023
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeast, which shows changes in intracellular state and cell morphology under conditions of high-sugar stress. In this study, we developed artificial intell...
Ethanol Glucose Artificial Intelligence Saccharomyces cerevisiae Fermentation Carbohydrates Sugars
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The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts.

Applied microbiology and biotechnology Dec 28, 2022
BACKGROUND: Monitoring jar fermenter-cultured microorganisms in real time is important for controlling productivity of bioproducts in large-scale cultivation settings. Morphological data is used to understand the growth and fermentation states of the...
Fermentation Yeasts Bioreactors Oils Deep Learning
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Machine learning in fermentative biohydrogen production: Advantages, challenges, and applications.

Bioresource technology Dec 17, 2022
Hydrogen can be produced in an environmentally friendly manner through biological processes using a variety of organic waste and biomass as feedstock. However, the complexity of biological processes limits their predictability and reliability, which ...
Biomass Fermentation Reproducibility of Results Hydrogen Machine Learning
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An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process.

ISA transactions Nov 2, 2022
Accurate and reliable measurement of key biological parameters during penicillin fermentation is of great significance for improving penicillin production. In this research context, a new hybrid soft sensor model method based on RF-IHHO-LSTM (random ...
Random Forest Algorithms Deep Learning Penicillins Fermentation
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Continuous biomanufacturing with microbes - upstream progresses and challenges.

Current opinion in biotechnology Sep 8, 2022
Current biomanufacturing facilities are mainly built for batch or fed-batch operations, which are subject to low productivities and do not achieve the great bioconversion potential of the rewired cells generated via modern biotechnology. Continuous b...
Artificial Intelligence Fermentation Bioreactors Biotechnology Commerce
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Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine.

Preparative biochemistry & biotechnology Jul 11, 2022
Photosynthetic bacteria wastewater treatment is an efficient water pollution treatment method, but photosynthetic bacteria fermentation is a multivariable, non-linear, and time-varying process. So it is difficult to establish an accurate model. Aimin...
Gram-Negative Bacteria Least-Squares Analysis Fermentation Support Vector Machine Algorithms Bacteria
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Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process.

Applied biochemistry and biotechnology May 4, 2022
Marine alkaline protease (MAP) fermentation is a complex multivariable, multi-coupled, and nonlinear process. Some unmeasured parameters will affect the quality of protease. Aiming at the problem that some parameters are difficult to be detected onli...
Bacteria Neural Networks, Computer Algorithms Fermentation Bacterial Proteins Endopeptidases
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Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of .

Sensors (Basel, Switzerland) Nov 17, 2021
The problems that the key biomass variables in fermentation process are difficult measure in real time; this paper mainly proposes a multi-model soft sensor modeling method based on the piecewise affine (PWA) modeling method, which is optimized by p...
Fermentation Support Vector Machine Algorithms Least-Squares Analysis Saccharomycetales
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