AIMC Topic: Fermentation
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The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations.
Biotechnology journal
Aug 11, 2015
Product quality assurance strategies in production of biopharmaceuticals currently undergo a transformation from empirical "quality by testing" to rational, knowledge-based "quality by design" approaches. The major challenges in this context are the ...
Survival and Metabolic Activity of Pediocin Producer Pediococcus acidilactici UL5: Its Impact on Intestinal Microbiota and Listeria monocytogenes in a Model of the Human Terminal Ileum.
Microbial ecology
Jul 11, 2015
Pediococcus acidilactici UL5 is a promising probiotic candidate due to its high survival rate under gastric and duodenal conditions and to its ability to produce the antilisterial bacteriocin pediocin PA-1. Its survival, metabolic activity, and impac...
Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling.
Bioresource technology
Feb 11, 2015
The present investigation was carried out to study application of ANN as a tool for predicting sugar yields of pretreated biomass during hydrolysis process at various time intervals. Since it is known that biomass loading and particle size influences...
Exploring the impact of bioactive peptides from fermented Milk proteins: A review with emphasis on health implications and artificial intelligence integration.
Food chemistry
Jul 30, 2025
This review explores the health benefits of bioactive peptides (BAPs) from fermented milk proteins, emphasizing the transformative role of artificial intelligence (AI) and machine learning (ML) in advancing this field. BAPs exhibit diverse biological...
Promoting lignocellulosic biorefinery by machine learning: progress, perspectives and challenges.
Bioresource technology
Jul 1, 2025
The lignocellulosic biorefinery involves pretreatment, enzymatic hydrolysis, mixed sugar fermentation, and optional anaerobic digestion. This pipeline could be effectively implemented through machine learning (ML)-guided process optimization and stra...
Optimization process of coffee pulp wines combined with the artificial neural network and response surface methodology.
Scientific reports
May 14, 2025
Coffee pulp wine was made from coffee pulp. The level range of fermentation factors was determined by one-factor experiment. The significance factors affecting fermentation were screened by Plackett-Burman and steepest climbing experiments, which wer...
[Optimization of fermentation processes in intelligent biomanufacturing: on online monitoring, artificial intelligence, and digital twin technologies].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
As a strategic emerging industry, biomanufacturing faces core challenges in achieving precise optimization and efficient scale-up of fermentation processes. This review focuses on two critical aspects of fermentation-real-time sensing and intelligent...
[Databases, knowledge bases, and large models for biomanufacturing].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Mar 25, 2025
Biomanufacturing is an advanced manufacturing method that integrates biology, chemistry, and engineering. It utilizes renewable biomass and biological organisms as production media to scale up the production of target products through fermentation. C...
Rapid evaluation of Pixian Douban meju in the tank fermentor Based on the image features and multi-model analysis.
Journal of food science
Mar 1, 2025
Pixian Douban (PXDB) meju is a crucial intermediate product in the PXDB production. In this study, a machine vision system was employed to monitor and evaluate the meju quality quickly to replace the time-consuming chemical methods. The results of co...
Enhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.
Journal of food science
Jan 1, 2025
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with ...
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