AIMC Topic: Microalgae

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Ultrasensitive and robust mechanoluminescent living composites.

Science advances Oct 20, 2023
Mechanosensing, the transduction of extracellular mechanical stimuli into intracellular biochemical signals, is a fundamental property of living cells. However, endowing synthetic materials with mechanosensing capabilities comparable to biological le...
Biomimetics Dinoflagellida Microalgae Robotics Hydrogels
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Modeling of astaxanthin biosynthesis via machine learning, mathematical and metabolic network modeling.

Critical reviews in biotechnology Aug 16, 2023
Natural astaxanthin is synthesized by diverse organisms including: bacteria, fungi, microalgae, and plants involving complex cellular processes, which depend on numerous interrelated parameters. Nonetheless, existing knowledge regarding astaxanthin b...
Machine Learning Microalgae Bacteria Xanthophylls Metabolic Networks and Pathways Models, Biological
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An artificial intelligence approach for identification of microalgae cultures.

New biotechnology Jul 17, 2023
In this work, a model for the characterization of microalgae cultures based on artificial neural networks has been developed. The characterization of microalgae cultures is essential to guarantee the quality of the biomass, and the objective of this ...
Artificial Intelligence Neural Networks, Computer Microalgae Biomass
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Deep learning-based classification of microalgae using light and scanning electron microscopy images.

Micron (Oxford, England : 1993) Jun 28, 2023
Microalgae possess diverse applications, such as food production, animal feed, cosmetics, plastics manufacturing, and renewable energy sources. However, uncontrolled proliferation, known as algal bloom, can detrimentally impact ecosystems. Therefore,...
Animals Ecosystem Deep Learning Microscopy, Electron, Scanning Cell Count Microalgae
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Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction.

Environmental science & technology May 26, 2023
Microalgal biotechnology holds the potential for renewable biofuels, bioproducts, and carbon capture applications due to unparalleled photosynthetic efficiency and diversity. Outdoor open raceway pond (ORP) cultivation enables utilization of sunlight...
Microalgae Biofuels Biomass Deep Learning Ponds Sunlight
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Modeling of carbon dioxide fixation by microalgae using hybrid artificial intelligence (AI) and fuzzy logic (FL) methods and optimization by genetic algorithm (GA).

Environmental science and pollution research international Mar 29, 2022
In this study, we are reporting a novel prediction model for forecasting the carbon dioxide (CO) fixation of microalgae which is based on the hybrid approach of adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA). The CO fixation...
Algorithms Fuzzy Logic Carbon Dioxide Microalgae Artificial Intelligence
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Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity.

Nature communications Jan 27, 2022
Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning t...
Biofuels Synechococcus Renewable Energy Industrial Microbiology Synthetic Biology Biotechnology Machine Learning Metabolic Engineering Microalgae Ponds Photobioreactors Biomass
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A transfer learning approach for predictive modeling of bioprocesses using small data.

Biotechnology and bioengineering Nov 8, 2021
Predictive modeling of new biochemical systems with small data is a great challenge. To fill this gap, transfer learning, a subdomain of machine learning that serves to transfer knowledge from a generalized model to a more domain-specific model, prov...
Kinetics Models, Biological Lutein Chlorophyceae Microalgae Machine Learning Biomass
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Development of an artificial neural network model to simulate the growth of microalga Chlorella vulgaris incorporating the effect of micronutrients.

Journal of biotechnology Feb 22, 2020
Artificial neural network (ANN) models can be trained to simulate the dynamic behavior of biological systems. In the present study, an ANN model was developed upon multilayer perceptron neural network architecture with 23-20-1 configuration to predic...
Cell Culture Techniques Databases, Factual Chlorella vulgaris Temperature Nitrogen Neural Networks, Computer Micronutrients Carbon Dioxide Models, Biological Algorithms Microalgae
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Biocompatible liquid-type carbon nanodots (C-paints) as light delivery materials for cell growth and astaxanthin induction of Haematococcus pluvialis.

Materials science & engineering. C, Materials for biological applications Nov 28, 2019
In this study, we aimed to demonstrate the feasibility of the application of biocompatible liquid type fluorescent carbon nanodots (C-paints) to microalgae by improving microalgae productivity. C-paints were prepared by a simple process of ultrasound...
Carbon Microalgae Photoelectron Spectroscopy Xanthophylls Antioxidants Spectroscopy, Fourier Transform Infrared Humans Animals
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