Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: A critical review

RK Oruganti, AP Biji, T Lanuyanger, PL Show… - Science of The Total …, 2023 - Elsevier
The increased water scarcity, depletion of freshwater resources, and rising environmental
awareness are stressing for the development of sustainable wastewater treatment …

The role of machine learning to boost the bioenergy and biofuels conversion

Z Wang, X Peng, A Xia, AA Shah, Y Huang, X Zhu… - Bioresource …, 2022 - Elsevier
The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …

Recent advances in microalgal production, harvesting, prediction, optimization, and control strategies

T Shitanaka, H Fujioka, M Khan, M Kaur, ZY Du… - Bioresource …, 2024 - Elsevier
The market value of microalgae has grown exponentially over the past two decades, due to
their use in the pharmaceutical, nutraceutical, cosmetic, and aquatic/animal feed industries …

Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass

Z Wang, X Peng, A Xia, AA Shah, H Yan, Y Huang… - Energy, 2023 - Elsevier
Biogas derived from the anaerobic digestion of biomass can provide a carbon-neutral
resource for green energy supply in the future. The biochemical methane potential (BMP) …

Artificial intelligence technologies in bioprocess: opportunities and challenges

Y Cheng, X Bi, Y Xu, Y Liu, J Li, G Du, X Lv, L Liu - Bioresource Technology, 2023 - Elsevier
Bioprocess control and optimization are crucial for tapping the metabolic potential of
microorganisms, and which have made great progress in the past decades. Combination of …

Phycobiliproteins from algae: Current updates in sustainable production and applications in food and health

L Ji, S Qiu, Z Wang, C Zhao, B Tang, Z Gao… - Food Research …, 2023 - Elsevier
Phycobiliproteins are light-harvesting complexes found mainly in cyanobacteria and red
algae, playing a key role in photosynthesis. They are extensively applied in food, cosmetics …

Enhancement of isoprene production in engineered Synechococcus elongatus UTEX 2973 by metabolic pathway inhibition and machine learning-based optimization …

I Yadav, A Rautela, A Gangwar, L Wagadre… - Bioresource …, 2023 - Elsevier
An engineered Synechococcus elongatus UTEX 2973-IspS. IDI is used to enhance isoprene
production through geranyl diphosphate synthase (CrtE) inhibition and process parameters …

Influence of catalyst and solvent on the hydrothermal liquefaction of woody biomass

X Zhou, J Zhao, M Chen, G Zhao, S Wu - Bioresource Technology, 2022 - Elsevier
Hydrothermal liquefaction of woody biomass with catalysts was commonly applied in bio-
energy research, but the effects of catalyst and solvent on yield and properties of bio-energy …

Genome-scale metabolic network models: From first-generation to next-generation

C Ye, X Wei, T Shi, X Sun, N Xu, C Gao… - Applied microbiology and …, 2022 - Springer
Over the last two decades, thousands of genome-scale metabolic network models (GSMMs)
have been constructed. These GSMMs have been widely applied in various fields, ranging …

Two-stage algal cultivation for the biotransformation of urban wastewater's pollutants into multiple bioproducts in a circular bioeconomy paradigm

AZ Khan, S Malik, MA Mehmood, A Shahid… - Energy Conversion and …, 2022 - Elsevier
Resource recovery and recycling of urban wastewater have become essential due to rapidly
depleting water resources. Here, a newly isolated cyanobacterium Pseudoscillatoria coralii …