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 …

Cultivation of microalgae on food waste: Recent advances and way forward

Y Kumar, S Kaur, A Kheto, M Munshi, A Sarkar… - Bioresource …, 2022 - Elsevier
Microalgae are photosynthetic microbes that can synthesize compounds of therapeutic
potential with wide applications in the food, bioprocessing and pharmaceutical sector …

Advanced insights on removal of antibiotics by microalgae-bacteria consortia: A state-of-the-art review and emerging prospects

Z Wang, Y Chu, H Chang, P Xie, C Zhang, F Li, SH Ho - Chemosphere, 2022 - Elsevier
Antibiotics abuse has triggered a growing environmental problem, posing a major threat to
both ecosystem and human health. Unfortunately, there are still several shortcomings to …

Evaluation of the effects of input variables on the growth of two microalgae classes during wastewater treatment

V Singh, V Mishra - Water Research, 2022 - Elsevier
Wastewater treatment carried out by microalgae is usually affected by the type of algal strain
and the combination of cultivation parameters provided during the process. Every microalga …

Machine learning for algal biofuels: a critical review and perspective for the future

A Coşgun, ME Günay, R Yıldırım - Green Chemistry, 2023 - pubs.rsc.org
In this work, machine learning (ML) applications in microalgal biofuel production are
reviewed. First, the basic steps of algal biofuel production are summarized followed by a …

Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae

JWR Chong, DYY Tang, HY Leong, KS Khoo… - …, 2023 - Taylor & Francis
Fucoxanthin is a carotenoid that possesses various beneficial medicinal properties for
human well-being. However, the current extraction technologies and quantification …

A critical review of machine-learning for “multi-omics” marine metabolite datasets

J Manochkumar, AK Cherukuri, RS Kumar… - Computers in Biology …, 2023 - Elsevier
During the last decade, genomic, transcriptomic, proteomic, metabolomic, and other omics
datasets have been generated for a wide range of marine organisms, and even more are …

Machine learning-based optimisation of microalgae biomass production by using wastewater

V Singh, M Verma, MS Chivate, V Mishra - Journal of Environmental …, 2023 - Elsevier
Microalgae biomass a valuable resource for energy source and fertilisers. Among all
available media sources, wastewater serves as cost-efficient media for microalgae biomass …

Machine learning for microalgae detection and utilization

H Ning, R Li, T Zhou - Frontiers in Marine Science, 2022 - frontiersin.org
Microalgae are essential parts of marine ecology, and they play a key role in species
balance. Microalgae also have significant economic value. However, microalgae are too …

Cultivation of Microalgae Spirulina platensis Biomass Using Palm Oil Mill Effluent for Phycocyanin Productivity and Future Biomass Refinery Attributes

KM Palanisamy, P Bhuyar… - … Journal of Energy …, 2023 - Wiley Online Library
Palm oil mill effluent is a type of wastewater which contains a high concentration of organic
nitrogen, phosphorus, and different supplement substances. These substances support and …