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 …

Microalgae conversion to alternative energy, operating environment and economic footprint: an influential approach towards energy conversion, and management

RK Goswami, K Agrawal, HM Upadhyaya… - Energy Conversion and …, 2022 - Elsevier
Microalgae (MA) biorefinery is a vital platform for the conversion of biomass into biofuels,
biomaterials, and bioactive substances and it can remediate the pollutant from the …

Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …

P Rani, S Kotwal, J Manhas, V Sharma… - … Methods in Engineering, 2022 - Springer
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …

Trends in digital image processing of isolated microalgae by incorporating classification algorithm

JWR Chong, KS Khoo, KW Chew, HY Ting… - Biotechnology …, 2023 - Elsevier
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

Microalgae biomass and biomolecule quantification: optical techniques, challenges and prospects

VA Thiviyanathan, PJ Ker, SGH Tang, EPP Amin… - … and sustainable energy …, 2024 - Elsevier
Microalgae have emerged as a potential raw material to produce a spectrum of industrially
significant biomolecules such as lipids, proteins, and carotenoids. Nevertheless, the …

Microalgae with artificial intelligence: A digitalized perspective on genetics, systems and products

SY Teng, GY Yew, K Sukačová, PL Show, V Máša… - Biotechnology …, 2020 - Elsevier
With recent advances in novel gene-editing tools such as RNAi, ZFNs, TALENs, and
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …

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 …

Smart systems in producing algae-based protein to improve functional food ingredients industries

YT Neo, WY Chia, SS Lim, CL Ngan… - Food Research …, 2023 - Elsevier
Production and extraction systems of algal protein and handling process of functional food
ingredients need to control several parameters such as temperature, pH, intensity, and …

Microalgal biorefineries: advancement in machine learning tools for sustainable biofuel production and value-added products recovery

S Kavitha, YK Ravi, G Kumar, YK Nandabalan - Journal of Environmental …, 2024 - Elsevier
The microalgae can be converted into biofuels, biochemicals, and bioactive compounds in a
biorefinery. Recently, designing and executing more viable and sustainable biofuel …

Bacterial pretreatment of microalgae and the potential of novel nature hydrolytic sources

B Barati, FF Zafar, PF Rupani, S Wang - Environmental Technology & …, 2021 - Elsevier
Microalgae are photosynthetic organisms that can synthesize biomass as a potential source
of bioenergy. The hydrolysis of a microalgal cell wall is the main issue in biofuel production …