Exploring the effects of different combinations of predictor variables for the treatment of wastewater by microalgae and biomass production

Biofuels from Microalgae—A Review of Technologies for Production, Processing, and Extractions of Biofuels and Co-Products

Brennan, L., & Owende, P. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2009.10.009 · Cited by 4,894

The nitrogen cascade

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Heterotrophic cultures of microalgae: Metabolism and potential products

Perez‐Garcia, O., Escalante, F. M. E., de‐Bashan, L. E., & Yoav Bashan, A. (2010) · Water Research · doi:10.1016/j.watres.2010.08.037 · Cited by 1,820

Wastewater Engineering: Treatment and Resource Recovery

Burton, F. L., Stensel, H. D., & Tchobanoglous, G. (2013) · Medical Entomology and Zoology · Cited by 1,789

Algae-bacteria interactions: Evolution, ecology and emerging applications

Ramanan, R., Kim, B.-H., Cho, D.-H., Oh, H.-M., & Kim, H.-S. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2015.12.003 · Cited by 1,301

CO2 bio-mitigation using microalgae

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Characterization and genomic analysis of kraft lignin biodegradation by the beta-proteobacterium Cupriavidus basilensis B-8

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Photobioreactors for Mass Cultivation of Algae

Ugwu, C. U., Aoyagi, H., & Uchiyama, H. (2008) · Bioresource Technology · doi:10.1016/j.biortech.2007.01.046 · Cited by 1,209

Biomass and lipid productivities of Chlorella vulgaris under autotrophic, heterotrophic and mixotrophic growth conditions

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Correction: Corrigendum: Assembling Composite Dermal Papilla Spheres with Adipose-derived Stem Cells to Enhance Hair Follicle Induction

Huang, C.-F., Chang, Y., Hsueh, Y., Huang, C.-W., Wang, D.-H., Huang, T.-C., Wu, Y.-T., Su, F., Hughes, M. W., Chuong, C., et al. (2016) · Scientific Reports · doi:10.1038/srep31257 · Cited by 941

Artificial Intelligence and Machine Learning Tools for High-Performance Microalgal Wastewater Treatment and Algal Biorefinery: A Critical Review

Oruganti, R. K., Biji, A. P., Lanuyanger, T., Show, P. L., Sriariyanun, M., Upadhyayula, V. K. K., Gadhamshetty, V., & Bhattacharyya, D. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162797 · Cited by 211

Machine learning for microalgae detection and utilization

Ning, H., Li, R., & Zhou, T. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.947394 · Cited by 83

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

Kumar, Y., Kaur, S., Kheto, A., Munshi, M., Sarkar, A., Pandey, H. O., Tarafdar, A., Sindhu, R., & Sirohi, R. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.127834 · Cited by 64

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

Çoşgun, A., Günay, M. E., & Yıldırım, R. (2023) · Green Chemistry · doi:10.1039/d3gc00389b · Cited by 61

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

Chong, J. W. R., Tang, D. Y. Y., Leong, H. Y., Khoo, K. S., Show, P. L., & Chew, K. W. (2023) · Bioengineered · doi:10.1080/21655979.2023.2244232 · Cited by 61

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

Singh, V., & Mishra, V. (2022) · Water Research · doi:10.1016/j.watres.2022.118165 · Cited by 52

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

Singh, V., Verma, M., Chivate, M. S., & Mishra, V. (2023) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2023.111387 · Cited by 44

Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review

Yang, W., & Li, H. (2025) · ACS ES&T Water · doi:10.1021/acsestwater.4c01047 · Cited by 44

Advancements of astaxanthin production in Haematococcus pluvialis: Update insight and way forward

Cui, H., Zhu, X., Xiao, Y., Li, S., Wang, K., Wei, L., Li, R., & Qin, S. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2025.108519 · Cited by 46

Biochar enhanced the performance of microalgae/bacteria consortium for insecticides removal from synthetic wastewater

Mojiri, A., Zhou, J. L., Nazari, M., Rezania, S., Farraji, H., & Vakili, M. (2021) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2021.11.012 · Cited by 40

Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure

Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37

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

Manochkumar, J., Cherukuri, A. K., Kumar, R. S., Almansour, A. I., Ramamoorthy, S., & Efferth, T. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107425 · Cited by 33

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

Kavitha, S. K., Ravi, Y. K., Kumar, G., Yogalakshmi, K. N., & Banu, J. R. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.120135 · Cited by 33

Data-driven model development for prediction and optimization of biomass yield of microalgae-based wastewater treatment

Meenatchisundaram, K., Gowd, S. C., Lee, J., Barathi, S., & Rajendran, K. (2024) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2024.103670 · Cited by 29

Growth Efficiency of Chlorella sorokiniana in Synthetic Media and Unsterilized Domestic Wastewater

Bulynina, S. S., Ziganshina, E. E., & Ziganshin, A. M. (2023) · BioTech · doi:10.3390/biotech12030053 · Cited by 31

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

Palanisamy, K. M., Bhuyar, P., Rahim, M. H. A., Govindan, N., & Maniam, G. P. (2023) · International Journal of Energy Research · doi:10.1155/2023/2257271 · Cited by 22

A novel experimental and machine learning model to remove COD in a batch reactor equipped with microalgae

Jery, A. E., Noreen, A., Isam, M., Arias‐Gonzáles, J. L., Younas, T., Al-Ansari, N. A., & Sammen, S. S. (2023) · Applied Water Science · doi:10.1007/s13201-023-01957-8 · Cited by 21

Microalgae-based wastewater treatment: Mechanisms, strategies, and the role of biochemical composition

Kong, T., Li, A., & Zhang, L. (2025) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2025.118131 · Cited by 20

Bioelectricity Generation Using Sweet Lemon Peels as Anolyte and Cow Urine as Catholyte in a Yeast-Based Microbial Fuel Cell

Verma, M., & Mishra, V. (2023) · Waste and Biomass Valorization · doi:10.1007/s12649-023-02050-6 · Cited by 18

Machine learning framework for wastewater circular economy — Towards smarter nutrient recoveries

Soo, A., Gao, L., & Shon, H. K. (2024) · Desalination · doi:10.1016/j.desal.2024.118092 · Cited by 24

Machine Learning and Artificial Intelligence for Algal Cultivation, Harvesting Techniques, Wastewater Treatment, Nutrient Recovery, and Biofuel Production and Optimization

Mafat, I. H., Palla, S., & Surya, D. V. (2024) · Value Added Products From Bioalgae Based Biorefineries: Opportunities and Challenges · doi:10.1007/978-981-97-1662-3_18 · Cited by 17

A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches

Freitas, G. R., Badenes, S. M., Oliveira, R., & Martins, F. G. (2025) · Processes · doi:10.3390/pr13092956 · Cited by 15

Revolutionizing water and wastewater treatment: Data-driven approaches for advanced solutions

Maqsood, Q., Fatima, R., Rafaqat, F., Mehmood, T., Ali, S. W., & Hussain, M. (2025) · Desalination and Water Treatment · doi:10.1016/j.dwt.2025.101432 · Cited by 14

Novel machine learning unlocks high lipid productivity and resolves trade-offs in algal biofuel production

Lopez, A. M., Savage, S., & Zhou, Z. (2025) · Renewable Energy · doi:10.1016/j.renene.2025.123901 · Cited by 15

Analysing the effects of culture parameters on wastewater treatment capability of microalgae through association rule mining

Singh, V., & Mishra, V. (2022) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2022.108444 · Cited by 13

Artificial Intelligence–driven microalgal biorefineries: Advancing wastewater phycoremediation toward sustainable biofuel and high-value product generation

Kalwani, M., & Vítová, M. (2026) · Algal Research · doi:10.1016/j.algal.2026.104620 · Cited by 12

Treatment of carpet and textile industry effluents using Diplosphaera mucosa VSPA: A multiple input optimisation study using artificial neural network-genetic algorithms

Singh, V., Mehra, R., Ramesh, K. B., Srivastava, P., & Mishra, A. (2023) · Bioresource Technology · doi:10.1016/j.biortech.2023.129619 · Cited by 11

A dual approach using response surface methodology and machine learning for optimization and enhancement of microalgae‐based municipal wastewater treatment

Kayan, I., & Öz, N. A. (2025) · Journal of Chemical Technology & Biotechnology · doi:10.1002/jctb.7856 · Cited by 10

Intensifying outdoor cultivation of oleaginous microalgae in photobioreactors for simultaneous wastewater bioremediation and low-cost production of renewable biodiesel feedstocks

Jehalee, F., Maneechote, W., Srinuanpan, S., ., W. P.-A., Phusunti, N., Mouradov, A., & Cheirsilp, B. (2024) · Biochemical Engineering Journal · doi:10.1016/j.bej.2024.109318 · Cited by 9

Algae-driven bioelectrochemical systems: Recent advances, applications, and prospects

Apollon, W., Verma, M., Kuleshova, T. E., Mishra, V., Gwenzi, W., Mittal, Y., Jadhav, D. A., Kadier, A., Ghosh, S. B., Malloum, A., et al. (2025) · Biotechnology Advances · doi:10.1016/j.biotechadv.2025.108675 · Cited by 8

Advancements in Valorization of Food Waste Resources by Microalgae for Sustainable Biorefinery Production

Htoo, N. Y. M., Pumas, C., Srinuanpan, S., Kee, P. E., Lan, J. C., Lim, J. W., Upadhyay, S. K., & Khoo, K. S. (2024) · BioEnergy Research · doi:10.1007/s12155-024-10777-w · Cited by 10

Machine Learning Assisted Image Analysis for Microalgae Prediction

Sundaram, K. M., Sikhakolli, S. K., Deshpande, A. P., Chinnadurai, S., & Rajendran, K. (2024) · ACS ES&T Engineering · doi:10.1021/acsestengg.4c00598 · Cited by 10

Time series forecasting of microalgae cultivation for a sustainable wastewater treatment

Sundaram, K. M., Kumar, D., Lee, J., Barathi, S., & Rajendran, K. (2025) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2025.106845 · Cited by 9

Advanced HRT-Controller Aimed at Optimising Nitrogen Recovery by Microalgae: Application in an Outdoor Flat-Panel Membrane Photobioreactor

Mora-Sánchez, J. F., González-Camejo, J., Seco, A., & Ruano, M. V. (2022) · ChemEngineering · doi:10.3390/chemengineering6020024 · Cited by 6

Solar-driven water purification technologies

Ganeshan, A., & Jha, N. (2025) · International Journal of Advances in Engineering Sciences and Applied Mathematics · doi:10.1007/s12572-025-00400-2 · Cited by 4

Chlorella vulgaris for Domestic Wastewater Treatment: Bibliometric Trends and Experimental Evaluation in Synthetic Effluent

Melo, L. B. U., Borrego, B. B., Gracioso, L. H., Campos, M. V. P. B. D. [., Barrera-Alba, J. J., & Perpetuo, E. A. (2026) · Water Environment Research · doi:10.1002/wer.70276 · Cited by 4

A novel hybrid machine learning approach for biorefinery products in pesticide-rich wastewater

Üngörmüş, C., & Onay, A. (2026) · Environmental Technology & Innovation · doi:10.1016/j.eti.2026.104758 · Cited by 2

Advancement in Biodiesel Production Methodologies Using Different Feedstock

Tripathi, G., Dubey, P., Yadav, P., Salijonova, S., & Farooqui, A. (2023) · Springer water · doi:10.1007/978-3-031-40198-5_15 · Cited by 2

Fuzzy Logic and AI Hybrid Prediction System to Evaluate Carbon Dioxide Fixation by Microalgae

Gupta, A. K., Bhandari, N. S., Jain, S., Deogaonkar, A., Goyal, S., & Rayal, A. (2024) · Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit) · doi:10.1109/globalaisummit62156.2024.10947848 · Cited by 1

Regulatory key points on microalgae-based food products

de Medeiros, V. P. B., Silva, F. A., Pontes, E., Pimentel, T. C., & Magnani, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-22080-7.00014-4 · Cited by 1

Marine microalgal biofuels: toward a systems-based circular biofactory

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Artificial intelligence driven microalgal wastewater treatment: Predictive modeling, optimization, and process integration

Sundaram, K. M., Elumalai, R., Aguado, A. J. F., Juneja, A., & Rajendran, K. (2026) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2026.105118 · Cited by 1

Municipal Wastewater Treatment by Microalgae with Simultaneous Resource Recovery: A Biorefinery Approach

Singh, V., Prasad, B., & Mishra, V. (2023) · Springer eBooks · doi:10.1007/978-981-99-3106-4_2 · Cited by 1

Removal of Micropollutants in Industrial Wastewater Using Microalgae

Onay, M., & Onay, A. (2024) · Wiley eBooks · doi:10.1002/9783527843367.ch17 · Cited by 1

Upstream process engineering for pathogen reduction in wastewater-integrated microalgal bioprocesses for simultaneous wastewater treatment and circular bioeconomy

Thevarajah, B., Nimarshana, P. H. V., Hanifa, N. M., Dayanath, M., Ariyadasa, T. U., & Chang, J.-S. (2026) · Biochemical Engineering Journal · doi:10.1016/j.bej.2026.110430

Bioconversion energy

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

Singh, V., Verma, M., Chivate, M. S., & Mishra, V. (2023) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2023.111387 · Cited by 44

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

Singh, V., & Mishra, V. (2022) · Water Research · doi:10.1016/j.watres.2022.118165 · Cited by 52

Data-driven model development for prediction and optimization of biomass yield of microalgae-based wastewater treatment

Meenatchisundaram, K., Gowd, S. C., Lee, J., Barathi, S., & Rajendran, K. (2024) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2024.103670 · Cited by 29

Tree-based machine learning for predicting Neochloris oleoabundans biomass growth and biological nutrient removal from tertiary municipal wastewater

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