Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review

AI Osman, M Nasr, M Farghali, AK Rashwan… - Environmental …, 2024 - Springer
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …

Hybrid modeling in bioprocess dynamics: Structural variabilities, implementation strategies, and practical challenges

B Mahanty - Biotechnology and Bioengineering, 2023 - Wiley Online Library
Hybrid modeling, with an appropriate blend of the mechanistic and data‐driven framework,
is increasingly being adopted in bioprocess modeling, model‐based experimental design …

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production

A Shafizadeh, H Shahbeik, S Rafiee, A Moradi… - Fuel, 2023 - Elsevier
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …

Artificial intelligence and machine learning for smart bioprocesses

SK Khanal, A Tarafdar, S You - Bioresource Technology, 2023 - Elsevier
In recent years, the digital transformation of bioprocesses, which focuses on
interconnectivity, online monitoring, process automation, artificial intelligence (AI) and …

Integrated machine learning methods with oversampling technique for regional suitability prediction of waste-to-energy incineration projects

Y Hou, Q Wang, K Zhou, L Zhang, T Tan - Waste Management, 2024 - Elsevier
China's tiered strategy to enhance county-level waste incineration for energy aligns with the
sustainable development goals (SDGs), emphasizing the need for comprehensive …

Challenges and opportunities in bioprocessing of gellan gum: A review

N Sahu, B Mahanty, D Haldar - International Journal of Biological …, 2024 - Elsevier
Gellan gum (GG)—the microbial exopolysaccharide is increasingly being adopted into drug
development, tissue engineering, and food and pharmaceutical products. In spite of the …

Harnessing artificial intelligence for enhanced bioethanol productions: a cutting-edge approach towards sustainable energy solution

CS Damian, Y Devarajan… - International Journal of …, 2024 - degruyter.com
The adoption of biofuels as an energy source has experienced a substantial increase,
exceeding the consumption of fossil fuels. The shift can be ascribed to the availability of …

A comprehensive review of heat pump wood drying technologies

L Gao, A Fix, T Seabourne, Y Pei, P Adegbaye… - Energy, 2024 - Elsevier
Wood drying is one of the most energy-intensive processes in lumber production, and most
wood drying kilns rely on combustion for the process heating. Heat pumps are a promising …

Data driven multiple objective optimization of AAO process towards wastewater effluent biological toxicity reduction

J Hu, R Yin, J Wang, H Ren - npj Clean Water, 2024 - nature.com
While the anaerobic-anoxic-oxic (AAO) process is the most widely applied biological
wastewater treatment process in municipal wastewater treatment plants (WWTPs), it …

[HTML][HTML] Recent advances in the biosynthesis and production optimization of gentamicin: A critical review

F Xu, K Hu, A Mohsin, J Wu, L Su, Y Wang… - Synthetic and Systems …, 2024 - Elsevier
Gentamicin, an aminoglycoside antibiotic, is generated by a few species within the genus
Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in …