Machine learning-driven property predictions of polypropylene composites using IR spectroscopy DOI Creative Commons
Szilvia Klébert, Róbert Várdai, Anita Rácz

et al.

Composites Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 111127 - 111127

Published: Feb. 1, 2025

Language: Английский

Development of lignocellulosic biorefineries for the sustainable production of biofuels: Towards circular bioeconomy DOI

Aditya Yadav,

Vishal Sharma,

Mei‐Ling Tsai

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 381, P. 129145 - 129145

Published: May 9, 2023

Language: Английский

Citations

72

Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review DOI Creative Commons
Ahmed I. Osman, Mahmoud Nasr, Mohamed Farghali

et al.

Environmental Chemistry Letters, Journal Year: 2024, Volume and Issue: 22(3), P. 1005 - 1071

Published: Feb. 13, 2024

Abstract The excessive reliance on fossil fuels has resulted in an energy crisis, environmental pollution, and health problems, calling for alternative such as biodiesel. Here, we review computational chemistry machine learning optimizing biodiesel production from waste. This article presents techniques, characteristics, transesterification, waste materials, policies encouraging Computational techniques are applied to catalyst design deactivation, reaction reactor optimization, stability assessment, feedstock analysis, process scale-up, mechanims, molecular dynamics simulation. Waste comprise cooking oil, animal fat, vegetable algae, fish waste, municipal solid sewage sludge. oil represents about 10% of global production, restaurants alone produce over 1,000,000 m 3 annual. Microalgae produces 250 times more per acre than soybeans 7–31 palm oil. Transesterification food lipids can with a 100% yield. Sewage sludge significant biomass that contribute renewable production.

Language: Английский

Citations

50

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future DOI Creative Commons
Abu Danish Aiman Bin Abu Sofian, Xun Sun,

Vijai Kumar Gupta

et al.

Energy & Fuels, Journal Year: 2024, Volume and Issue: 38(3), P. 1593 - 1617

Published: Jan. 16, 2024

This review illuminates the pivotal synergy between machine learning (ML) and biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, biochemicals. Biobased polymers, derived from renewable sources, have garnered attention for roles in energy fuel sectors. These when integrated with ML techniques, exhibit enhanced functionalities, optimizing systems, storage, conversion. Detailed case studies reveal of biobased polymers applications industry, further showcasing how bolsters efficiency innovation. The intersection also marks advancements biochemical production, emphasizing innovations drug delivery medical device development. underscores imperative harnessing convergence future global sustainability endeavors collective evidence presented asserts immense promise this union holds steering a innovative trajectory.

Language: Английский

Citations

18

Recent advances in ultrasound-assisted technologies for improved bioproduct recovery in lignocellulosic and microalgal biorefineries DOI
Diksha Sharma, Vishal Sharma,

Mei‐Ling Tsai

et al.

Journal of Industrial and Engineering Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2

Co-pyrolysis of biomass and plastic wastes and application of machine learning for modelling of the process: A comprehensive review DOI

Deepak Bhushan,

Sanjeevani Hooda,

Prasenjit Mondal

et al.

Journal of the Energy Institute, Journal Year: 2025, Volume and Issue: 119, P. 101973 - 101973

Published: Jan. 5, 2025

Language: Английский

Citations

2

A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes DOI Creative Commons
Olugbenga Akande, Jude A. Okolie, Richard Kimera

et al.

Green Energy and Intelligent Transportation, Journal Year: 2025, Volume and Issue: unknown, P. 100260 - 100260

Published: Jan. 1, 2025

Language: Английский

Citations

2

A review on emerging technologies and machine learning approaches for sustainable production of biofuel from biomass waste DOI Open Access

V. Godvin Sharmila,

Surya Prakash Shanmugavel,

J. Rajesh Banu

et al.

Biomass and Bioenergy, Journal Year: 2023, Volume and Issue: 180, P. 106997 - 106997

Published: Nov. 23, 2023

Language: Английский

Citations

31

Insights into the recent advances of agro-industrial waste valorization for sustainable biogas production DOI
Vishal Sharma, Diksha Sharma,

Mei‐Ling Tsai

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 390, P. 129829 - 129829

Published: Oct. 13, 2023

Language: Английский

Citations

29

Bioprocess development for the production of xylooligosaccharide prebiotics from agro-industrial lignocellulosic waste DOI Creative Commons
Cheng‐Di Dong,

Mei‐Ling Tsai,

Parushi Nargotra

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(7), P. e18316 - e18316

Published: July 1, 2023

The development of sustainable biorefineries and bioeconomy has been the mandate most governments with major focus on restricting climate change concerns finding new strategies to maintain global food supply chain. Xylooligosaccharides (XOS) are short-chain oligomers which due their excellent prebiotic potential in nutraceutical sector attracted intense research recent years. agro-industrial crop waste can be utilized for production XOS derived from hemicellulose fraction (xylan) lignocellulosic materials. extraction xylan, is traditionally achieved by acidic alkaline pretreatments which, however, have limited industrial applications. inclusion cutting-edge environmentally beneficial pretreatment methods technologies such as deep eutectic solvents green catalysts preferred. Moreover, xylans biomass using combinatorial approaches may help economizing whole bioprocess. current review outlines factors involved xylan depolymerization processes different subsequent enzymatic hydrolysis production. types oligosaccharides growth healthy gut bacteria also explained. introduction modern molecular made it possible identify enzymes microorganisms desired characteristics usage processes.

Language: Английский

Citations

23

Biofuel production for circular bioeconomy: Present scenario and future scope DOI Creative Commons

Yuanyao Ye,

Wenshan Guo, Huu Hao Ngo

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 172863 - 172863

Published: May 23, 2024

In recent years, biofuel production has attracted considerable attention, especially given the increasing worldwide demand for energy and emissions of greenhouse gases that threaten this planet. case, one possible solution is to convert biomass into green sustainable biofuel, which can enhance bioeconomy contribute economic development goals. Due being in large quantities containing high organic content, various sources such as food waste, textile microalgal agricultural waste sewage sludge have gained significant attention production. Also, technologies, including thermochemical processing, anaerobic digestion, fermentation bioelectrochemical systems, been extensively reported, achieve valorization through producing biofuels re-utilizing wastes. Nevertheless, commercial feasibility still determined, it unclear whether compete equally with other existing fuels market. The concept a circular economy promote environmentally friendly waste. This review comprehensively discusses state-of-the-art from perspectives associated it. Biofuel evaluated within framework bioeconomy. Further on integration approaches maximizing utilization are discussed, what could mean economy. More research related pretreatment machine learning should be conducted optimize process, increase yield make prices competitive.

Language: Английский

Citations

15