Ultrasonic-assisted hypochlorite activation accelerated volatile fatty acids production during sewage sludge fermentation: Critical insights on solubilization/hydrolysis stages and microbial traits DOI
Rui Zhu,

Shanshan Zhao,

Chenlu Ju

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 383, P. 129233 - 129233

Published: May 26, 2023

Language: Английский

Revolutionizing the circular economy through new technologies: A new era of sustainable progress DOI Creative Commons
Eduardo Sánchez‐García, Javier Martínez‐Falcó, Bartolomé Marco‐Lajara

et al.

Environmental Technology & Innovation, Journal Year: 2023, Volume and Issue: 33, P. 103509 - 103509

Published: Dec. 29, 2023

Nowadays the pace of production and consumption is reaching environmentally unsustainable levels. In this regard, great technological advances developed in recent years are postulated as a source opportunities to boost circular economy sustainable development. This wide range possibilities offered by new technologies create more reality has aroused curiosity interest academic world, especially years. The main objective research reveal challenges that arise when incorporating objectives economy. Regarding methodology, study been partially supported using bibliometric techniques. results highlight transformative role technologies, blockchain artificial intelligence, advancing economy, with particular emphasis on community technology integration, ethical considerations, synergies, business models, burgeoning bioeconomy. We conclude promise enhanced resource efficiency, optimized supply chains, innovative improved product lifecycle management, offering profound economic environmental benefits while fostering collaborative innovation. However, these also represent address, such integrating advanced methods, ensuring chain transparency, overcoming skill gap, avoiding data centralization, adapting regulatory frameworks foster equitable growth. These some most important areas for further research, those related development employees' capabilities adaptation frameworks, they understudied gaps.

Language: Английский

Citations

87

Smart waste management: A paradigm shift enabled by artificial intelligence DOI Creative Commons
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada

et al.

Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 263

Published: May 9, 2024

Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.

Language: Английский

Citations

65

Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries DOI
Vishal Sharma,

Mei‐Ling Tsai,

Chiu‐Wen Chen

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 886, P. 163972 - 163972

Published: May 8, 2023

Language: Английский

Citations

49

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

Artificial intelligence and machine learning for smart bioprocesses DOI
Samir Kumar Khanal, Ayon Tarafdar, Siming You

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 375, P. 128826 - 128826

Published: March 5, 2023

Language: Английский

Citations

41

Recent advances in biorefineries based on lignin extraction using deep eutectic solvents: A review DOI Creative Commons
Álvaro Lobato-Rodríguez, Beatriz Gullón, Aloia Romaní

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 388, P. 129744 - 129744

Published: Sept. 9, 2023

Considering the urgent need for alternative biorefinery schemes based on sustainable development, this review aims to summarize state-of-the-art in use of deep eutectic solvent pretreatment fractionate lignocellulose, with a focus lignin recovery. For that, key parameters influencing process are discussed, as well various strategies enhance efficiency explored. Moreover, describes challenges and opportunities associated valorization extraction-derived streams highlights recent advancements recovery techniques. Furthermore, utilization computational models design optimization is introduced, initial attempts at economic environmental assessment lignocellulosic bioprocess solvents. Overall, offers comprehensive perspective advances emerging field serves foundation further research potential integration multi-product schemes.

Language: Английский

Citations

39

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

33

Prediction of composting maturity and identification of critical parameters for green waste compost using machine learning DOI
Yalin Li,

Zhuangzhuang Xue,

Suyan Li

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 385, P. 129444 - 129444

Published: July 1, 2023

Language: Английский

Citations

24

Lignocellulosic biomass in circular economy: A techno-transition in carbon neutrality towards sustainable energy production DOI
Mudasir Ahmad Bhat, Mujtaba Aamir Bhat,

Saima Jan

et al.

Biomass and Bioenergy, Journal Year: 2024, Volume and Issue: 189, P. 107349 - 107349

Published: Aug. 27, 2024

Language: Английский

Citations

10

Advances in Fermentation Technology: A Focus on Health and Safety DOI Creative Commons
Theoneste Niyigaba, Kübra Küçükgöz, Danuta Kołożyn‐Krajewska

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 3001 - 3001

Published: March 10, 2025

Fermentation represents a pivotal bioconversion process that enhances foodstuffs’ nutritional and sensory attributes while playing crucial role in global food systems. Nevertheless, concerns about safety issues associated with microbial contamination the production of biogenic amines are often understated. This review appraised recent advancements fermentation technology, emphasising their association health fermented foods. Key advances include predictive microbiology models, some cases achieving up to 95% accuracy predicting behaviour, high-throughput sequencing (HTS) for enrichment. In addition, advanced detection methods such as biosensors PCR-based assays enable rapid identification contaminants, improving manufacturing processes preserving product integrity. Advanced bioreactor technologies equipped real-time monitoring systems have been shown increase efficiency. Moreover, innovative packaging, artificial intelligence, machine learning sensor optimised contributed tracking quality blockchain technology supply chain, potentially reducing spoilage rates showing decrease times. study also addresses regulatory frameworks essential establishing robust protocols. Integrating is imperative meet growing demand safe Continuous research innovation needed address challenges promote industry practices prioritising quality, ensuring public building consumer confidence products.

Language: Английский

Citations

1