Revolutionizing the circular economy through new technologies: A new era of sustainable progress

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

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Smart waste management: A paradigm shift enabled by artificial intelligence

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

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Optimizing Biomass-to-Biofuel Conversion

Advances in finance, accounting, and economics book series, Journal Year: 2023, Volume and Issue: unknown, P. 191 - 214

Published: Oct. 3, 2023

This chapter explores the integration of IoT and AI technologies to optimize biomass-to-biofuel conversion processes. algorithms can be used process parameters such as temperature, pressure, enzyme dosage, leading increased biofuel yields, reduced energy consumption, improved quality control. Sustainability assessment is also highlighted, with playing a crucial role in monitoring analyzing sustainability metrics. Companies Pacific Ethanol, Renmatix, IOCL, GranBio have achieved significant improvements yield, efficiency, control, by leveraging technologies. These advancements inspire potential applications strategies different biomass feedstock scenarios, enabling organizations drive transition towards cleaner more sustainable sources while improving operational efficiency competitiveness.

Language: Английский

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Advancements in biomass waste conversion to sustainable biofuels via gasification

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 505, P. 159151 - 159151

Published: Jan. 6, 2025

Language: Английский

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Strategies of Artificial intelligence tools in the domain of nanomedicine

Journal of Drug Delivery Science and Technology, Journal Year: 2023, Volume and Issue: 91, P. 105157 - 105157

Published: Nov. 10, 2023

Language: Английский

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Introduction of machine learning and artificial intelligence in biofuel technology

Current Opinion in Green and Sustainable Chemistry, Journal Year: 2024, Volume and Issue: 47, P. 100928 - 100928

Published: April 26, 2024

Language: Английский

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Unlocking the potential of microalgae as sustainable bioresources from up to downstream processing: A critical review

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 488, P. 151124 - 151124

Published: April 9, 2024

Language: Английский

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Enhancing Lipase Immobilization via Physical Adsorption: Advancements in Stability, Reusability, and Industrial Applications for Sustainable Biotechnological Processes

ACS Omega, Journal Year: 2024, Volume and Issue: 9(47), P. 46698 - 46732

Published: Nov. 14, 2024

Immobilization of lipases by physical adsorption improves their stability, recovery, and reusability in biotechnological processes. The present review provides an advanced bibliometric analysis a comprehensive overview research progress this field. By searching Web Science, 39,575 publications were analyzed, 325 relevant articles selected. Key journals, countries, institutions, authors identified. most cited focus on biofuel production industrial applications. revealed four themes with the biofuel. method is effective when appropriate support used. Despite decrease patent applications, interest remains high. Future studies should optimizing materials exploring new applications technique. detailed understanding immobilization adsorption.

Language: Английский

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Implementation of information and communication technologies to increase sustainable productivity in freshwater finfish aquaculture – A review

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 408, P. 137124 - 137124

Published: April 13, 2023

Language: Английский

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Bio-Driven Sustainable Extraction and AI-Optimized Recovery of Functional Compounds from Plant Waste: A Comprehensive Review

Fermentation, Journal Year: 2024, Volume and Issue: 10(3), P. 126 - 126

Published: Feb. 23, 2024

The agrifood industry produces copious amounts of waste, which represent an execrable wastage natural resources and result in economic losses over the entire value chain. This review compares conventional biological methods for recovery functional compounds from plant wastes to rescues part intrinsic valuable elements contained therein. Biological involve bioprocesses based on hydrolytic enzymes engineered bacterial strains, facilitate release compounds. Then, this explores innovative transformative role artificial intelligence machine learning techniques real-time monitoring, optimizing, digitizing extraction procedures. By combining potential AI integration, provides insights how these approaches can revolutionize sector, increasing efficiency environmental sustainability waste valorization process.

Language: Английский

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