Pub Date : 2025-06-01Epub Date: 2025-03-26DOI: 10.1016/j.coche.2025.101121
Anamika Kushwaha, Lalit Goswami, Beom Soo Kim
The present review thoroughly illustrates the recent advancements in the innovative strategies of poly (ethylene terephthalate) (PET) biodegradation. It encompasses the involvement of the optimization of pretreatment process, microbes-mining, mixed strain/multi-enzyme approach, supplementation of auxiliary agents, enzyme and molecular engineering, and so on, with further delving into the inclusion of smarter technologies such as computational modeling, molecular mechanics, docking simulation, and machine learning. Finally, the review anticipates rejuvenating the traditional PET biodegradation process, offering more advanced, sustainable, green, fast, economic, and efficient techniques for PET biodegradation.
{"title":"Advancement in innovative strategies for poly (ethylene terephthalate) biodegradation","authors":"Anamika Kushwaha, Lalit Goswami, Beom Soo Kim","doi":"10.1016/j.coche.2025.101121","DOIUrl":"10.1016/j.coche.2025.101121","url":null,"abstract":"<div><div>The present review thoroughly illustrates the recent advancements in the innovative strategies of poly (ethylene terephthalate) (PET) biodegradation. It encompasses the involvement of the optimization of pretreatment process, microbes-mining, mixed strain/multi-enzyme approach, supplementation of auxiliary agents, enzyme and molecular engineering, and so on, with further delving into the inclusion of smarter technologies such as computational modeling, molecular mechanics, docking simulation, and machine learning. Finally, the review anticipates rejuvenating the traditional PET biodegradation process, offering more advanced, sustainable, green, fast, economic, and efficient techniques for PET biodegradation.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101121"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-25DOI: 10.1016/j.coche.2025.101102
Kshitij RB Singh , Jay Singh , Shyam S. Pandey
Micro- and nano-plastics (MNPs) have garnered global attention as pervasive and emerging contaminants due to their potential risks to humans and the environment. Their toxicity, bioaccumulation, and oxidative stress disrupt ecosystems, demanding an urgent need for risk monitoring. A thorough understanding of the extent of the problem and the need for an amicable solution utilizing nanobioengineered materials is highly desired owing to their unique properties, such as tailored surface chemistry, specificity, and high sensitivity. These properties allow them to interact with the contaminants at the molecular level, making them suitable for MNP detection. Moreover, they have the potential to overcome challenges, such as the complex environmental matrices, data reproducibility, and inefficient sampling faced by pre-existing techniques, making them a promising tool for detecting MNPs. This review presents the importance of next-generation nanobioengineered materials for developing biosensors for MNP detection, and efforts have also been directed to enrich the awareness of the researchers working in this domain by providing innovative solutions to challenges faced by pre-existing techniques. Additionally, utilizing these materials in biosensing devices helps to attain the Sustainable Development Goals of the United Nations by bridging Nano-biotechnology and environmental science, fostering future research, and shaping policies to combat MNP pollution.
{"title":"Next-generation nanobioengineered materials for micro- and nano-plastic detection","authors":"Kshitij RB Singh , Jay Singh , Shyam S. Pandey","doi":"10.1016/j.coche.2025.101102","DOIUrl":"10.1016/j.coche.2025.101102","url":null,"abstract":"<div><div>Micro- and nano-plastics (MNPs) have garnered global attention as pervasive and emerging contaminants due to their potential risks to humans and the environment. Their toxicity, bioaccumulation, and oxidative stress disrupt ecosystems, demanding an urgent need for risk monitoring. A thorough understanding of the extent of the problem and the need for an amicable solution utilizing nanobioengineered materials is highly desired owing to their unique properties, such as tailored surface chemistry, specificity, and high sensitivity. These properties allow them to interact with the contaminants at the molecular level, making them suitable for MNP detection. Moreover, they have the potential to overcome challenges, such as the complex environmental matrices, data reproducibility, and inefficient sampling faced by pre-existing techniques, making them a promising tool for detecting MNPs. This review presents the importance of next-generation nanobioengineered materials for developing biosensors for MNP detection, and efforts have also been directed to enrich the awareness of the researchers working in this domain by providing innovative solutions to challenges faced by pre-existing techniques. Additionally, utilizing these materials in biosensing devices helps to attain the Sustainable Development Goals of the United Nations by bridging Nano-biotechnology and environmental science, fostering future research, and shaping policies to combat MNP pollution.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101102"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-31DOI: 10.1016/j.coche.2025.101122
Md Hujjatul Islam , Bruno G Pollet
Sonoelectrochemistry is the incorporation of power ultrasound in electrochemistry. The use of ultrasound in electrochemical processes such as water electrolysis can lead to an energy efficiency enhancement in the range of 2–25% in low-temperature water electrolysers (LT-WE). However, this improvement greatly depends upon several factors such as the cell reactor design, the ultrasonic frequency, the transmitted acoustic power, and the distance between the ultrasonic transducer and the electrode. The main objectives of this review are to highlight recent advancements in using power ultrasound in water electrolysis and shed some light on possible commercial development by addressing the fundamental obstacles that lie in this technology. Several research works have highlighted that the efficiency improvement in ultrasound-aided water electrolysis is principally due to the gas bubble removal from the electrode surface, which ultimately reduces the ohmic resistance of the electrolytic cell. However, even with the observed higher efficiencies from the sonoelectrolysers for hydrogen production in R&D labs, this technology still faces challenges for further development due to the efficiency in competing with commercial LT-WEs, which are already in the range of 60–70%. If sonoelectrolysers are to succeed for commercial development and large-scale industrial applications, they would need to achieve overall efficiency much higher than current commercial LT-WEs.
{"title":"Perspective in the industrial applications of sonoelectrochemical hydrogen production","authors":"Md Hujjatul Islam , Bruno G Pollet","doi":"10.1016/j.coche.2025.101122","DOIUrl":"10.1016/j.coche.2025.101122","url":null,"abstract":"<div><div><em>Sonoelectrochemistry</em> is the incorporation of power ultrasound in electrochemistry. The use of ultrasound in electrochemical processes such as water electrolysis can lead to an energy efficiency enhancement in the range of 2–25% in low-temperature water electrolysers (LT-WE). However, this improvement greatly depends upon several factors such as the cell reactor design, the ultrasonic frequency, the transmitted acoustic power, and the distance between the ultrasonic transducer and the electrode. The main objectives of this review are to highlight recent advancements in using power ultrasound in water electrolysis and shed some light on possible commercial development by addressing the fundamental obstacles that lie in this technology. Several research works have highlighted that the efficiency improvement in ultrasound-aided water electrolysis is principally due to the gas bubble removal from the electrode surface, which ultimately reduces the ohmic resistance of the electrolytic cell. However, even with the observed higher efficiencies from the <em>sonoelectrolysers</em> for hydrogen production in R&D labs, this technology still faces challenges for further development due to the efficiency in competing with commercial LT-WEs, which are already in the range of 60–70%. If <em>sonoelectrolysers</em> are to succeed for commercial development and large-scale industrial applications, they would need to achieve overall efficiency much higher than current commercial LT-WEs.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101122"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-11DOI: 10.1016/j.coche.2025.101118
Raymond R Tan , Maria Victoria Migo-Sumagang , Kathleen B Aviso
The global call for deep decarbonization poses the critical challenge of cutting greenhouse gas emissions from industrial operations. Decarbonization can be achieved with a mix of strategies and technologies, but decision-support models are needed to help optimize their emissions reduction portfolios. This review surveys the development and use of models to support industrial decarbonization decisions and proposes a research roadmap for the future. Four key modeling challenges are identified: epistemic uncertainties inherent in new technologies, feedback loops between techno-economic performance and technology selection, the interplay between multiple decision-makers, and embedding within a broader decarbonization context.
{"title":"Recent trends in optimization models for industrial decarbonization","authors":"Raymond R Tan , Maria Victoria Migo-Sumagang , Kathleen B Aviso","doi":"10.1016/j.coche.2025.101118","DOIUrl":"10.1016/j.coche.2025.101118","url":null,"abstract":"<div><div>The global call for deep decarbonization poses the critical challenge of cutting greenhouse gas emissions from industrial operations. Decarbonization can be achieved with a mix of strategies and technologies, but decision-support models are needed to help optimize their emissions reduction portfolios. This review surveys the development and use of models to support industrial decarbonization decisions and proposes a research roadmap for the future. Four key modeling challenges are identified: epistemic uncertainties inherent in new technologies, feedback loops between techno-economic performance and technology selection, the interplay between multiple decision-makers, and embedding within a broader decarbonization context.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101118"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-04DOI: 10.1016/j.coche.2025.101108
Kimberley B McAuley , Jonathan P McMullen , Salvador Garcia Muñoz
{"title":"Editorial overview: Digital design of pharmaceutical manufacturing processes","authors":"Kimberley B McAuley , Jonathan P McMullen , Salvador Garcia Muñoz","doi":"10.1016/j.coche.2025.101108","DOIUrl":"10.1016/j.coche.2025.101108","url":null,"abstract":"","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101108"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-22DOI: 10.1016/j.coche.2025.101106
Milad R Esfahani , Steven T Weinman
Plastic is ubiquitous across all aspects of modern life. Despite its usefulness, only 9% of all plastic waste ever produced has been recycled, leaving a tremendous amount that ends up in landfills and the environment. New strategies need to investigate using this waste plastic. This report analyzes upcycling waste plastics into membranes for water and gas separations. Polyethylene terephthalate, polystyrene, poly(vinyl chloride), polyethylene, polypropylene, and tire rubber have been studied for use as membranes. Future work needs to investigate greener solvents, health and safety aspects, costs, supply and demand, and life cycle assessments for upcycling plastic waste into membranes.
{"title":"Membranes from upcycled waste plastics: current status, challenges, and future outlook","authors":"Milad R Esfahani , Steven T Weinman","doi":"10.1016/j.coche.2025.101106","DOIUrl":"10.1016/j.coche.2025.101106","url":null,"abstract":"<div><div>Plastic is ubiquitous across all aspects of modern life. Despite its usefulness, only 9% of all plastic waste ever produced has been recycled, leaving a tremendous amount that ends up in landfills and the environment. New strategies need to investigate using this waste plastic. This report analyzes upcycling waste plastics into membranes for water and gas separations. Polyethylene terephthalate, polystyrene, poly(vinyl chloride), polyethylene, polypropylene, and tire rubber have been studied for use as membranes. Future work needs to investigate greener solvents, health and safety aspects, costs, supply and demand, and life cycle assessments for upcycling plastic waste into membranes.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101106"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-12DOI: 10.1016/j.coche.2025.101117
Lauren A Gibson, Kimberley B McAuley
Free radical polymerization (FRP) systems can have many reactions, leading to many kinetic parameters. The most common method to obtain values for kinetic parameters is weighted-least squares estimation, which uses multiple types of measured responses. Error-in-variables model estimation is used when there is significant uncertainty in the model inputs. When FRP models have many unknown parameters, it is difficult to estimate them all uniquely, so modelers often resort to model simplification or subset selection methods for parameter estimation. The aim of this review is to describe the most common techniques that modelers use for kinetic parameter estimation in FRP models.
{"title":"Techniques for kinetic parameter estimation in free radical polymerization models","authors":"Lauren A Gibson, Kimberley B McAuley","doi":"10.1016/j.coche.2025.101117","DOIUrl":"10.1016/j.coche.2025.101117","url":null,"abstract":"<div><div>Free radical polymerization (FRP) systems can have many reactions, leading to many kinetic parameters. The most common method to obtain values for kinetic parameters is weighted-least squares estimation, which uses multiple types of measured responses. Error-in-variables model estimation is used when there is significant uncertainty in the model inputs. When FRP models have many unknown parameters, it is difficult to estimate them all uniquely, so modelers often resort to model simplification or subset selection methods for parameter estimation. The aim of this review is to describe the most common techniques that modelers use for kinetic parameter estimation in FRP models.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101117"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-02-18DOI: 10.1016/j.coche.2025.101101
Shiye Zhao , Lixin Zhu
The annual influx of ∼11 million metric tons of plastic debris into the ocean poses a significant and growing threat to the marine environment globally. Additionally, plastic debris serves as a source of allochthonous carbon to marine ecosystems — a factor that has only drawn scientific attention recently. Herein, we synthesize recent evidence about this new form of plastic carbon in the ocean by addressing it as three components: particulate organic carbon of plastic (pPOC), dissolved organic carbon leaching from plastic (pDOC), and biogenic organic carbon of plastic-attached biofilm (pBOC). Current estimates of pPOC and pDOC account for only a modest fraction of natural carbon pool in the ocean, but their portions are expected to increase. pDOC is highly heterogenous, varying by polymer types, and has been shown to influence seawater biogeochemistry as well as the structure and function of microbial communities. Furthermore, biofilm biomass colonizing on plastic debris can utilize the pPOC and pDOC as carbon sources. Current evidences proved the incorporation of plastic carbon into microbial biomass, which consequently affects the carbon and nitrogen cycling. Given these emerging insights, we further suggest specific research questions aimed at stimulating research on the nature, dynamics, and role of plastic carbon in the ocean.
{"title":"Plastic carbon in the ocean","authors":"Shiye Zhao , Lixin Zhu","doi":"10.1016/j.coche.2025.101101","DOIUrl":"10.1016/j.coche.2025.101101","url":null,"abstract":"<div><div>The annual influx of ∼11 million metric tons of plastic debris into the ocean poses a significant and growing threat to the marine environment globally. Additionally, plastic debris serves as a source of allochthonous carbon to marine ecosystems — a factor that has only drawn scientific attention recently. Herein, we synthesize recent evidence about this new form of plastic carbon in the ocean by addressing it as three components: particulate organic carbon of plastic (<em>pPOC</em>), dissolved organic carbon leaching from plastic (<em>pDOC</em>), and biogenic organic carbon of plastic-attached biofilm (<em>pBOC</em>). Current estimates of <em>pPOC</em> and <em>pDOC</em> account for only a modest fraction of natural carbon pool in the ocean, but their portions are expected to increase. <em>pDOC</em> is highly heterogenous, varying by polymer types, and has been shown to influence seawater biogeochemistry as well as the structure and function of microbial communities. Furthermore, biofilm biomass colonizing on plastic debris can utilize the <em>pP</em>OC and <em>pDOC</em> as carbon sources. Current evidences proved the incorporation of plastic carbon into microbial biomass, which consequently affects the carbon and nitrogen cycling. Given these emerging insights, we further suggest specific research questions aimed at stimulating research on the nature, dynamics, and role of plastic carbon in the ocean.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101101"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-05-03DOI: 10.1016/j.coche.2025.101141
Yajuan Shi , Fangyou Yan , Jie Jin , Zheng-Hong Luo , Yin-Ning Zhou
Kinetic parameters of free-radical polymerization (FRP) are crucial for determining polymerization rate and polymer molecular properties. This opinion article presents various data-driven methods for the determination of kinetic parameters with several case studies based on quantitative structure–property relationships. Such methods allow accurately predict the influence of chemical structural information on kinetic parameters, aligning well with known scientific knowledge. On the long run, with the development of machine learning algorithms, kinetic parameters can be calculated more accurately and efficiently, which can not only deepen the understanding of polymerization kinetics but also help to design new reactants used in FRP.
{"title":"Advances in calculation of kinetic parameters in free-radical polymerization by data-driven methods","authors":"Yajuan Shi , Fangyou Yan , Jie Jin , Zheng-Hong Luo , Yin-Ning Zhou","doi":"10.1016/j.coche.2025.101141","DOIUrl":"10.1016/j.coche.2025.101141","url":null,"abstract":"<div><div>Kinetic parameters of free-radical polymerization (FRP) are crucial for determining polymerization rate and polymer molecular properties. This opinion article presents various data-driven methods for the determination of kinetic parameters with several case studies based on quantitative structure–property relationships. Such methods allow accurately predict the influence of chemical structural information on kinetic parameters, aligning well with known scientific knowledge. On the long run, with the development of machine learning algorithms, kinetic parameters can be calculated more accurately and efficiently, which can not only deepen the understanding of polymerization kinetics but also help to design new reactants used in FRP.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101141"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01Epub Date: 2025-03-22DOI: 10.1016/j.coche.2025.101120
Vitoria H Cauduro , Gustavo Gohlke , Nicole W da Silva , Adriano G Cruz , Erico MM Flores
The extraction of bioactive compounds from natural sources is a topic of great interest. In this sense, ultrasound-assisted extraction (UAE) has emerged as a promising technology for fast and efficient extraction of natural products without high organic solvent consumption. However, most studies on UAE are focused on laboratory scale. In order for this technology to be suitable for industrial applications, more pilot studies need to be developed and discussed. In this sense, this review aimed to address scale-up applications of UAE of natural products developed from 2019 to the first semester of 2024. Applications involving hydrodynamic cavitation were not included in this review. Key parameters related to ultrasound were addressed, such as reactor configuration, process type (batch or continuous), frequency, and others. Furthermore, the major challenges associated with the upscaling of UAE, as well as current trends and future perspectives were discussed. It was observed that flow cells were the main reactor type used in scale-up UAE of natural products and that flow-through was the main operation mode. The use of these devices enabled processing of higher sample volumes, possibly due to more homogeneous energy distribution in the reactor. Hence, further enhancements in this area should be expected. Furthermore, phenolic compounds were the main targets of extraction and low frequencies (<100 kHz) were used. However, a challenge remains regarding the lack of essential information in several publications, which makes comparison between studies difficult, as well as their reproduction. Nevertheless, scale-up UAE of natural products is a promising research area.
{"title":"A review on scale-up approaches for ultrasound-assisted extraction of natural products","authors":"Vitoria H Cauduro , Gustavo Gohlke , Nicole W da Silva , Adriano G Cruz , Erico MM Flores","doi":"10.1016/j.coche.2025.101120","DOIUrl":"10.1016/j.coche.2025.101120","url":null,"abstract":"<div><div>The extraction of bioactive compounds from natural sources is a topic of great interest. In this sense, ultrasound-assisted extraction (UAE) has emerged as a promising technology for fast and efficient extraction of natural products without high organic solvent consumption. However, most studies on UAE are focused on laboratory scale. In order for this technology to be suitable for industrial applications, more pilot studies need to be developed and discussed. In this sense, this review aimed to address scale-up applications of UAE of natural products developed from 2019 to the first semester of 2024. Applications involving hydrodynamic cavitation were not included in this review. Key parameters related to ultrasound were addressed, such as reactor configuration, process type (batch or continuous), frequency, and others. Furthermore, the major challenges associated with the upscaling of UAE, as well as current trends and future perspectives were discussed. It was observed that flow cells were the main reactor type used in scale-up UAE of natural products and that flow-through was the main operation mode. The use of these devices enabled processing of higher sample volumes, possibly due to more homogeneous energy distribution in the reactor. Hence, further enhancements in this area should be expected. Furthermore, phenolic compounds were the main targets of extraction and low frequencies (<100 kHz) were used. However, a challenge remains regarding the lack of essential information in several publications, which makes comparison between studies difficult, as well as their reproduction. Nevertheless, scale-up UAE of natural products is a promising research area.</div></div>","PeriodicalId":292,"journal":{"name":"Current Opinion in Chemical Engineering","volume":"48 ","pages":"Article 101120"},"PeriodicalIF":8.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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