We report a novel double-shelled nanoboxes photocatalyst architecture with tailored interfaces that accelerate quantum efficiency for photocatalytic CO_(2) reduction reaction(CO_(2)RR)via Mo–S bridging bonds sites in...We report a novel double-shelled nanoboxes photocatalyst architecture with tailored interfaces that accelerate quantum efficiency for photocatalytic CO_(2) reduction reaction(CO_(2)RR)via Mo–S bridging bonds sites in S_(v)–In_(2)S_(3)@2H–MoTe_(2).The X-ray absorption near-edge structure shows that the formation of S_(v)–In_(2)S_(3)@2H–MoTe_(2) adjusts the coordination environment via interface engineering and forms Mo–S polarized sites at the interface.The interfacial dynamics and catalytic behavior are clearly revealed by ultrafast femtosecond transient absorption,time-resolved,and in situ diffuse reflectance–Infrared Fourier transform spectroscopy.A tunable electronic structure through steric interaction of Mo–S bridging bonds induces a 1.7-fold enhancement in S_(v)–In_(2)S_(3)@2H–MoTe_(2)(5)photogenerated carrier concentration relative to pristine S_(v)–In_(2)S_(3).Benefiting from lower carrier transport activation energy,an internal quantum efficiency of 94.01%at 380 nm was used for photocatalytic CO_(2)RR.This study proposes a new strategy to design photocatalyst through bridging sites to adjust the selectivity of photocatalytic CO_(2)RR.展开更多
Plastic waste is an underutilized resource that has the potential to be transformed into value-added materials.However,its chemical diversity leads to cost-intensive sorting techniques,limiting recycling and upcycling...Plastic waste is an underutilized resource that has the potential to be transformed into value-added materials.However,its chemical diversity leads to cost-intensive sorting techniques,limiting recycling and upcycling opportunities.Herein,we report an open-loop recycling method to produce graded feedstock from mixed polyolefins waste,which makes up 60%of total plastic waste.The method uses heat flow scanning to quantify the composition of plastic waste and resolves its compatibility through controlled dissolution.The resulting feedstock is then used to synthesize blended pellets,porous sorbents,and superhydrophobic coatings via thermally induced phase separation and spin-casting.The hybrid approach broadens the opportunities for reusing plastic waste,which is a step towards creating a more circular economy and better waste management practices.展开更多
Polyurethanes(PUs)are among the most studied,manufactured,and employed polymers due to their versatility and wide range of applications.However,their synthesis generally relies on toxic,non-renewable,and harmful petro...Polyurethanes(PUs)are among the most studied,manufactured,and employed polymers due to their versatility and wide range of applications.However,their synthesis generally relies on toxic,non-renewable,and harmful petroleum-based chemicals.In recent decades,driven by urgent environmental needs,research activities for the development of alternative synthetic routes for their production have significantly increased,especially to find more sustainable raw materials and procedures that,for example,no longer require dangerous solvents.Given these premises,the main purpose of this review is to highlight the most recent advances in the production of bioderived polyurethanes.After briefly discussing the chemistry of polyurethanes,we focused on the generation of bio-polyols and bio-isocyanates from plant oils and lignocellulosic biomass(e.g.lignin and sugars),as well as on the most recent trends in non-isocyanates polyurethanes(NIPUs)production.Discussions on their fields of application will be key to giving readers an overview of the actual capabilities of these materials.This review aims to cover and discuss the most recent contributions appearing in the literature up to the beginning of 2023.展开更多
With the increasing adoption of wind energy,monitoring systems are crucial to ensuring optimal turbine operation and reliability.This work contributes a methodology to detect rotor imbalance in wind turbines using out...With the increasing adoption of wind energy,monitoring systems are crucial to ensuring optimal turbine operation and reliability.This work contributes a methodology to detect rotor imbalance in wind turbines using output-only vibration data.Furthermore,an extended isolation forest algorithm is proposed for anomaly detection,which is particularly effective in identifying rare and irregular patterns that indicate rotor imbalance.The experimental setup features the Enair E30Pro wind turbine(3 kW)adapted for laboratory use and equipped with triaxial accelerometers to capture comprehensive vibration data in various scenarios of induced imbalance.A dataset is acquired from 65 experiments that simulate different levels of rotor imbalance(used exclusively to test the methodology)and healthy operating conditions(used for training,validation,and testing).Data reshaping and feature engineering techniques,such as permutation entropy,fractal dimension analysis,and kurtosis calculations,are utilized to extract meaningful insights from vibration signals.On 1 min windows,the method achieved a precision of 100%,recall ranging from 60%to 100%,and F1-scores between 75%and 100%.Extending the aggregation to 5 min windows resulted in perfect classification across all categories,with precision,recall,and F1-scores at 100%.To evaluate the effectiveness of the proposed strategy for detecting progressive rotor imbalance,a comparison is made against two widely used literature approaches:the One-Class support vector machine and the traditional isolation forest,and,in each test configuration,the extended isolation forest surpassed these baselines.These results demonstrate the ability of the methodology to effectively distinguish between normal and imbalanced conditions,offering a proof-of-concept methodology for early detection and maintenance planning in wind turbine operations.Importantly,the proposed strategy requires only data from healthy operational states for its development,thus extending its applicability to any wind farm,regardless of the availability of data specifically associated with rotor imbalance conditions.展开更多
基金the Natural Science Foundation of China(11922415,12274471)Guangdong Basic and Applied Basic Research Foundation(2022A1515011168,2019A1515011718,2019A1515011337)the Key Research and Development Program of Guangdong Province,China(2019B110209003).
文摘We report a novel double-shelled nanoboxes photocatalyst architecture with tailored interfaces that accelerate quantum efficiency for photocatalytic CO_(2) reduction reaction(CO_(2)RR)via Mo–S bridging bonds sites in S_(v)–In_(2)S_(3)@2H–MoTe_(2).The X-ray absorption near-edge structure shows that the formation of S_(v)–In_(2)S_(3)@2H–MoTe_(2) adjusts the coordination environment via interface engineering and forms Mo–S polarized sites at the interface.The interfacial dynamics and catalytic behavior are clearly revealed by ultrafast femtosecond transient absorption,time-resolved,and in situ diffuse reflectance–Infrared Fourier transform spectroscopy.A tunable electronic structure through steric interaction of Mo–S bridging bonds induces a 1.7-fold enhancement in S_(v)–In_(2)S_(3)@2H–MoTe_(2)(5)photogenerated carrier concentration relative to pristine S_(v)–In_(2)S_(3).Benefiting from lower carrier transport activation energy,an internal quantum efficiency of 94.01%at 380 nm was used for photocatalytic CO_(2)RR.This study proposes a new strategy to design photocatalyst through bridging sites to adjust the selectivity of photocatalytic CO_(2)RR.
基金NPRP grant number NPRP12S-0325-190443 from the Qatar National Research Fund (a member of the Qatar Foundation)
文摘Plastic waste is an underutilized resource that has the potential to be transformed into value-added materials.However,its chemical diversity leads to cost-intensive sorting techniques,limiting recycling and upcycling opportunities.Herein,we report an open-loop recycling method to produce graded feedstock from mixed polyolefins waste,which makes up 60%of total plastic waste.The method uses heat flow scanning to quantify the composition of plastic waste and resolves its compatibility through controlled dissolution.The resulting feedstock is then used to synthesize blended pellets,porous sorbents,and superhydrophobic coatings via thermally induced phase separation and spin-casting.The hybrid approach broadens the opportunities for reusing plastic waste,which is a step towards creating a more circular economy and better waste management practices.
基金funded by the European Union-NextGenerationEU under the Italian Ministry of University and Research(MUR)National Innovation Ecosystem grant(No.ECS00000041-VITALITY)Universit a degli Studi di Perugia and MUR for support within the project Vitality.The University of Perugia is acknowledged for financial support to the university project“Fondo Ricerca di Ateneo,edizione 2022”.MUR is also thanked for PRIN-PNRR 2022 project(No.P2022XKWH7-CircularWaste)been supported by RUDN University Strategic Academic Leadership Program(R.Luque).
文摘Polyurethanes(PUs)are among the most studied,manufactured,and employed polymers due to their versatility and wide range of applications.However,their synthesis generally relies on toxic,non-renewable,and harmful petroleum-based chemicals.In recent decades,driven by urgent environmental needs,research activities for the development of alternative synthetic routes for their production have significantly increased,especially to find more sustainable raw materials and procedures that,for example,no longer require dangerous solvents.Given these premises,the main purpose of this review is to highlight the most recent advances in the production of bioderived polyurethanes.After briefly discussing the chemistry of polyurethanes,we focused on the generation of bio-polyols and bio-isocyanates from plant oils and lignocellulosic biomass(e.g.lignin and sugars),as well as on the most recent trends in non-isocyanates polyurethanes(NIPUs)production.Discussions on their fields of application will be key to giving readers an overview of the actual capabilities of these materials.This review aims to cover and discuss the most recent contributions appearing in the literature up to the beginning of 2023.
基金grant PID2021-122132OB-C21 funded by MCIN/AEI/10.13039/501100011033 and by“ERDF A way of ing mak-Europe”,by the“European Union”grant TED2021-129512B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the“European Union NextGenerationEU/PRTR”grant 2021-SGR-01044 funded by the Generalitat de Catalunya,Spain.
文摘With the increasing adoption of wind energy,monitoring systems are crucial to ensuring optimal turbine operation and reliability.This work contributes a methodology to detect rotor imbalance in wind turbines using output-only vibration data.Furthermore,an extended isolation forest algorithm is proposed for anomaly detection,which is particularly effective in identifying rare and irregular patterns that indicate rotor imbalance.The experimental setup features the Enair E30Pro wind turbine(3 kW)adapted for laboratory use and equipped with triaxial accelerometers to capture comprehensive vibration data in various scenarios of induced imbalance.A dataset is acquired from 65 experiments that simulate different levels of rotor imbalance(used exclusively to test the methodology)and healthy operating conditions(used for training,validation,and testing).Data reshaping and feature engineering techniques,such as permutation entropy,fractal dimension analysis,and kurtosis calculations,are utilized to extract meaningful insights from vibration signals.On 1 min windows,the method achieved a precision of 100%,recall ranging from 60%to 100%,and F1-scores between 75%and 100%.Extending the aggregation to 5 min windows resulted in perfect classification across all categories,with precision,recall,and F1-scores at 100%.To evaluate the effectiveness of the proposed strategy for detecting progressive rotor imbalance,a comparison is made against two widely used literature approaches:the One-Class support vector machine and the traditional isolation forest,and,in each test configuration,the extended isolation forest surpassed these baselines.These results demonstrate the ability of the methodology to effectively distinguish between normal and imbalanced conditions,offering a proof-of-concept methodology for early detection and maintenance planning in wind turbine operations.Importantly,the proposed strategy requires only data from healthy operational states for its development,thus extending its applicability to any wind farm,regardless of the availability of data specifically associated with rotor imbalance conditions.
