Real-time monitoring of plant nutrient levels,particularly phosphate,is essential for optimizing plant growth and addressing nutrient imbalances in precision agriculture.Conventional sensors mostly suffer from poor st...Real-time monitoring of plant nutrient levels,particularly phosphate,is essential for optimizing plant growth and addressing nutrient imbalances in precision agriculture.Conventional sensors mostly suffer from poor stability,reproducibility,matrix effects,and high costs,limiting their scalability and practical application.To overcome these challenges,a deep learning-integrated remote-gate field-effect transistor sensor utilizing a plant-derived graphene electrode is introduced for enhanced performance and reliability.These solution-processed graphene electrodes,composed of cellulose nanocrystals from plant fibers,are functionalized with phosphate-capturing ferritin and serve as the sensing surface,capacitively coupled to a commercial n-type field-effect transistor to address device variability issues.Deep learning integration significantly improved accuracy,enabling robust and precise phosphate detection.The sensor demonstrates a sensitivity of 14.1 mV dec^(-1) after the pH correction,a coefficient of variation of responses below 5%,and a 1 ng mL^(-1)(1 ppb)detection limit.As a proofof-concept,phosphate levels in Hoagland solution,a standard plant nutrient medium,were monitored,achieving an r 2 of 0.951 and a coefficient of variation of 5.39%.A handheld prototype system further demonstrates its potential for on-site continuous monitoring.This sustainable and costeffective approach provides a scalable solution for real-time phosphate detection with high sensitivity and reproducibility,meeting agricultural demands.展开更多
Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhib...Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhibited at this leading international trade fair for the medical technology supplier sector,a reflection of the company’s growing role in this sector.More than half of FET’s turnover is currently derived from the burgeoning medical market.COMPAMED is aimed at suppliers of a wide range of high-quality medical technology components,services and production equipment for the medical industry.FET’s expanding role in the medical sector is therefore an ideal fit for this trade show.展开更多
据西安电子科技大学网站,近日,西安电子科技大学杭州研究院(西电杭研院)韩根全教授课题组在铁电场效应晶体管(FeFET)存储和存算技术领域取得重要进展,相关研究成果以“Low-power Edge Detection Based on Ferroelectric Field-Effect Tr...据西安电子科技大学网站,近日,西安电子科技大学杭州研究院(西电杭研院)韩根全教授课题组在铁电场效应晶体管(FeFET)存储和存算技术领域取得重要进展,相关研究成果以“Low-power Edge Detection Based on Ferroelectric Field-Effect Transistor”为题发表于《自然·通讯》。展开更多
A much more sustainable,cost effective and very flexible process for manufacturing critical fibres based on ultra high molecular weight polyethylene(UHMWPE)is being launched by the UK’s Fibre Extrusion Technologies(F...A much more sustainable,cost effective and very flexible process for manufacturing critical fibres based on ultra high molecular weight polyethylene(UHMWPE)is being launched by the UK’s Fibre Extrusion Technologies(FET).展开更多
基金financially supported by the National Science Foundation MADEPUBLIC Future Manufacturing Research Grant Program(NSF Award CMMI2037026)SEM and AFM characterization were performed at the Center for Nanoscale Materials,a U.S.Department of Energy(DOE)Office of Science User Facility,supported by the U.S.DOE,Office of Basic Energy Sciences,under Contract No.DE-AC02-06CH11357This work made use of the shared facilities at the University of Chicago Materials Research Science and Engineering Center,supported by the National Science Foundation under award number DMR-2011854.
文摘Real-time monitoring of plant nutrient levels,particularly phosphate,is essential for optimizing plant growth and addressing nutrient imbalances in precision agriculture.Conventional sensors mostly suffer from poor stability,reproducibility,matrix effects,and high costs,limiting their scalability and practical application.To overcome these challenges,a deep learning-integrated remote-gate field-effect transistor sensor utilizing a plant-derived graphene electrode is introduced for enhanced performance and reliability.These solution-processed graphene electrodes,composed of cellulose nanocrystals from plant fibers,are functionalized with phosphate-capturing ferritin and serve as the sensing surface,capacitively coupled to a commercial n-type field-effect transistor to address device variability issues.Deep learning integration significantly improved accuracy,enabling robust and precise phosphate detection.The sensor demonstrates a sensitivity of 14.1 mV dec^(-1) after the pH correction,a coefficient of variation of responses below 5%,and a 1 ng mL^(-1)(1 ppb)detection limit.As a proofof-concept,phosphate levels in Hoagland solution,a standard plant nutrient medium,were monitored,achieving an r 2 of 0.951 and a coefficient of variation of 5.39%.A handheld prototype system further demonstrates its potential for on-site continuous monitoring.This sustainable and costeffective approach provides a scalable solution for real-time phosphate detection with high sensitivity and reproducibility,meeting agricultural demands.
文摘Fibre Extrusion Technology Ltd(FET)of Leeds,UK reported another successful exhibition at COMPAMED 2025 in Dusseldorf,following closely on the heels of ITMA ASIA in Singapore.This was the second time that FET had exhibited at this leading international trade fair for the medical technology supplier sector,a reflection of the company’s growing role in this sector.More than half of FET’s turnover is currently derived from the burgeoning medical market.COMPAMED is aimed at suppliers of a wide range of high-quality medical technology components,services and production equipment for the medical industry.FET’s expanding role in the medical sector is therefore an ideal fit for this trade show.
文摘据西安电子科技大学网站,近日,西安电子科技大学杭州研究院(西电杭研院)韩根全教授课题组在铁电场效应晶体管(FeFET)存储和存算技术领域取得重要进展,相关研究成果以“Low-power Edge Detection Based on Ferroelectric Field-Effect Transistor”为题发表于《自然·通讯》。
文摘A much more sustainable,cost effective and very flexible process for manufacturing critical fibres based on ultra high molecular weight polyethylene(UHMWPE)is being launched by the UK’s Fibre Extrusion Technologies(FET).
