The preparation of medium-sized benzo[b]azocines has always been challenging because of inherently unfavorable enthalpy and entropy factors.This report presents a novel approach for accessing 8-membered seleno-benzo[b...The preparation of medium-sized benzo[b]azocines has always been challenging because of inherently unfavorable enthalpy and entropy factors.This report presents a novel approach for accessing 8-membered seleno-benzo[b]azocines via electrochemically-driven seleno-cyclization.This method enables room-temperature preparation of various structurally diverse medium-sized seleno-benzo[b]azocines.The facile deselenation of the seleno-cyclization products to generate functionalized dienes is an additional benefit of this indispensable reaction.Mechanistic insights are presented based on radical inhibition experiments and cyclic voltammetry measurements,which elucidate the radical pathway.Finally,density functional theory calculations further rationalize the rate-determining step and the unique chemoselectivity observed in this transformation.展开更多
The global rise in non-communicable diseases(NCDs)presents significant public health challenges.Effectively managing and preventing NCDs necessitates a thorough understanding of their causes and progression,which can ...The global rise in non-communicable diseases(NCDs)presents significant public health challenges.Effectively managing and preventing NCDs necessitates a thorough understanding of their causes and progression,which can be achieved through a lifecourse approach to determine past exposures’impact before NCD onset.However,this approach requires robust backing from data,specifically lifecourse cohort data,which are generally insufficient.To overcome this obstacle,three primary strategies have been employed to establish such cohorts:active follow-up cohorts,registry-based datasets,and technology-based data collection and simulation methods.展开更多
基金supported by the National Natural Science Foundation of China(No.21801007)Qingchuang Technology Support Program of University in Shandong Province(No.2021KJ066)S.-F.Ni acknowledges funding from the STU Scientific Research Foundation for Talents(No.NTF20022).
文摘The preparation of medium-sized benzo[b]azocines has always been challenging because of inherently unfavorable enthalpy and entropy factors.This report presents a novel approach for accessing 8-membered seleno-benzo[b]azocines via electrochemically-driven seleno-cyclization.This method enables room-temperature preparation of various structurally diverse medium-sized seleno-benzo[b]azocines.The facile deselenation of the seleno-cyclization products to generate functionalized dienes is an additional benefit of this indispensable reaction.Mechanistic insights are presented based on radical inhibition experiments and cyclic voltammetry measurements,which elucidate the radical pathway.Finally,density functional theory calculations further rationalize the rate-determining step and the unique chemoselectivity observed in this transformation.
基金Supported by the National Natural Science Foundation of China(42271433)the National Key R&D Program of China(2023YFC3604701)+4 种基金the“0 to 1”Innovation Research Project of Sichuan University(2023CX21)the Key R&D Project of Sichuan Province(2023YFS0251)Renmin Hospital of Wuhan University(JCRCYG-2022-003)the Wuhan University Specific Fund for Major School-level Internationalization Initiatives(WHU-GJZDZX-PT07)the International Institute of Spatial Lifecourse Health(ISLE).
文摘The global rise in non-communicable diseases(NCDs)presents significant public health challenges.Effectively managing and preventing NCDs necessitates a thorough understanding of their causes and progression,which can be achieved through a lifecourse approach to determine past exposures’impact before NCD onset.However,this approach requires robust backing from data,specifically lifecourse cohort data,which are generally insufficient.To overcome this obstacle,three primary strategies have been employed to establish such cohorts:active follow-up cohorts,registry-based datasets,and technology-based data collection and simulation methods.
