{"title":"Chemical Regulation of Fluorescence Lifetime","authors":"Jianan Dai, and , Xin Zhang*, ","doi":"10.1021/cbmi.3c00091","DOIUrl":null,"url":null,"abstract":"<p >Fluorescence lifetime has significant applications in the field of fluorescence microscopy. Effective modulation of fluorescence lifetime can be achieved by controlling the radiative versus nonradiative processes of fluorophores. In this review, we systematically analyze and summarize chemical approaches that achieve fluorescence lifetime modulation for three different types of fluorophores, including small molecules, quantum dots, and metal complexes. In particular, this review is focused on the chemical mechanisms underlying fluorescence lifetime, the structure–function relationship that defines how chemical regulation is achieved, and the chemical principles that can be used to modulate different scaffolds of fluorophores. We aim to provide important resources for gaining a deeper understanding of fluorescence lifetime modulation, through in-depth investigation into the modulation mechanisms of various fluorescence systems. Perspectives are also proposed to enable future investigation on fluorescence lifetime modulation, a field that bears promises to drive the advancement and application of fluorescence imaging technology.</p>","PeriodicalId":53181,"journal":{"name":"Chemical & Biomedical Imaging","volume":"1 9","pages":"796–816"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/cbmi.3c00091","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical & Biomedical Imaging","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/cbmi.3c00091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fluorescence lifetime has significant applications in the field of fluorescence microscopy. Effective modulation of fluorescence lifetime can be achieved by controlling the radiative versus nonradiative processes of fluorophores. In this review, we systematically analyze and summarize chemical approaches that achieve fluorescence lifetime modulation for three different types of fluorophores, including small molecules, quantum dots, and metal complexes. In particular, this review is focused on the chemical mechanisms underlying fluorescence lifetime, the structure–function relationship that defines how chemical regulation is achieved, and the chemical principles that can be used to modulate different scaffolds of fluorophores. We aim to provide important resources for gaining a deeper understanding of fluorescence lifetime modulation, through in-depth investigation into the modulation mechanisms of various fluorescence systems. Perspectives are also proposed to enable future investigation on fluorescence lifetime modulation, a field that bears promises to drive the advancement and application of fluorescence imaging technology.
期刊介绍:
Chemical & Biomedical Imaging is a peer-reviewed open access journal devoted to the publication of cutting-edge research papers on all aspects of chemical and biomedical imaging. This interdisciplinary field sits at the intersection of chemistry physics biology materials engineering and medicine. The journal aims to bring together researchers from across these disciplines to address cutting-edge challenges of fundamental research and applications.Topics of particular interest include but are not limited to:Imaging of processes and reactionsImaging of nanoscale microscale and mesoscale materialsImaging of biological interactions and interfacesSingle-molecule and cellular imagingWhole-organ and whole-body imagingMolecular imaging probes and contrast agentsBioluminescence chemiluminescence and electrochemiluminescence imagingNanophotonics and imagingChemical tools for new imaging modalitiesChemical and imaging techniques in diagnosis and therapyImaging-guided drug deliveryAI and machine learning assisted imaging