Dual-fluorophore Raspberry-like Nanohybrids for Ratiometric pH Sensing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Acquah, Isaac | - |
dc.contributor.author | Roh, Jinkyu | - |
dc.contributor.author | Ahn, Dong June | - |
dc.date.accessioned | 2021-09-03T03:50:45Z | - |
dc.date.available | 2021-09-03T03:50:45Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-07-18 | - |
dc.identifier.issn | 1861-4728 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/82813 | - |
dc.description.abstract | We report on the development of raspberry-like silica structures formed by the adsorption of 8-hydroxypyrene-1,3,6-trisulfonate (HPTS)@silica nanoparticles (NPs) on rhodamine B isothiocyanate (RBTIC)@silica NPs for ratiometric fluorescence-based pH sensing. To overcome the well-known problem of dye leaching which occurs during encapsulation of anionic HPTS dye in silica NPs, we utilized a polyelectrolyte-assisted incorporation of the anionic HPTS. The morphological and optical characterization of the as-synthesized dye-doped NPs and the resulting nanohybrids were carried out. The pH-sensitive dye, HPTS, incorporated in the HPTS-doped silica NPs provided a pH-dependent fluorescence response while the RBITC-doped silica provided the reference signal for ratiometric sensing. We evaluated the effectiveness of the nanohybrids for pH sensing; the ratio of the fluorescence emission intensity at 510nm and 583nm at excitation wavelengths of 454nm and 555nm, respectively. The results showed a dynamic response in the acidic pH range. With this approach, nanohybrids containing different dyes or receptors could be developed for multifunctioning and multiplexing applications. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.subject | DOPED SILICA NANOPARTICLES | - |
dc.subject | POLYELECTROLYTE MULTILAYERS | - |
dc.subject | REVERSE MICROEMULSION | - |
dc.subject | OPTICAL SENSORS | - |
dc.subject | FLUORESCENCE | - |
dc.subject | ENCAPSULATION | - |
dc.subject | FABRICATION | - |
dc.subject | RANGE | - |
dc.subject | CELLS | - |
dc.subject | THIN | - |
dc.title | Dual-fluorophore Raspberry-like Nanohybrids for Ratiometric pH Sensing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Dong June | - |
dc.identifier.doi | 10.1002/asia.201700616 | - |
dc.identifier.scopusid | 2-s2.0-85021157424 | - |
dc.identifier.wosid | 000405719100010 | - |
dc.identifier.bibliographicCitation | CHEMISTRY-AN ASIAN JOURNAL, v.12, no.14, pp.1724 - 1729 | - |
dc.relation.isPartOf | CHEMISTRY-AN ASIAN JOURNAL | - |
dc.citation.title | CHEMISTRY-AN ASIAN JOURNAL | - |
dc.citation.volume | 12 | - |
dc.citation.number | 14 | - |
dc.citation.startPage | 1724 | - |
dc.citation.endPage | 1729 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.subject.keywordPlus | DOPED SILICA NANOPARTICLES | - |
dc.subject.keywordPlus | POLYELECTROLYTE MULTILAYERS | - |
dc.subject.keywordPlus | REVERSE MICROEMULSION | - |
dc.subject.keywordPlus | OPTICAL SENSORS | - |
dc.subject.keywordPlus | FLUORESCENCE | - |
dc.subject.keywordPlus | ENCAPSULATION | - |
dc.subject.keywordPlus | FABRICATION | - |
dc.subject.keywordPlus | RANGE | - |
dc.subject.keywordPlus | CELLS | - |
dc.subject.keywordPlus | THIN | - |
dc.subject.keywordAuthor | dual-fluorophore | - |
dc.subject.keywordAuthor | polyelectrolyte | - |
dc.subject.keywordAuthor | raspberry structure | - |
dc.subject.keywordAuthor | ratiometric pH sensors | - |
dc.subject.keywordAuthor | silica nanohybrids | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.