Formation Mechanism and Size Prediction Models for Double Emulsion CO(2)Solvents
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Seonggon | - |
dc.contributor.author | Xu, Ronghuan | - |
dc.contributor.author | Lim, Hwan Suk | - |
dc.contributor.author | Kang, Yong Tae | - |
dc.date.accessioned | 2021-08-30T12:51:55Z | - |
dc.date.available | 2021-08-30T12:51:55Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.issn | 2196-7350 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/52576 | - |
dc.description.abstract | Double-layered emulsion is a structure that has one more layer over the droplet, which is developed to protect the core material and is applicable to various fields such as food, cosmetic and CO(2)capture. However, the mechanism of double emulsion formation is not well established. In this study, the manufacturing process of hybrid double layered emulsion CO(2)solvents is analyzed to clarify the mechanism of droplet formation and to control encapsulation of chemical absorbent. The droplet formation models are developed by considering dimensionless numbers, which can predict the size of inner and middle droplets of the double emulsion structure. The droplet formation models are verified experimentally. The number of encapsulated solvents can be precisely controlled according to optimum frequencies at which the inner and middle droplets are effectively formed. In particular, the middle phase, which is the ultraviolet curable material, protects inner cores and the thickness of middle phase (shell thickness) can be predicted. Optimum ratio of middle droplet diameter to inner droplet diameter is in the range of 0.7-0.93. The optimal conditions of droplet formation are proposed by the developed models, and it can be extended to other microfluidic devices. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | WILEY | - |
dc.subject | MONODISPERSE DOUBLE EMULSIONS | - |
dc.subject | MICROFLUIDIC DEVICES | - |
dc.subject | RELEASE PROPERTIES | - |
dc.subject | GENERATION | - |
dc.subject | STABILITY | - |
dc.subject | EMULSIFICATION | - |
dc.subject | ENCAPSULATION | - |
dc.subject | DELIVERY | - |
dc.subject | DROPS | - |
dc.title | Formation Mechanism and Size Prediction Models for Double Emulsion CO(2)Solvents | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Yong Tae | - |
dc.identifier.doi | 10.1002/admi.202000618 | - |
dc.identifier.scopusid | 2-s2.0-85089481083 | - |
dc.identifier.wosid | 000560131400001 | - |
dc.identifier.bibliographicCitation | ADVANCED MATERIALS INTERFACES, v.7, no.19 | - |
dc.relation.isPartOf | ADVANCED MATERIALS INTERFACES | - |
dc.citation.title | ADVANCED MATERIALS INTERFACES | - |
dc.citation.volume | 7 | - |
dc.citation.number | 19 | - |
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.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordPlus | MONODISPERSE DOUBLE EMULSIONS | - |
dc.subject.keywordPlus | MICROFLUIDIC DEVICES | - |
dc.subject.keywordPlus | RELEASE PROPERTIES | - |
dc.subject.keywordPlus | GENERATION | - |
dc.subject.keywordPlus | STABILITY | - |
dc.subject.keywordPlus | EMULSIFICATION | - |
dc.subject.keywordPlus | ENCAPSULATION | - |
dc.subject.keywordPlus | DELIVERY | - |
dc.subject.keywordPlus | DROPS | - |
dc.subject.keywordAuthor | double emulsion CO(2)solvents | - |
dc.subject.keywordAuthor | droplet size prediction model | - |
dc.subject.keywordAuthor | formation mechanism | - |
dc.subject.keywordAuthor | optimum formation frequency | - |
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.