Cited 0 time in
Development of a method for evaluating fabric surface contamination by particulate matter using fluorescent particles
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Seok-Ju | - |
| dc.contributor.author | Hwang, So-Young | - |
| dc.contributor.author | Kwon, Jin-Kyung | - |
| dc.contributor.author | Kim, Young-Sil | - |
| dc.contributor.author | Choi, Eun-Jin | - |
| dc.contributor.author | Kim, Da-Jin | - |
| dc.contributor.author | Kim, Min | - |
| dc.contributor.author | Yook, Se-Jin | - |
| dc.date.accessioned | 2026-05-26T05:00:10Z | - |
| dc.date.available | 2026-05-26T05:00:10Z | - |
| dc.date.issued | 2025-10 | - |
| dc.identifier.issn | 0040-5000 | - |
| dc.identifier.issn | 1754-2340 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212835 | - |
| dc.description.abstract | Functional clothing products are being developed to prevent the attachment of particulate matter (PM). However, currently, PM-blocking performance of such products cannot be quantitatively evaluated. This study developed a method for measuring fabric surface contamination by PM by contaminating textile fabrics with PM and using an image processing technique. Silicate particles exhibiting fluorescence characteristics with a suitable size distribution were selected as PM simulants. The fabric surface contamination was calculated by contaminating textile fabrics under wind speed and PM concentration conditions similar to actual atmospheric environment. The number of pixels was obtained in the black and white binary images converted from the images of the textile fabrics captured under an ultraviolet (UV) light source. Experiments were performed using finished nylon fabric with PM-blocking performance and raw nylon fabric without PM-blocking performance. Comparison of the fabric surface contamination shows that it is possible to evaluate the PM-blocking performance of fabrics. | - |
| dc.format.extent | 9 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Taylor and Francis Ltd. | - |
| dc.title | Development of a method for evaluating fabric surface contamination by particulate matter using fluorescent particles | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1080/00405000.2024.2424505 | - |
| dc.identifier.scopusid | 2-s2.0-85209386271 | - |
| dc.identifier.wosid | 001347199600001 | - |
| dc.identifier.bibliographicCitation | Journal of the Textile Institute, v.116, no.10, pp 2268 - 2276 | - |
| dc.citation.title | Journal of the Textile Institute | - |
| dc.citation.volume | 116 | - |
| dc.citation.number | 10 | - |
| dc.citation.startPage | 2268 | - |
| dc.citation.endPage | 2276 | - |
| dc.type.docType | Article; Early Access | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Textiles | - |
| dc.subject.keywordPlus | INDOOR AIR-QUALITY | - |
| dc.subject.keywordPlus | AMBIENT PM2.5 | - |
| dc.subject.keywordPlus | EUVL MASKS | - |
| dc.subject.keywordPlus | POLLUTION | - |
| dc.subject.keywordPlus | MORTALITY | - |
| dc.subject.keywordPlus | HEALTH | - |
| dc.subject.keywordPlus | EXPOSURE | - |
| dc.subject.keywordPlus | OUTDOOR | - |
| dc.subject.keywordPlus | ASSOCIATIONS | - |
| dc.subject.keywordPlus | HOMES | - |
| dc.subject.keywordAuthor | Air pollution | - |
| dc.subject.keywordAuthor | particulate matter | - |
| dc.subject.keywordAuthor | image processing | - |
| dc.subject.keywordAuthor | fabric | - |
| dc.subject.keywordAuthor | surface contamination | - |
| dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/00405000.2024.2424505 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
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.
