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A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation
To accelerate the industrialization of bicomponent fibers, fiber-based flexible devices, and other technical fibers and to protect the property rights of inventors, it is necessary to develop fast, economical, and easy-to-test methods to provide some guidance for formulating relevant testing standar...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964497/ https://www.ncbi.nlm.nih.gov/pubmed/36850127 http://dx.doi.org/10.3390/polym15040842 |
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author | Qin, Jieyao Lu, Mingxi Li, Bin Li, Xiaorui You, Guangming Tan, Linjian Zhai, Yikui Huang, Meilin Wu, Yingzhu |
author_facet | Qin, Jieyao Lu, Mingxi Li, Bin Li, Xiaorui You, Guangming Tan, Linjian Zhai, Yikui Huang, Meilin Wu, Yingzhu |
author_sort | Qin, Jieyao |
collection | PubMed |
description | To accelerate the industrialization of bicomponent fibers, fiber-based flexible devices, and other technical fibers and to protect the property rights of inventors, it is necessary to develop fast, economical, and easy-to-test methods to provide some guidance for formulating relevant testing standards. A quantitative method based on cross-sectional in-situ observation and image processing was developed in this study. First, the cross-sections of the fibers were rapidly prepared by the non-embedding method. Then, transmission and reflection metallographic microscopes were used for in-situ observation and to capture the cross-section images of fibers. This in-situ observation allows for the rapid identification of the type and spatial distribution structure of the bicomponent fiber. Finally, the mass percentage content of each component was calculated rapidly by AI software according to its density, cross-section area, and total test samples of each component. By comparing the ultra-depth of field microscope, differential scanning calorimetry (DSC), and chemical dissolution method, the quantitative analysis was fast, accurate, economical, simple to operate, energy-saving, and environmentally friendly. This method will be widely used in the intelligent qualitative identification and quantitative analysis of bicomponent fibers, fiber-based flexible devices, and blended textiles. |
format | Online Article Text |
id | pubmed-9964497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99644972023-02-26 A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation Qin, Jieyao Lu, Mingxi Li, Bin Li, Xiaorui You, Guangming Tan, Linjian Zhai, Yikui Huang, Meilin Wu, Yingzhu Polymers (Basel) Article To accelerate the industrialization of bicomponent fibers, fiber-based flexible devices, and other technical fibers and to protect the property rights of inventors, it is necessary to develop fast, economical, and easy-to-test methods to provide some guidance for formulating relevant testing standards. A quantitative method based on cross-sectional in-situ observation and image processing was developed in this study. First, the cross-sections of the fibers were rapidly prepared by the non-embedding method. Then, transmission and reflection metallographic microscopes were used for in-situ observation and to capture the cross-section images of fibers. This in-situ observation allows for the rapid identification of the type and spatial distribution structure of the bicomponent fiber. Finally, the mass percentage content of each component was calculated rapidly by AI software according to its density, cross-section area, and total test samples of each component. By comparing the ultra-depth of field microscope, differential scanning calorimetry (DSC), and chemical dissolution method, the quantitative analysis was fast, accurate, economical, simple to operate, energy-saving, and environmentally friendly. This method will be widely used in the intelligent qualitative identification and quantitative analysis of bicomponent fibers, fiber-based flexible devices, and blended textiles. MDPI 2023-02-08 /pmc/articles/PMC9964497/ /pubmed/36850127 http://dx.doi.org/10.3390/polym15040842 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Qin, Jieyao Lu, Mingxi Li, Bin Li, Xiaorui You, Guangming Tan, Linjian Zhai, Yikui Huang, Meilin Wu, Yingzhu A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title_full | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title_fullStr | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title_full_unstemmed | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title_short | A Rapid Quantitative Analysis of Bicomponent Fibers Based on Cross-Sectional In-Situ Observation |
title_sort | rapid quantitative analysis of bicomponent fibers based on cross-sectional in-situ observation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964497/ https://www.ncbi.nlm.nih.gov/pubmed/36850127 http://dx.doi.org/10.3390/polym15040842 |
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