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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...

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Autores principales: Qin, Jieyao, Lu, Mingxi, Li, Bin, Li, Xiaorui, You, Guangming, Tan, Linjian, Zhai, Yikui, Huang, Meilin, Wu, Yingzhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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