Preparation and Performance Study of Polypropylene Yarn Sensors Based on a Metal–Organic Framework for Sulfite Detection 


Vol. 26,  No. 2, pp. 537-546, Feb.  2025
10.1007/s12221-024-00795-y


PDF
  Abstract

This study focuses on the modification and application of metal–organic framework-5 (MOF-5) material, aiming to combine it optimally with polypropylene (PP) to create a fluorescence detection sensor. This sensor is designed to be highly efficient and sensitive to sulfur dioxide. The process begins with using polypropylene yarn as the base. Under alkaline conditions, dopamine (DA) undergoes oxidative polymerization, introducing an active DA thin layer on the PP yarn surface. This modification facilitates secondary functionalization and provides additional attachment sites, paving the way for the integration of MOF-5-NH2. Subsequently, the amino group-treated MOF-5 is loaded onto the modified DA/PP yarn. The fluorescence induction of the resulting MOF-5-NH2/DA/PP composite yarn to sulfite is then systematically studied. The final MOF-5-NH2/DA/PP composite yarn exhibits satisfactory tensile performance, with a maximum tensile strength of 134.94 Mpa. Notably, the prepared fluorescence detection sensor demonstrates specificity, exhibiting a fluorescence opening effect only in the presence of sulfite, while other gases and ions do not trigger this effect. This research thus presents a novel strategy for the preparation of highly sensitive sulfite sensors.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

C. Chen, L. Wei, X. Zhang, Y. Li, B. Shiu, C. W. Kan, Y. Y. Lin, C. Lou, "Preparation and Performance Study of Polypropylene Yarn Sensors Based on a Metal–Organic Framework for Sulfite Detection," Fibers and Polymers, vol. 26, no. 2, pp. 537-546, 2025. DOI: 10.1007/s12221-024-00795-y.

[ACM Style]

Chunxia Chen, Li Wei, XiaoYang Zhang, YuFei Li, Bing-Chiuan Shiu, Chi Wai Kan, Yan Yu Lin, and Ching-Wen Lou. 2025. Preparation and Performance Study of Polypropylene Yarn Sensors Based on a Metal–Organic Framework for Sulfite Detection. Fibers and Polymers, 26, 2, (2025), 537-546. DOI: 10.1007/s12221-024-00795-y.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

pISSN : 1229 - 9197
eISSN : 1875 - 0052

Impact Factor(2022): 2.5