JOURNAL ARTICLE
Pressure‐Sensitive Adhesive Tapes with High Peel Strength Derived from Linseed Oil.
Published In: Macromolecular Chemistry & Physics, 2024, v. 225, n. 5. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Fan, Jingjing; Tang, Yali; Lu, Lixin; Qiu, Xiaolin; Pan, Liao 3 of 3
Abstract
This research attempts to fabricate a novel type of pressure‐sensitive adhesive (PSA) tape utilizing epoxidized linseed oil (ELO) as the primary component in an effort to reduce reliance on petrochemical polymers. This raw material comes from the natural renewable resources, making this tape a more environmentally friendly choice in reducing impact on the environment and alleviating resource pressure. The ester groups on ELO are subjected to hydrolysis in order to yield a combination of epoxy linseed oil fatty acids (ELFAs) containing both epoxy and carboxyl groups. By controlling the temperature and catalyst conditions, the epoxy and carboxyl groups undergo a ring‐opening reaction, resulting in the self‐polymerization of the ELFA mixture and the formation of hydroxy‐functionalized polymers. These polymers are then applied as a coating on kraft paper and subsequently cut to produce PSA tapes. The tapes produced using this method exhibit a peak peel strength of 20.538 N per 25 mm. Moreover, the incorporation of glycerol ester of rosin serves to enhance the peel strength, resulting in a higher value of 21.883 N per 25 mm. The utilization of sealing the cardboard box by the tapes also serves as validation for the immense capabilities of the tapes in practical applications. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Macromolecular Chemistry & Physics. 2024/03, Vol. 225, Issue 5, p1
- Document Type:Article
- Subject Area:Applied Sciences
- Publication Date:2024
- ISSN:1022-1352
- DOI:10.1002/macp.202300331
- Accession Number:175919688
- Copyright Statement:Copyright of Macromolecular Chemistry & Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.