Literature DB >> 30599991

Solid-state NMR method for the quantification of cellulose and polyester in textile blends.

Simone Haslinger1, Sami Hietala2, Michael Hummel3, Sirkka Liisa Maunu4, Herbert Sixta5.   

Abstract

The valorization of cellulose rich textile waste is promoted by the development of a novel solid-state NMR method for the quantification of cellulose and polyester in textile blends. We applied 13C CP-MAS NMR as a tool for the quantification and structural characterization of cellulose in cotton polyester blends. Gaussian functions were used to integrate the spectra obtained from a set of calibration standards in order to calculate a sigmoidal calibration curve. Acid hydrolysis was chosen as a reference method. The results demonstrated that solid-state NMR enables a reliable determination of cellulose and polyester in both preconsumer and postconsumer waste textiles and suggests a possible extension of the concept to blends of man-made cellulose fibers (MMCFs) and polyester.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  CP-MAS NMR; Cellulose crystallinity; Cotton; MMCFs; PET; textile recycling

Mesh:

Substances:

Year:  2018        PMID: 30599991     DOI: 10.1016/j.carbpol.2018.11.052

Source DB:  PubMed          Journal:  Carbohydr Polym        ISSN: 0144-8617            Impact factor:   9.381


  2 in total

1.  Fast and quantitative compositional analysis of hybrid cellulose-based regenerated fibers using thermogravimetric analysis and chemometrics.

Authors:  Chamseddine Guizani; Mikaela Trogen; Hilda Zahra; Leena Pitkänen; Kaniz Moriam; Marja Rissanen; Mikko Mäkelä; Herbert Sixta; Michael Hummel
Journal:  Cellulose (Lond)       Date:  2021-05-28       Impact factor: 5.044

Review 2.  Solid State NMR a Powerful Technique for Investigating Sustainable/Renewable Cellulose-Based Materials.

Authors:  Mustapha El Hariri El Nokab; Mohamed H Habib; Yasser A Alassmy; Marwan M Abduljawad; Khalid M Alshamrani; Khaled O Sebakhy
Journal:  Polymers (Basel)       Date:  2022-03-06       Impact factor: 4.329

  2 in total

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