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

Year of publication

2021

Authors

Guizani, Chamseddine; Trogen, Mikaela; Zahra, Hilda; Pitkänen, Leena; Moriam, Kaniz; Rissanen, Marja; Mäkelä, Mikko; Sixta, Herbert; Hummel, Michael

Abstract

<p>Cellulose can be dissolved with another biopolymer in a protic ionic liquid and spun into a bicomponent hybrid cellulose fiber using the Ioncell<sup>®</sup> technology. Inside the hybrid fibers, the biopolymers are mixed at the nanoscale, and the second biopolymer provides the produced hybrid fiber new functional properties that can be fine-tuned by controlling its share in the fiber. In the present work, we present a fast and quantitative thermoanalytical method for the compositional analysis of man-made hybrid cellulose fibers by using thermogravimetric analysis (TGA) in combination with chemometrics. First, we incorporated 0–46 wt.% of lignin or chitosan in the hybrid fibers. Then, we analyzed their thermal decomposition behavior in a TGA device following a simple, one-hour thermal treatment protocol. With an analogy to spectroscopy, we show that the derivative thermogram can be used as a predictor in a multivariate regression model for determining the share of lignin or chitosan in the cellulose hybrid fibers. The method generated cross validation errors in the range 1.5–2.1 wt.% for lignin and chitosan. In addition, we discuss how the multivariate regression outperforms more common modeling methods such as those based on thermogram deconvolution or on linear superposition of reference thermograms. Moreover, we highlight the versatility of this thermoanalytical method—which could be applied to a wide range of composite materials, provided that their components can be thermally resolved—and illustrate it with an additional example on the measurement of polyester content in cellulose and polyester fiber blends. The method could predict the polyester content in the cellulose-polyester fiber blends with a cross validation error of 1.94 wt.% in the range of 0–100 wt.%. Finally, we give a list of recommendations on good experimental and modeling practices for the readers who want to extend the application of this thermoanalytical method to other composite materials.</p>
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Organizations and authors

Aalto University

Guizani Chamseddine

Sixta Herbert Orcid -palvelun logo

Zahra Hilda Orcid -palvelun logo

Pitkänen Leena Orcid -palvelun logo

Rissanen Marja Orcid -palvelun logo

Hummel Michael Orcid -palvelun logo

Trogen Mikaela

Moriam Most

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Publisher

SPRINGER

Volume

28

Issue

11

Pages

6797–6812

​Publication forum

53222

​Publication forum level

2

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Chemical sciences; Materials engineering; Biochemistry, cell and molecular biology

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.1007/s10570-021-03923-6

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes