Discriminating the viscoelastic properties of cellulose textile fibers for recycling

Ella Mahlamäki; Inge Schlapp-Hackl; Marja Rissanen; Michael Hummel; Mikko Mäkelä

doi:10.1016/j.resconrec.2023.106984

Discriminating the viscoelastic properties of cellulose textile fibers for recycling

Ella Mahlamäki, Inge Schlapp-Hackl, Marja Rissanen, Michael Hummel, Mikko Mäkelä^*

^*Corresponding author for this work

VTT Technical Research Centre of Finland

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

The viscoelastic properties of cellulose fibers play an important role in chemical recycling of textiles. Here we discriminated the intrinsic viscosity of cotton roll towels and bed linens using near-infrared imaging spectroscopy and supervised pattern recognition. The classification results showed training and test set accuracies of 84–97% and indicated that the relevant spectral features were related to water, cellulose, and cellulose crystallinity. We hypothesized that the decreasing intrinsic viscosity of cotton was associated with changes in cellulose crystallinity and water adsorption, which was supported by additional X-ray and sorption measurements. These results are important as they indicate the potential to non-invasively estimate the degree of polymerization and the suitability of different cotton materials for chemical recycling. We propose that changes in the degree of polymerization and cellulose crystallinity could be used as an indicator of the chemical quality of cellulose fibers, which would have wider impacts for textile recycling.

Original language	English
Article number	106984
Number of pages	7
Journal	Resources, Conservation and Recycling
Volume	193
Early online date	31 Mar 2023
DOIs	https://doi.org/10.1016/j.resconrec.2023.106984
Publication status	Published - Jun 2023
MoE publication type	A1 Journal article-refereed

Keywords

Cotton
Degree of polymerization
Discriminant analysis
Hyperspectral imaging
Intrinsic viscosity
Near infrared

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.resconrec.2023.106984Licence: CC BY

CHEM_Mahlamaki_et_al_Discriminating_the_viscoelastic_2023_Resources_Conservation_and_RecyclingFinal published version, 1.37 MBLicence: CC BY

Cite this

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title = "Discriminating the viscoelastic properties of cellulose textile fibers for recycling",

abstract = "The viscoelastic properties of cellulose fibers play an important role in chemical recycling of textiles. Here we discriminated the intrinsic viscosity of cotton roll towels and bed linens using near-infrared imaging spectroscopy and supervised pattern recognition. The classification results showed training and test set accuracies of 84–97% and indicated that the relevant spectral features were related to water, cellulose, and cellulose crystallinity. We hypothesized that the decreasing intrinsic viscosity of cotton was associated with changes in cellulose crystallinity and water adsorption, which was supported by additional X-ray and sorption measurements. These results are important as they indicate the potential to non-invasively estimate the degree of polymerization and the suitability of different cotton materials for chemical recycling. We propose that changes in the degree of polymerization and cellulose crystallinity could be used as an indicator of the chemical quality of cellulose fibers, which would have wider impacts for textile recycling.",

keywords = "Cotton, Degree of polymerization, Discriminant analysis, Hyperspectral imaging, Intrinsic viscosity, Near infrared",

author = "Ella Mahlam{\"a}ki and Inge Schlapp-Hackl and Marja Rissanen and Michael Hummel and Mikko M{\"a}kel{\"a}",

note = "Funding Information: Yingfeng Wang and Teemu Airaksinen from Aalto University, School of Chemical Engineering are gratefully acknowledged for measuring the intrinsic viscosity of the cotton bed linens and roll towels. This work was financially supported by the Strategic Research Council of the Academy of Finland under grant agreement no. 327296 – the FINIX project (finix.aalto.fi). ",

year = "2023",

month = jun,

doi = "10.1016/j.resconrec.2023.106984",

language = "English",

volume = "193",

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AU - Mahlamäki, Ella

AU - Schlapp-Hackl, Inge

AU - Rissanen, Marja

AU - Hummel, Michael

AU - Mäkelä, Mikko

N1 - Funding Information: Yingfeng Wang and Teemu Airaksinen from Aalto University, School of Chemical Engineering are gratefully acknowledged for measuring the intrinsic viscosity of the cotton bed linens and roll towels. This work was financially supported by the Strategic Research Council of the Academy of Finland under grant agreement no. 327296 – the FINIX project (finix.aalto.fi).

PY - 2023/6

Y1 - 2023/6

N2 - The viscoelastic properties of cellulose fibers play an important role in chemical recycling of textiles. Here we discriminated the intrinsic viscosity of cotton roll towels and bed linens using near-infrared imaging spectroscopy and supervised pattern recognition. The classification results showed training and test set accuracies of 84–97% and indicated that the relevant spectral features were related to water, cellulose, and cellulose crystallinity. We hypothesized that the decreasing intrinsic viscosity of cotton was associated with changes in cellulose crystallinity and water adsorption, which was supported by additional X-ray and sorption measurements. These results are important as they indicate the potential to non-invasively estimate the degree of polymerization and the suitability of different cotton materials for chemical recycling. We propose that changes in the degree of polymerization and cellulose crystallinity could be used as an indicator of the chemical quality of cellulose fibers, which would have wider impacts for textile recycling.

AB - The viscoelastic properties of cellulose fibers play an important role in chemical recycling of textiles. Here we discriminated the intrinsic viscosity of cotton roll towels and bed linens using near-infrared imaging spectroscopy and supervised pattern recognition. The classification results showed training and test set accuracies of 84–97% and indicated that the relevant spectral features were related to water, cellulose, and cellulose crystallinity. We hypothesized that the decreasing intrinsic viscosity of cotton was associated with changes in cellulose crystallinity and water adsorption, which was supported by additional X-ray and sorption measurements. These results are important as they indicate the potential to non-invasively estimate the degree of polymerization and the suitability of different cotton materials for chemical recycling. We propose that changes in the degree of polymerization and cellulose crystallinity could be used as an indicator of the chemical quality of cellulose fibers, which would have wider impacts for textile recycling.

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KW - Degree of polymerization

KW - Discriminant analysis

KW - Hyperspectral imaging

KW - Intrinsic viscosity

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DO - 10.1016/j.resconrec.2023.106984

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JO - Resources, Conservation and Recycling

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ER -

Discriminating the viscoelastic properties of cellulose textile fibers for recycling

Abstract

Keywords

UN SDGs

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-: Sustainable textile systems: Co-creating resource-wise business for Finland in global textile networks

-: Sustainable textile systems: Co-creating resource-wise business for Finland in global textile networks

Cite this

Discriminating the viscoelastic properties of cellulose textile fibers for recycling

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

-: Sustainable textile systems: Co-creating resource-wise business for Finland in global textile networks

-: Sustainable textile systems: Co-creating resource-wise business for Finland in global textile networks

Cite this