Quality control of esterified wood using hyperspectral imaging

Katarzyna Kurkowiak; Michael Altgen; Muhammad Awais; Lauri Rautkari; Holger Militz

doi:10.13140/RG.2.2.10395.13608

Quality control of esterified wood using hyperspectral imaging

Katarzyna Kurkowiak
, Michael Altgen
, Muhammad Awais
, Lauri Rautkari
, Holger Militz

Georg August University of Göttingen

Research output: Contribution to conference › Paper › Scientific

Abstract

This study tested the suitability of hyperspectral imaging techniques to visualize the distribution of polyester in softand hardwood species on the cellular (confocal Raman imaging) and on the macrostructural level (hyperspectral NIR imaging). Spectroscopy-based imaging techniques, such as confocal Raman and NIR hyperspectral imaging used in this study, provided information on the chemical changes caused by the SorCA treatment in spatial dimensions. The effect of SorCA treatment on the cellular and macromolecular level was illustrated.

Original language	English
DOIs	https://doi.org/10.13140/RG.2.2.10395.13608
Publication status	Published - 2022
MoE publication type	Not Eligible
Event	Annual Meeting of the Northern European Network for Wood Science and Engineering - Georg-August-University Goettingen, Göttingen, Germany Duration: 21 Sept 2022 → 22 Sept 2022 Conference number: 18 https://www.uni-goettingen.de/de/wse+2022/652657.html

Conference

Conference	Annual Meeting of the Northern European Network for Wood Science and Engineering
Abbreviated title	WSE
Country/Territory	Germany
City	Göttingen
Period	21/09/2022 → 22/09/2022
Internet address	https://www.uni-goettingen.de/de/wse+2022/652657.html

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Cite this

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title = "Quality control of esterified wood using hyperspectral imaging",

abstract = "This study tested the suitability of hyperspectral imaging techniques to visualize the distribution of polyester in softand hardwood species on the cellular (confocal Raman imaging) and on the macrostructural level (hyperspectral NIR imaging). Spectroscopy-based imaging techniques, such as confocal Raman and NIR hyperspectral imaging used in this study, provided information on the chemical changes caused by the SorCA treatment in spatial dimensions. The effect of SorCA treatment on the cellular and macromolecular level was illustrated.",

author = "Katarzyna Kurkowiak and Michael Altgen and Muhammad Awais and Lauri Rautkari and Holger Militz",

year = "2022",

doi = "10.13140/RG.2.2.10395.13608",

language = "English",

note = "Annual Meeting of the Northern European Network for Wood Science and Engineering, WSE ; Conference date: 21-09-2022 Through 22-09-2022",

url = "https://www.uni-goettingen.de/de/wse+2022/652657.html",

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TY - CONF

T1 - Quality control of esterified wood using hyperspectral imaging

AU - Kurkowiak, Katarzyna

AU - Altgen, Michael

AU - Awais, Muhammad

AU - Rautkari, Lauri

AU - Militz, Holger

N1 - Conference code: 18

PY - 2022

Y1 - 2022

N2 - This study tested the suitability of hyperspectral imaging techniques to visualize the distribution of polyester in softand hardwood species on the cellular (confocal Raman imaging) and on the macrostructural level (hyperspectral NIR imaging). Spectroscopy-based imaging techniques, such as confocal Raman and NIR hyperspectral imaging used in this study, provided information on the chemical changes caused by the SorCA treatment in spatial dimensions. The effect of SorCA treatment on the cellular and macromolecular level was illustrated.

AB - This study tested the suitability of hyperspectral imaging techniques to visualize the distribution of polyester in softand hardwood species on the cellular (confocal Raman imaging) and on the macrostructural level (hyperspectral NIR imaging). Spectroscopy-based imaging techniques, such as confocal Raman and NIR hyperspectral imaging used in this study, provided information on the chemical changes caused by the SorCA treatment in spatial dimensions. The effect of SorCA treatment on the cellular and macromolecular level was illustrated.

U2 - 10.13140/RG.2.2.10395.13608

DO - 10.13140/RG.2.2.10395.13608

M3 - Paper

T2 - Annual Meeting of the Northern European Network for Wood Science and Engineering

Y2 - 21 September 2022 through 22 September 2022

ER -

Quality control of esterified wood using hyperspectral imaging

Abstract

Conference

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