Non-destructive nanocellulose coating thickness and grammage determination with near-infrared hyperspectral imaging

Mikko Valkonen, Muhammad Awais, Mikko Mäkelä, Hannes Orelma, Lauri Rautkari

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsProfessional

Abstract

Background
Near-infrared (NIR) hyperspectral imaging (HSI) is a fast, robust, and non-destructive technique to estimate wood polymers reliably. The NIR HSI images contain a three-dimensional structured dataset known as a hypercube which depicts the two-dimensional spatial variation in terms of pixels and the NIR spectral channels as the third dimension. Inspired by Maurer and Leuenberger (2009), non-destructive NIR HSI was used to visualise the heterogeneity of the thickness and grammage (GSM) of the nanocellulosic high-consistency enzymatic fibrillation of cellulose (HefCel) (Pere et al., 2020) surface coating of birch (Betula pendula) (Pramreiter et al., 2020) veneers (BVs) by varying the no. of coating layers. However, finding studies that use NIR HSI for nanocellulose-coated wood and wood products is challenging. (Mäkelä et al., 2020; Schimleck et al., 2022)
Original languageEnglish
Title of host publication18th Annual Meeting of the Northern European Network for Wood Science and Engineering, 21-22 September 2022, Göttingen, Germany
Number of pages3
Publication statusPublished - 16 Aug 2022
MoE publication typeD3 Professional conference proceedings
EventAnnual Meeting of the Northern European Network for Wood Science and Engineering - Georg-August-University Goettingen, Göttingen, Germany
Duration: 21 Sept 202222 Sept 2022
Conference number: 18
https://www.uni-goettingen.de/de/wse+2022/652657.html

Conference

ConferenceAnnual Meeting of the Northern European Network for Wood Science and Engineering
Abbreviated titleWSE
Country/TerritoryGermany
CityGöttingen
Period21/09/202222/09/2022
Internet address

Keywords

  • Non-destructive
  • hyperspectral imaging
  • nanocellulose coating
  • quality control

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