Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics

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Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics. / Mancini, Manuela; Rinnan, Åsmund.

I: Analytica Chimica Acta, Bind 1275, 341564, 2023.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Mancini, M & Rinnan, Å 2023, 'Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics', Analytica Chimica Acta, bind 1275, 341564. https://doi.org/10.1016/j.aca.2023.341564

APA

Mancini, M., & Rinnan, Å. (2023). Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics. Analytica Chimica Acta, 1275, [341564]. https://doi.org/10.1016/j.aca.2023.341564

Vancouver

Mancini M, Rinnan Å. Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics. Analytica Chimica Acta. 2023;1275. 341564. https://doi.org/10.1016/j.aca.2023.341564

Author

Mancini, Manuela ; Rinnan, Åsmund. / Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics. I: Analytica Chimica Acta. 2023 ; Bind 1275.

Bibtex

@article{5cf4a521c5504b7bb3c96c37e2672f55,
title = "Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics",
abstract = "In Europe, the volume of waste wood is increasing. Waste wood can be reused, promoting circular economy and avoiding landfills. It can be used as a bioenergy feedstock reducing the use of fossil fuels, or be reused for producing new composite wood material. Only wood with hazardous substances needs to be disposed. To this aim waste wood samples were collected from a panel board company and several recycling centres in Italy and Denmark. The samples were assigned to waste wood categories and analysed by Near Infrared Spectroscopy. Principal Component Analysis was used to investigate sample variability and Soft Independent Modelling of Class Analogies (SIMCA) for classifying the samples according to the appropriate reuse: energy production, panel board production or landfill. The results are good, with a classification rate of 90% for virgin wood material and 86.7% for treated wood material. The classification of waste wood is key for turning it into a secondary resource.",
keywords = "Circular economy, Classification, Material reuse, Sorting, Spectroscopy",
author = "Manuela Mancini and {\AA}smund Rinnan",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2023",
doi = "10.1016/j.aca.2023.341564",
language = "English",
volume = "1275",
journal = "Analytica Chimica Acta",
issn = "0003-2670",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics

AU - Mancini, Manuela

AU - Rinnan, Åsmund

N1 - Publisher Copyright: © 2023 The Authors

PY - 2023

Y1 - 2023

N2 - In Europe, the volume of waste wood is increasing. Waste wood can be reused, promoting circular economy and avoiding landfills. It can be used as a bioenergy feedstock reducing the use of fossil fuels, or be reused for producing new composite wood material. Only wood with hazardous substances needs to be disposed. To this aim waste wood samples were collected from a panel board company and several recycling centres in Italy and Denmark. The samples were assigned to waste wood categories and analysed by Near Infrared Spectroscopy. Principal Component Analysis was used to investigate sample variability and Soft Independent Modelling of Class Analogies (SIMCA) for classifying the samples according to the appropriate reuse: energy production, panel board production or landfill. The results are good, with a classification rate of 90% for virgin wood material and 86.7% for treated wood material. The classification of waste wood is key for turning it into a secondary resource.

AB - In Europe, the volume of waste wood is increasing. Waste wood can be reused, promoting circular economy and avoiding landfills. It can be used as a bioenergy feedstock reducing the use of fossil fuels, or be reused for producing new composite wood material. Only wood with hazardous substances needs to be disposed. To this aim waste wood samples were collected from a panel board company and several recycling centres in Italy and Denmark. The samples were assigned to waste wood categories and analysed by Near Infrared Spectroscopy. Principal Component Analysis was used to investigate sample variability and Soft Independent Modelling of Class Analogies (SIMCA) for classifying the samples according to the appropriate reuse: energy production, panel board production or landfill. The results are good, with a classification rate of 90% for virgin wood material and 86.7% for treated wood material. The classification of waste wood is key for turning it into a secondary resource.

KW - Circular economy

KW - Classification

KW - Material reuse

KW - Sorting

KW - Spectroscopy

U2 - 10.1016/j.aca.2023.341564

DO - 10.1016/j.aca.2023.341564

M3 - Journal article

C2 - 37524459

AN - SCOPUS:85165377062

VL - 1275

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

M1 - 341564

ER -

ID: 361591107