On the rapid and non-destructive approach for wood identification using ATR-FTIR spectroscopy and chemometric methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F20%3A43918099" target="_blank" >RIV/62156489:43410/20:43918099 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.vibspec.2020.103097" target="_blank" >https://doi.org/10.1016/j.vibspec.2020.103097</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.vibspec.2020.103097" target="_blank" >10.1016/j.vibspec.2020.103097</a>

Jazyk výsledku

angličtina

Název v původním jazyce

On the rapid and non-destructive approach for wood identification using ATR-FTIR spectroscopy and chemometric methods

Popis výsledku v původním jazyce

The present study offers a rapid and non-destructive approach for wood identification utilizing Attenuated total reflection Fourier transform infrared (ATR-FTIR) analytical technique with chemometric methods. This will estimate the source of origin of unknown wood samples or matching of two or more than two wood samples, for its applications in the wood and forensic science. The discrimination of wood samples is achieved by using multivariate statistical analysis including Hierarchical cluster analysis (HCA), and principal component analysis (PCA). The linear discrimination analysis (LDA) is also used for classifying the unknown wood samples into the respective class of wood sample. The presented methodology provides a proof-of-concept, fast, non-destructive, discrimination and classification of wood samples.

Název v anglickém jazyce

On the rapid and non-destructive approach for wood identification using ATR-FTIR spectroscopy and chemometric methods

Popis výsledku anglicky

The present study offers a rapid and non-destructive approach for wood identification utilizing Attenuated total reflection Fourier transform infrared (ATR-FTIR) analytical technique with chemometric methods. This will estimate the source of origin of unknown wood samples or matching of two or more than two wood samples, for its applications in the wood and forensic science. The discrimination of wood samples is achieved by using multivariate statistical analysis including Hierarchical cluster analysis (HCA), and principal component analysis (PCA). The linear discrimination analysis (LDA) is also used for classifying the unknown wood samples into the respective class of wood sample. The presented methodology provides a proof-of-concept, fast, non-destructive, discrimination and classification of wood samples.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20502 - Paper and wood

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Vibrational Spectroscopy

ISSN

0924-2031

e-ISSN

—

Svazek periodika

110

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

103097

Kód UT WoS článku

000605624900001

EID výsledku v databázi Scopus

2-s2.0-85087403388