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Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
by
Horikawa, Yoshiki
, Hwang, Sung-Wook
, Sugiyama, Junji
, Lee, Won-Hee
in
Architecture
/ Biomedical and Life Sciences
/ Building materials
/ Characterization and Evaluation of Materials
/ chemometrics
/ Construction materials
/ Germany
/ Infrared analysis
/ Korean Peninsula
/ Life Sciences
/ Materials Science
/ Multivariate analysis
/ Near infrared radiation
/ near-infrared spectroscopy
/ Original Article
/ Pine trees
/ Pinus
/ Pinus densiflora
/ prediction
/ Russia
/ species identification
/ Spectra
/ spectral analysis
/ Spectrum analysis
/ Wood
/ Wood Science & Technology
2016
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Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
by
Horikawa, Yoshiki
, Hwang, Sung-Wook
, Sugiyama, Junji
, Lee, Won-Hee
in
Architecture
/ Biomedical and Life Sciences
/ Building materials
/ Characterization and Evaluation of Materials
/ chemometrics
/ Construction materials
/ Germany
/ Infrared analysis
/ Korean Peninsula
/ Life Sciences
/ Materials Science
/ Multivariate analysis
/ Near infrared radiation
/ near-infrared spectroscopy
/ Original Article
/ Pine trees
/ Pinus
/ Pinus densiflora
/ prediction
/ Russia
/ species identification
/ Spectra
/ spectral analysis
/ Spectrum analysis
/ Wood
/ Wood Science & Technology
2016
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
by
Horikawa, Yoshiki
, Hwang, Sung-Wook
, Sugiyama, Junji
, Lee, Won-Hee
in
Architecture
/ Biomedical and Life Sciences
/ Building materials
/ Characterization and Evaluation of Materials
/ chemometrics
/ Construction materials
/ Germany
/ Infrared analysis
/ Korean Peninsula
/ Life Sciences
/ Materials Science
/ Multivariate analysis
/ Near infrared radiation
/ near-infrared spectroscopy
/ Original Article
/ Pine trees
/ Pinus
/ Pinus densiflora
/ prediction
/ Russia
/ species identification
/ Spectra
/ spectral analysis
/ Spectrum analysis
/ Wood
/ Wood Science & Technology
2016
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Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
Journal Article
Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
2016
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Overview
In the present study, we identify similar
Pinus
species that have been used as building materials for traditional architecture in Korea. Discriminant models were designed to identify wood species of
Pinus densiflora
forma
erecta
Uyeki,
P. densiflora
Sieb. et Zucc., and
P. sylvestris
L. grown in Russia and Germany using near-infrared (NIR) spectroscopy coupled with multivariate analysis. Wood block samples are more practical to use in the field for wood identification; however, the face measurements have different spectral characteristics. Thus, we also prepared tablet samples from wood powder to determine the key factors for species identification without the spectral differences resulting from the wood faces.
P
.
densiflora
for.
erecta
and
P
.
densiflora
were clearly classified from
P
.
sylvestris
grown in Russia and Germany with a correct prediction rate of 100 % in both sample types. The discriminant models using wood block samples exhibited good performances as the
R
p
2
values corresponding to NIR spectral regions of 8000–4000 cm
−1
were higher than 0.90. The discriminant models using tablet samples also showed good discriminant performance. The tablet samples reduced the spectral differences of each species in the second derivative NIR spectra. However, using the tablet samples provided more specific species information, resulting in a more accurate classification.
Publisher
Springer Japan,Springer Nature B.V
Subject
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