Rapid Determination of the Chemical Composition and Density of Pinus radiata by PLS Modelling of Transmission and Diffuse Reflectance FTIR Spectra

Meder, Roger; Gallagher, Suzanne; Mackie, Keith L.; Böhler, H.; Meglen, Robert R.

doi:10.1515/hf.1999.044

Cited by 58 publications

(56 citation statements)

References 10 publications

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“…Such a flaw is not unusual in these kind of studies (see e.g. Meder et al 1999), but it is usually passed without a mention. The violation causes the parameter estimate variances to become underestimated and, accordingly, the related significance tests to become too optimistic, whereas the parameter estimates themselves are still unbiased (Weisberg 1985).…”

Section: Principal Component Regression Modellingmentioning

confidence: 98%

“…In earlier studies, the relation between lignin content of a wood sample and a Fourier transform infrared (FTIR) spectra measured on it has been quite successfully modelled using linear regression in Eucalyptus globulus (Rodrigues et al 1998), principal component regression (PCR) in Picea sitchensis and biodegraded Pinus radiata (Costa e Silva et al 1999, Ferraz et al 2000, partial least squares (PLS-1) in Pinus radiata (Meder et al 1999), and projection to latent structures (PLS-2; lignin modelled simultaneously with glucan and polyoses) in biodegraded Eucalyptus globulus and Pinus radiata (Ferraz et al 2000). The models have been built with a collection of individual wavenumbers or wavenumber regions or the whole spectrum as the input; the dimension reduction has then been tackled with a theoretically or empirically motivated selection of individual wavenumbers, or with principal component analysis (PCA), or, as in PLS-1 and PLS-2 methods, with a method resembling PCA where the components are formed by maximising not their variances but their covariances with the lignin content.…”

Section: Introductionmentioning

confidence: 99%

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FTIR spectroscopic prediction of Klason and acid soluble lignin variation in Norway spruce cutting clones

Raiskila¹,

Pulkkinen²,

Laakso³

et al. 2007

Silva Fenn.

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Our purpose was to develop a FTIR spectroscopic method to be used to determine the lignin content in a large number of samples and to apply this method studying variation in sapwood and heartwood lignin content between three fast-growing cutting clones grown in three sites. Models were estimated with 18 samples and tested with 6 samples for which the Klason lignin + acid soluble lignin content had been determined. Altogether 272 candidate models were built with all-subset regressions from the principal components estimated from differently treated transmission spectra of the samples; the spectra were recorded on KBr pellets of sieved and unsieved unextracted wood powder and subjected to four different preprocessings and two different wavenumber selection schemes. The final model showed an adequate fit in the estimation data (R 2 = 0.74) as well as a good prediction performance in the test data (R 2 P = 0.90). This model was based on the wavenumber range of 1850-500 cm -1 of the linesubtraction-normalised spectra recorded from sieved samples. The model was used to predict lignin content in 64 samples of the same material. One of the clones had a slightly lower sapwood lignin content than the two other clones. The fertile growing site with fast growing trees showed slightly higher sapwood lignin content compared with the other two sites. The model was also used to predict the lignin content in the earlywood of 45 individual annual rings. Variation between individual stems and between annual rings was found to be large. No correlation was found between the lignin content and density of earlywood.

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Section: Principal Component Regression Modellingmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

FTIR spectroscopic prediction of Klason and acid soluble lignin variation in Norway spruce cutting clones

Raiskila¹,

Pulkkinen²,

Laakso³

et al. 2007

Silva Fenn.

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“…No setor florestal, a técnica é utilizada na estimativa de um grande número de características da madeira, referentes às propriedades físicas (Schimleck et al, 1999), químicas (Meder et al, 1999), mecânicas (Kelley et al, 2005) e anatômicas (Schimleck & Evans, 2004 …”

Section: Sob Regime De Plano De Manejo Florestalunclassified

Avaliação das propriedades energéticas de resíduos de madeiras tropicais com uso da espectroscopia NIR

et al. 2014

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Palavras-chave: espécies nativas, resíduos de florestais, pirólise, infravermelho próximo. Evaluation of the Energy-related Properties of Tropical Wood Waste Using NIR Spectroscopy ABSTRACTThe aim of this study was to evaluate the energy-related potential of wood residues of four Amazonian species and calibrate the properties of wood and charcoal using the Near Infrared Spectrometry (NIRS) technique. Residue slabs of cardeiro (Scleronema micranthum Ducke), cedrinho (Scleronema sp.), louro (Ocotea sp.), and piquiarana (Caryocar villosum Pers.) wood were used. The following properties were determined: density, chemical composition, immediate chemical analysis, and superior calorific value of wood; and yield, immediate chemical analysis, calorific value, and friability of charcoal. NIR spectra were obtained and calibration models were generated for each energy property. The results indicate that residues of these forest species can be used as a renewable energy source. NIR spectroscopy has proved to be a possible tool for calibrating energy properties of wood.

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“…Fourier transform infrared (FTIR) spectroscopy is a proven method to assess wood and its main compounds lignin, cellulose and hemicellulose (Costa e Silva et al 1999;Meder et al 1999;Pandey 1999), but also other wood compounds. Attenuated total reflection (ATR) is a special technique which allows to measure surfaces directly and point by point.…”

Section: Introductionmentioning

confidence: 99%

Aging of wood under long-term storage in a salt environment

et al. 2016

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Aging of archeological wood in a salt environment was assessed in Hallstatt, Upper Austria, where Bronze Age wooden findings of the archeological salt mining site were compared with recent wood samples from the same site. Three species (Picea abies, Abies alba and Fagus sylvatica) were investigated. Recent samples covered all main geological units within the salt valley. FTIR spectroscopy was used to determine differences in wood chemistry. Principal component analysis was used to display the segregation of the data set according to the different factors and to give a measure of the strength of the effects. Results revealed that deacetylation processes took place at the wood material. The aging process affects wood chemistry significantly stronger than differences in earlywood and latewood. Together these two factors accounted for 80 % of data variability. As a third factor, the tree species segregated the data set. Geological differences in the sampling sites were not mirrored in the FTIR spectra.

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Rapid Determination of the Chemical Composition and Density of Pinus radiata by PLS Modelling of Transmission and Diffuse Reflectance FTIR Spectra

Cited by 58 publications

References 10 publications

FTIR spectroscopic prediction of Klason and acid soluble lignin variation in Norway spruce cutting clones

FTIR spectroscopic prediction of Klason and acid soluble lignin variation in Norway spruce cutting clones

Avaliação das propriedades energéticas de resíduos de madeiras tropicais com uso da espectroscopia NIR

Aging of wood under long-term storage in a salt environment

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