Potential use of NIR spectroscopy to identify Cryptomeria japonica varieties from southern Brazil

Nisgoski, Silvana; Schardosin, Felipe Zatt; Batista, Francielli Rodrigues Ribeiro; Muñiz, Graciela Inés Bolzón de; Carneiro, Mayara Elita

doi:10.1007/s00226-015-0783-z

Cited by 19 publications

(15 citation statements)

References 38 publications

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“…Chemical and anatomical composition of species results in different NIR absorbance values, and for discrimination some regions can have more influence. A spectral range from 4249-6100 cm -1 was efficient in distinguishing wood species similar to mahogany ) and 4000-6200 cm -1 showed potential in discriminating six origins of Criptomeria japonica planted in southern Brazil (Nisgoski et al 2016). In this study with "angelim" species, regions with influence of water content were eliminated, and comparing wood and charcoal, two regions presented some differences, from 6200 to 5500 cm -1 (Figure 3a) and from 5000 to 4000 cm -1 (Figure 3b).…”

Section: Nir Characteristics Of Wood and Charcoalmentioning

confidence: 99%

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy

Muñiz

Carneiro

Batista

et al. 2016

Maderas, Cienc. tecnol.

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Samples of wood sold as "angelim" in Brazil were studied. Disks from the trunks of Diplotropis purpurea, Hymenolobium petraeum, Parkia pendula, Vatairea guianensis and Vatairea paraensis were obtained from Mato Grosso state. Samples from pith to bark of each species were obtained, oriented in the three anatomical planes. Each sample was wrapped in aluminum foil and carbonized in a muffle furnace, with a final temperature of 450 °C and a heating rate of 1,66 °C min -1. The description of the anatomical elements of wood and charcoal samples followed the orientations of the International Association of Wood Anatomists, on the basis of 25 readings regarding frequency and tangential diameter of the vessels and height and width of the rays in micrometers. Infrared analyses were performed with a Bruker Tensor 37 spectrophotometer equipped with an integrating sphere and operating in reflectance mode, with resolution of 4 cm -1 and a spectral range of 10000-4000 cm -1. The wood and charcoal samples were placed on top of integrating sphere and one spectrum was obtained from each surface, resulting in six spectra for each physical sample. The results of anatomical analysis showed that the qualitative characteristics of wood remained in charcoal, so the method can be applied for species discrimination. When comparing cell dimensions, we observed different behavior between species in the same carbonization process in function of cell wall thickness and parenchyma distribution. In infrared analysis, pretreatment influenced adequate discrimination of "angelim" species in wood and charcoal. Linear discriminant analysis based on PCA scores and the region between 4000-6200 cm -1 was more efficient. Near infrared analysis can be used for differentiation of wood and charcoal of "angelim" species.

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Section: Nir Characteristics Of Wood and Charcoalmentioning

confidence: 99%

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy

Muñiz

Carneiro

Batista

et al. 2016

Maderas, Cienc. tecnol.

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“…Braga et al employed NIR spectroscopy and PLS-DA to discriminate Swietenia macrophylla (CITES Appendix II) from three similar species [3]. Nisgoski et al applied NIR spectroscopy to distinguish six Cryptomeria japonica varieties on the basis of needles and wood samples [4]. As for CITES-listed Gonystylus species, Ng et al [5] indicated that 90% of Gonystylus species can be identified on the basis of DNA barcode sequence.…”

Section: Introductionmentioning

confidence: 99%

Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification

Via

Young

et al. 2019

Forests

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This study aimed to rapidly and accurately identify geographical origin, tree species, and model wood density using visible and near infrared (Vis-NIR) spectroscopy coupled with chemometric methods. A total of 280 samples with two origins (Jilin and Heilongjiang province, China), and three species, Dahurian larch (Larix gmelinii (Rupr.) Rupr.), Japanese elm (Ulmus davidiana Planch. var. japonica Nakai), and Chinese white poplar (Populus tomentosa carriere), were collected for classification and prediction analysis. The spectral data were de-noised using lifting wavelet transform (LWT) and linear and nonlinear models were built from the de-noised spectra using partial least squares (PLS) and particle swarm optimization (PSO)-support vector machine (SVM) methods, respectively. The response surface methodology (RSM) was applied to analyze the best combined parameters of PSO-SVM. The PSO-SVM model was employed for discrimination of origin and species. The identification accuracy for tree species using wavelet coefficients were better than models developed using raw spectra, and the accuracy of geographical origin and species was greater than 98% for the prediction dataset. The prediction accuracy of density using wavelet coefficients was better than that of constructed spectra. The PSO-SVM models optimized by RSM obtained the best results with coefficients of determination of the calibration set of 0.953, 0.974, 0.959, and 0.837 for Dahurian larch, Japanese elm, Chinese white poplar (Jilin), and Chinese white poplar (Heilongjiang), respectively. The results showed the feasibility of Vis-NIR spectroscopy coupled with chemometric methods for determining wood property and geographical origin with simple, rapid, and non-destructive advantages.

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“…Soil characteristics, such as nutrient availability, physical properties and carbon content, can also influence tree growth and wood properties (BALIGAR et al, 2007;FAGERIA, 2012). In a study with six provenances of Criptomeria japonica planted in the same region, nearinfrared analysis was able to discriminate them (NISGOSKI et al, 2016b), whereas in an experiment of different fertilization in pines species, the influence of individual tree was more evident than that of the treatment (NISGOSKI et al, 2016a).…”

Section: Nir Spectroscopymentioning

confidence: 96%

“…Near-infrared (NIR) studies with wood samples for origin discrimination were described by Sandak et al (2011), who found relations between the spectra and the origin of trees grown in different locations in Europe; Nisgoski et al (2016b), who observed the sensitivity of near-infrared spectra in discrimination of six provenances of Criptomeria japonica growing in the same region; and Hwang et al (2016), who studied pine species from different countries. The application of mid-infrared (MID) spectroscopy enabled the distinction of beech trees grown at different sites (RANA et al, 2008), types of wood-plastic composites (LEE et al, 2010), separation between species of the orders Fagales and Malpighiales (CARBALLO-MEILAN et al, 2014), suitability of wood species to make artistic objects (BUOSO et al, 2016), and characteristics of archeological wood (TRAORÉ et al, 2016), among others.…”

Section: Introductionmentioning

confidence: 99%

Influence of toposequence position of Stryphnodendron adstringens trees on discrimination of samples based on spectroscopy

Nisgoski

Gonçalves

Oliveira

et al. 2018

RCM

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Stryphnodendron adstringens is a native species from Caatinga and Cerrado biomes. The chemical composition of species is variable and depends on the part of the tree, as well as on genetic and soil characteristics related to the origin of the population. This paper describes the influence of toposequence position of trees on the discrimination of wood and bark samples based on visible (VIS), near-infrared (NIR) and mid-infrared (MID) spectroscopy. A total of 28 trees were collected in the northern part of Cerrado State Park in the municipality of Jaguariaíva, Paraná state, Brazil, in different types of soil, at seven positions (0, 100, 200, 300, 400, 500 and 600 m) of the toposequence. The results showed the influence of the position of trees. The bark was classified as dark brown and the wood as rose-grey. VIS spectra was not efficient in sample discrimination. The Principal Component Analysis (PCA) of NIR spectra presented two groups that can be related to the the type of soil: (i) 0-300 m-Red-Yellow Latosol and Haplic Cambisol; (ii) 400-600 m-Red Latosol. MID infrared spectra of bark also showed the distinction of two previous groups; and analysis based on wood spectra of trees collected on 0-100m presented discrimination from other positions.

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Potential use of NIR spectroscopy to identify Cryptomeria japonica varieties from southern Brazil

Cited by 19 publications

References 38 publications

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy

Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification

Influence of toposequence position of Stryphnodendron adstringens trees on discrimination of samples based on spectroscopy

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Potential use of NIR spectroscopy to identify Cryptomeria japonica varieties from southern Brazil

Cited by 19 publications

References 38 publications

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as &#8220;Angelim&#8221; by Near-IR and wood anatomy

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as &#8220;Angelim&#8221; by Near-IR and wood anatomy

Visible-Near Infrared Spectroscopy and Chemometric Methods for Wood Density Prediction and Origin/Species Identification

Influence of toposequence position of Stryphnodendron adstringens trees on discrimination of samples based on spectroscopy

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Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy

Wood and charcoal identification of five species from the miscellaneous group known in Brazil as “Angelim” by Near-IR and wood anatomy