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Discrimination of amazonian forest species by NIR spectroscopy: wood surface effects

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Abstract

The need for fast and reliable methods to determine wood-producing species at risk of extinction in tropical forests has become increasingly evident. The aim of this study was to evaluate the potential of near infrared (NIR) technology to identify these types of wood species in Amazon forests by developing multivariate models for the spectral signatures of wood specimens processed by circular saws and chainsaws. Three trees of six species from the Legal Amazon were evaluated (Manilkara elata, Dinizia excelsa, Goupia glabra, Hymenaea sp., Micropholis melinoniana and Copaifera sp.), of which 350 wood specimens were cut with chainsaws and circular saws. The processing-type effect on the information quality recorded on wood surfaces was evaluated in terms of the performance of the classification of tropical wood species through cross validation and independent sets based on partial least squares-discriminant analysis (PLS-DA). The results indicated that PLS-DA models based on spectral signatures recorded on wood surfaces processed with a circular saw achieved a higher percentage of correct classifications (99.2%), while models based on spectral signatures taken from wood surfaces processed with a chainsaw correctly classified 95.2% of the specimens. This study suggests that unknown wood samples belonging to these species can be correctly and satisfactorily preclassified regardless of the tool used for sampling the wood before identification, inspection and commercialization operations.

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References

  • Ayanleye S, Nasir V, Avramidis S, Cool J (2021) Effect of wood surface roughness on prediction of structural timber properties by infrared spectroscopy using ANFIS, ANN and PLS regression. Eur J Wood Prod (2021) 79:101–115

  • Bastos LF, Alessio KO, Menezes CM, Costa AB, Marder L (2012) Aplicação da espectroscopia no infravermelho próximo e da análise exploratória de dados para identificação de madeiras na indústria de móveis / Application of near-infrared spectroscopy and exploratory data analysis for wood identification in the furniture industry. Revista TECNO-LÓGICA 16:25–29

    CAS  Google Scholar 

  • Costa ACPR, Ramalho FMG, Costa LR, Trugilho PF, Hein PRG (2019) Classification of Commercial Charcoal for Domestic Use by Near Infrared Spectroscopy. Revista Biomass and Bioenergy 127:105280 ref.22

  • Costa LR, Trugilho PF, Hein PRG (2018) Evaluation and classification of eucalypt charcoal quality by near infrared spectroscopy. Revista Biomass and Bioenergy 112:85–92

    Article  CAS  Google Scholar 

  • Cury G, Tomazello Filho M (2011) Descrição Anatômica de Espécies de Madeira Utilizadas na Construção Civil / Anatomical Description of Wood Species Used in Civil Construction. Floresta e Ambiente 18:227–236

    Article  Google Scholar 

  • Durgante FM, Higuchi N, Almeida A, Vicentini A (2013) Species Spectral Signature: Discriminating closely related plant species in the Amazon with Near-Infrared Leaf-Spectroscopy. For Ecol Manage 209:240–248

    Article  Google Scholar 

  • Martins da Silva RCV, Hopkins MJG, Thompson IS (2003) Identificação botânica na Amazônia: situação atual e perspectivas / Botanical identification in the Amazon: current situation and perspectives. Belém, Embrapa Amazônia Oriental. (Documento 169). 81p

  • Nunes CA, Freitas MP, Pinheiro ACM, Bastos SC (2012) Chemoface: a novel free user-friendly interface for chemometrics. J Braz Chem Soc 23:2003–2010

    Article  CAS  Google Scholar 

  • Oliveira AA, Siqueira PH, Nisgoski S, Bolzon de Muniz GI, Ferreira JH (2015) Identificação de Madeiras utilizando a Espectrometria no Infravermelho Próximo e Redes Neurais Artificiais / Wood Identification Using Near Infrared Spectrometry and Artificial Neural Networks. Tend Mat Apl Comput 16:81–95

    Article  Google Scholar 

  • Pace JHC, Latorraca JVF, Hein PRG, Castro JP, Carvalho AM, Silva CES (2019) Wood species identification from Atlantic forest by near infrared spectroscopy. For Syst 28:e015

    Google Scholar 

  • Pastore TCM, Braga JWB, Coradin VTR, Camargo JAA, da Silva AR (2011a) The use of near infrared spectroscopy to identify solid wood specimens of swietenia macrophylla. International Association of Wood Anatomists – IAWA; Journal 32: 285–296

  • Pastore TCM, Braga JWB, Coradin VTR, Magalhães WLE, Okino EYA, Camargos JAA, Muñiz GIB, Bressan OA, Davrieux F (2011b) Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: Discrimination of true mahogany, cedar, andiroba, and curupixa. Holzforschung 65:73–80

    Article  CAS  Google Scholar 

  • Pigozzo RJB (2011) Espectroscopia no Infravermelho Próximo em madeiras neotropicais: Aplicação na identificação e predição de propriedades físicas / Near Infrared Spectroscopy in Neotropical Woods: Application in the Identification and Prediction of Physical Properties. Dissertação de Mestrado. Instituto de Biociência da Universidade de São Paulo – Departamento de Botânica, p 97

  • Procópio LC, Secco RS (2008) The importance of botanical identification in forest inventories: the example of the “tauari” (Couratari spp. and Cariniana spp. - Lecythidaceae) in two managed areas in the state of Pará. Acta Amazonica 38:31–44

  • Ramalho FMG, Hein PRG, Andrade JM, Napoli A (2017) Potential of Near-Infrared Spectroscopy for Distinguishing Charcoal Produced from Planted and Native Wood for Energy Purpose. Revista Energy Fuels 31:1593–1599

    Article  CAS  Google Scholar 

  • Reis ARS (2015) Wood anatomy of four Aspidosperma Mart. & Zucc species commercialized in the state of Pará, Brazil. Brazilian J Wood Sci 6:47–62

  • Rocha HS, Braga JWB, Kunze DCGC, Coradin VTR, Pastore TCM (2021) Identification of mahogany sliced veneer using handheld near-infrared spectroscopy device and multivariate data analysis. Int Association Wood Anatomists - IAWA J 42(3):336–347

    Google Scholar 

  • Sandak J, Sandak A, Meder R (2016) Tutorial - assessing trees, wood and derived products with near infrared spectroscopy: hints and tips. J Near Infrared Spectrosc 2016; 24: 485–505

  • Santos JX, Vieira HC, Silva EL, Muñiz GIB, Soffiatti P, Nisgoski S (2020) Near infrared spectroscopy for separation of tauari wood in brazilian Amazon native forest. J Trop For Sci 32:227–236

    Google Scholar 

  • Soares LF, da Silva DC, Bergoa MCJ, Coradin VTR, Braga JWB, Pastore TCM (2017) Avaliação de Espectrômetro NIR Portátil e PLS-DA para a discriminação de seis espécies similares de madeiras Amazônicas / Evaluation of a nir handheld device and pls-da for discrimination of six similar amazonian wood species. Quim Nova 40:418–426

    CAS  Google Scholar 

  • Schwanninger M, Rodrigues JC, Fackler K (2011) A review of band assignments in near infrared spectra of wood and wood components. J Near Infrared Spectrosc 19(5):287–308

    Article  CAS  Google Scholar 

  • Tsuchikawa S, Kobori H (2015) A review of recent application of near infrared spectroscopy to wood science and technology. J Wood Sci 61:213–220

    Article  CAS  Google Scholar 

  • Yang Z, Liu Y, Pang X, Li K (2015) Preliminary Investigation into the Identification of Wood Species from Different Locations by Near Infrared Spectroscopy. Revista BioResources 10:8505–8517

    CAS  Google Scholar 

  • Zhou Z, Rahimi S, Avramidis S (2020) On–line species identification of green hem–fir timber mix based on near infrared spectroscopy and chemometrics. Eur J Wood Prod (2020) 78:151–160

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Funding

PRG Hein was supported by CNPq grants (process no. 309620/2020-1).

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Authors and Affiliations

  1. Institute of Agrarian Sciences, Federal Rural University of Amazonia, Perimetral Av, 66077-901, Belém, PA, PO Box 917, Brazil

    Thiago Valente Novaes¹, Marcela Gomes da Silva & Gracialda Costa Ferreira

  2. Department of Forest Sciences, Federal University of Lavras, 372000- 900, Lavras, MG, PO Box 3037, Brazil

    Fernanda Maria Guedes Ramalho, Elesandra da Silva Araujo, Michael Douglas Roque Lima & Paulo Ricardo Gherardi Hein

Authors
  1. Thiago Valente Novaes¹
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  2. Fernanda Maria Guedes Ramalho
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  3. Elesandra da Silva Araujo
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  4. Michael Douglas Roque Lima
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  5. Marcela Gomes da Silva
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  6. Gracialda Costa Ferreira
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  7. Paulo Ricardo Gherardi Hein
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All the authors have accepted responsibility for the entire content of this submitted manuscript and approved its submission.

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Correspondence to Thiago Valente Novaes¹.

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Novaes¹, T.V., Ramalho, F.M.G., da Silva Araujo, E. et al. Discrimination of amazonian forest species by NIR spectroscopy: wood surface effects. Eur. J. Wood Prod. 81, 159–172 (2023). https://doi.org/10.1007/s00107-022-01862-y

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  • DOI: https://doi.org/10.1007/s00107-022-01862-y

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