Prediction of Properties of Sclerolobium paniculatum and Qualea grandiflora Charcoal

Teddy Diogo Rios Terra; Renato da Silva Vieira; Edy Eime Pereira Baraúna

doi:10.1590/2179-8087.007216

Original Article Wood Technology and Bioenergy

Prediction of Properties of Sclerolobium paniculatum and Qualea grandiflora Charcoal

Teddy Diogo Rios Terra; Renato da Silva Vieira; Edy Eime Pereira Baraúna

http://dx.doi.org/10.1590/2179-8087.007216 FLORAM, vol.26, n1, e20160072, 2019

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Abstract

ABSTRACT: There is a lack of techniques for the rapid and accurate determination of wood quality for charcoal production with good energy characteristics. The association of NIR spectroscopy and important charcoal parameters allows the prediction of these characteristics. This is a fast method that does not require sample preparation before the reading. The spectral readings were performed with solid and ground samples, and presented the second best representation of the evaluated parameters. Data went was adjusted to correct for variations that could occur during the spectra reading. The treatment with the best results was the normal transformation of variation. The evaluated spectra were able to explain 77% of the data for the variable gravimetric yield, 88% for volatile materials content and 86% for fixed carbon content.

Keywords

NIR spectroscopy, wood quality, biomass energy

References

American Society for Testing and Materials – ASTM. E1655-05: Standard Pratices for Infrared Multivariate Quantitative Analysis. West Conshohocken: ASTM; 2000. Vol. 03.06.

Andrade CR, Trugilho PF, Hein PGR, Lima JT, Napoli A. Near infrared spectroscopy for estimating Eucalyptus charcoal properties. Journal of Near Infrared Spectroscopy 2012; 20(6): 657-666. http://dx.doi.org/10.1255/jnirs.1028.

Association Française de Normalisation – AFNOR. AFNOR 1860-2: Partie 2: charbon de bois et briquettes de charbon de bois pour barbecue. Paris: AFNOR; 2000.

Campos ACM, Hein PRG, Mendes RF, Mendes LM, Chaix G. Near infrared spectroscopy to evaluate composition of agro-based particleboards. Bioresources (Raleigh, N.C) 2009; 4: 1058-1069.

Campos ACM, Hein PRG, Vieira RS, Trugilho PF, Napoli A, Chaix G. Aplicação da espectroscopia NIR na estimativa da análise química imediata do carvão vegetal. In: Simaderj - Simpósio de Ciência e Tecnologia da Madeira do Rio de Janeiro; 2008; Seropédica. Seropédica: UFRRJ; 2008.

Duca D, Pizzi A, Rossini G, Mengarelli C, Foppa Pedretti E, Mancini M. Prediction of hardwood and softwood contents in blends of wood powders using mid-infrared spectroscopy. Energy & Fuels 2016; 30(4): 3038-3044. http://dx.doi.org/10.1021/acs.energyfuels.5b02994.

Hein PRG, Chaix G, Clair B, Brancheriau L, Gril J. Spatial variation of wood density, stiffness and microfibril angle along Eucalyptus trunks grown under contrasting growth conditions. Trees (Berlin) 2016; 30(3): 871-882. http://dx.doi.org/10.1007/s00468-015-1327-8.

Hein PRG, Lima JT, Chaix G. Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood. Holzforschung , 2010; 64: 45-54.

Meder R, Stahl W, Warburton P, Woolley S, Earnshaw S, Haselhofer K et al. At-line validation of a process analytical technology approach for quality control of melamine-urea-formaldehyde resin in composite wood-panel production using near infrared spectroscopy. Analytical and Bioanalytical Chemistry 2017; 409(3): 763-771. http://dx.doi.org/10.1007/s00216-016-0098-4. PMid:27915369.

Nisgoski S, Klock U, Batista FRR, Schardosin FZ, Consalter R, Motta ACV. Uso do NIR na discriminação de árvores em diferentes adubações com base nos espectros da madeira e da casca. Ciência da Madeira 2016; 7(2): 100-110. http://dx.doi.org/10.12953/2177-6830/rcm.v7n2p100-110.

Pasquini C. Near infrared spectroscopy: fundamentals, practical aspects and analytical applications. Journal of the Brazilian Chemical Society 2003; 14(2): 198-219. http://dx.doi.org/10.1590/S0103-50532003000200006.

Ramalho FMG, Hein PRG, Andrade JM, Napoli A. Potential of near-infrared spectroscopy for distinguishing charcoal produced from planted and native wood for energy purpose. Energy & Fuels 2017; 31(2): 1593-1599. http://dx.doi.org/10.1021/acs.energyfuels.6b02446.

Samistraro G, Muniz GIB, Peralta-Zamora P, Cordeiro GA. Previsão das propriedades físicas do papel kraft por espectroscopia no infravermelho próximo (NIR) e regressão por mínimos quadrados parciais (PLS). Quimica Nova 2009; 32(6): 1422-1425. http://dx.doi.org/10.1590/S0100-40422009000600011.

Schimleck L, Stürzenbecher R, Jones PD, Evans R. Development of wood property calibrations using near infrared spectra having different spectral resolutions. Journal of Near Infrared Spectroscopy 2004; 12(1): 55-61. http://dx.doi.org/10.1255/jnirs.407.

Terdwongworakul A, Punsuwan V, Thanapase W, Tsuchikawa S. Rapid assessment of wood chemical properties and pulp yield of Eucalyptus camaldulensis in Thailand tree plantations by near infrared spectroscopy for improving wood selection for high quality pulp. Journal of Wood Science 2005; 51(2): 167-171. http://dx.doi.org/10.1007/s10086-004-0633-3.

Vale AT, Dias IS, Santana MAE. Relação entre as propriedades químicas, físicas e energéticas da madeira de cinco espécies do cerrado. Ciência Florestal 2010; 20(1): 137-145.

Viana LC, Trugilho PF, Hein PRG, Lima JT, Silva JRM. Predicting the morphological characteristics and basic density of Eucalyptus wood using the NIRS technique. Cerne 2009; 15: 421-429.

Williams P, Norris K. Near-infrared technology. 2. ed. St. Paul: American Association of Cereal Chemistry, Inc.; 2001.

Prediction of Properties of Sclerolobium paniculatum and Qualea grandiflora Charcoal

Teddy Diogo Rios Terra; Renato da Silva Vieira; Edy Eime Pereira Baraúna

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