USE OF NIRS TECHNOLOGY FOR PREDICTION OF NUTRITIONAL VALUES OF FORAGES
DOI:
https://doi.org/10.52945/rac.v33i1.370Keywords:
Calibration Models, Bromatology, Spectroscopy.Abstract
Near Infrared (NIR) Spectroscopy (NIRS) has been widely used for analytical purposes in the most diverse areas of research, production and industry in materials such as petroleum, chemicals, oils, wood, polymers, textiles, food, beverages, soils, etc. After the correct implantation of the technique, the analysis does not require chemical reagent, it is robust, fast, it is not destructive and does not require specialized labor. However, for the technique to be used reliably, precise and accurate calibration models must be developed for each material and each component of interest. Some important information about NIRS, fundamentals, potential and limitations of use are presented in this work.
Metrics
References
ASSOCIATION OF OFFICIAL ANALYTICAL CHEMISTS. Official methods of analysis. 14 ed. Washington, DC: AOAC, 1984. 1019p.
FERNANDES, A. M. F. Uso da espectroscopia de reflectância do infravermelho próximo (nirs) para previsão da composição bromatológica de vagens de algaroba e palma forrageira. 2015. 105f. Dissertação (Mestrado em Zootecnia) - Universidade Estadual Vale do Acaraú, Sobral, CE, 2015.
MACDONALD, C. Canadian mills opt for FITNIR analyzers. Pulp & Paper Canada. 2016. Disponível em: https://www.pulpandpapercanada.com/news/canadian-mills-opt-for-fitnir-analyzers-1100000232/. Acesso em 24/10/2018.
FONTANELI, R.S.; DURR, J.W.; SCHEFFER-BASSO, S.M.; HAUBERT, F.; BORTOLINI, F. Validação do método da reflectância no infravermelho proximal para análise de silagem de milho. Revista Brasileira de Zootecnia, v.31, n.2, p.594-598, 2002.
MARTEN, G. C.; SHENK, J. S.; BARTON II, F. E. Near infrared reflectance spectroscopy (NIRS), analysis quality. Washington, D.C.: USDA, 1985.110 p.
MONTEIRO, A. R. D, FEITAL, T. S., PINTO, J. C. Statistical Aspects of Near-Infrared Spectroscopy for the Characterization of Errors and Model Building. Applied Spectroscopy. v.71, n.7, p.1665-1676, 2017. Disponível em: https://www.ncbi.nlm.nih.gov/pubmed/28447492. Acesso em: 20/10/2018.
NETO, M. M. G.; SIMEONE, M. L. F.; GUIMARÃES, C. C.; VASCONCELOS, F. V.; UBA, M. A. Predição de proteína, matéria seca e fósforo em grãos de milho pela espectroscopia de reflectância no infravermelho próximo. Boletim de Pesquisa e Desenvolvimento n.9, Embrapa Milho e Sorgo, Sete Lagoas, MG, 2009. 19p.
NETO, M. M. G.; SIMEONE, M. L. F.; GUIMARÃES, C. C. Predição do teor de proteína bruta em biomassa de capins braquiária por meio de espectroscopia NIR. Comunicado técnico n.205, Embrapa Milho e Sorgo, Sete Lagoas, MG, 2012. 5p.
NORRIS, K. H.; BARNES, R. F.; MOORE, J. E.; SHENK, J. S. Predicting forage quality by near infrared reflectance spectroscopy. Journal of Animal Science, Champaign, v.43, n.4, p. 889-897, 1976.
PASQUINI, C. Near infrared spectroscopy: A mature analytical technique with new perspectives – A review. Analytica Chimica Acta, v.1026, n. 5, 2018, p. 8-36, 2018.
SIESLER, H. W.; OZAKI, Y.; KAWATA, S.; HEISE, H. M. Near-Infrared Spectroscopy. Principles, Instruments, Applications. 3 ed. Weinheim: Wiley – VCH, 2001. 361p.
WILLIAMS, P.C.; SOBERING, D.C. Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. Journal of Near Infrared Spectroscopy, v.1, p.25–32, 1993.
WILLIAMS, P.; DARDENNE, P.; FLINN, P. Tutorial: Items to be included in a report on a near infrared spectroscopy project. Journal of Near Infrared Spectroscopy, v.25, n.2, p.85–90, 2017.
YANG, Z., NIE G., PAN L., ZHANG Y., HUANG L., MA X., ZHANG, X. Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum. PeerJ, v.5, e3867, 2017.