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The effect of grinding extent on near infrared spectrometry (NIRS) analysis of some animal feeds

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Języki publikacji
EN
Abstrakty
EN
A study was performed aimed at evaluating the method of sample grinding and its effect on the results of the analysis using the method of near infrared spectrometry. The object of the analysis was feed materials commonly used in animal feed manufacturing, such as cereal grain, wheat bran and high-protein materials (soybean meal). We also tested feed mixtures for poultry and pigs. Laboratory samples were ground on three milling devices – with the sieve of 1.0 mm or 0.5 mm, and a disc mill with minimum working aperture. The content of nutrients was analyzed with the help of the InfraXact spectrophotometer scanning within the range of 770–2,500 nm. The analyses revealed that within the range applied the method is resistant to the diversified granulometric composition of the samples. However, excessive grinding of the research material should be avoided (a sieve of 0.5 mm) during analyzing water, due to potential overheating of the sample which could lead to partial evaporation of the component.
Słowa kluczowe
Rocznik
Tom
Strony
57--66
Opis fizyczny
Bibliogr. 12 poz., tab., wykr.
Twórcy
  • National Research Institute of Animal Production, National Laboratory for Feedingstuffs in Lublin
Bibliografia
  • ANDERSEN H.V.,WEDELSBACK H., HANSEN P.W. 2013. NIR Spectrometer Technology Comparison. White Paper from FOSS, p. 1–14.
  • BLANCO M., VILLARROYA I. 2002. NIR spectroscopy: a rapid-response analytical tool. Trends in Analytical Chemistry, 21, (4): 240–250.
  • BUHŁAK K. 2006. Near infrared spectroscopy as a quick and effective way to assess the quality of raw materials and products. Polish Journal of Commodity Science, 3 (8): 33–43.
  • Commission Regulation (EEC). 2009. Commission Regulation (EEC) No 152/2009 of 27 Jan. 2009 laying down the methods of sampling and analyses for the official control of feed. Journal 54, annex I, 26.02.2009.
  • DEMSKI T. 2010. The use of data mining to evaluate products based on NIR spectra. StatSoft Polska, p. 55–68.
  • DORSZEWSKI P., SZTERK P., GRABOWICZ M. 2004. Evaluation of the method for estimating the suitability greens of grass silage using NIRS technology. The Proceedings of the Agricultural and Biological Sciences, Series B, 53: 93–97.
  • EN ISO 12099:2010. Animal feeding stuffs, cereals and milled cereal products – Guidelines for the application of near infrared spectrometry.
  • KAMIŃSKI S., KAMIŃSKA D., TxR3ZCIŃSKI J. 2008. Automatic analysis of the size and shape of the 3D particle using optical – electronic analyzers. 11th Baltic Sea Geotechnical Conference, Gdańsk, 15–18 September, Proceedings, p. 1–6.
  • KOLBUSZEWSKI M. 2009. Near-infrared spectroscopy in the laboratory. Laboratory, 11–12, 44–45.
  • PODKÓWKA L., KOWALISZYN B. 2010. Comparison of the chemical composition of different varieties of maize grain specific analytical methods and using reflection spectroscopy in the near infrared (NIRS). Acta.Sci.Pol., Zootechnica, 9 (3): 49–56.
  • WANG W., PALIWAL J. 2007. Near–infrared spectroscopy and imaging in food quality and safety. Food Qual., 11: 193–207.
  • WANG W., PALIWAL J. 2007. Near-infrared spectroscopy and imaging in food quality and safety. Sensing and Instrumentation for Food Quality and Safety, 1(4): 193–207.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-206478ec-7034-47b0-99c6-ca66dca124c5
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