Ir a la página de inicio del Gobierno del Principado de Asturias

Datos del Documento

Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/9786


Título: Particle size optimisation in development of near infrared microscopy methodology to build spectral libraries of animal feeds.
Autores: Fernández Ibáñez, M.
Soldado, A.
Vicente, F.
Martínez Fernández, A.
Roza Delgado, B., de la
Palabras Claves: Microscopía de infrarrojo cercano (NIR)
Tamaño de partícula
Alimentos para animales
Fecha Edición: 2008
Editor: Sage Publications
Cita Bibliográfica: Fernández Ibáñez, M... [et al.]. Particle size optimisation in development of near infrared microscopy methodology to build spectral libraries of animal feeds. Journal of Near Infrared Spectroscopy. 2008 ;16 : 243-248
Resumen: Near infrared spectroscopy coupled to a microscope (NIRM) is a technique where the infrared beam is focused on each particle (< 50 μm) of a sample to collect NIR spectra. In this work, the experimental conditions (sample pre-treatment and instrumental) have been evaluated and compared for collecting spectral information in order to develop a strategy able to build large and robust spectral libraries to be transferred between NIRM instruments. To attempt this objective, we selected the most representative ingredients included in animal feeds: straw as low density forage, soybean as raw material and total mixed ration (TMR). Then, different mills, sieves and the number of spectra to be averaged were evaluated, selecting those that minimise noise and scanning time. The best results were obtained grinding through 1 mm sieve ingredients and TMR and collecting each particle spectra by scanning 70 individual spectra averaged as pre-treatment and instrumental conditions to obtain the most relevant information about each ingredient
URI: https://ria.asturias.es/RIA/handle/123456789/9786
ISSN: 0967-0335
Aparece en las Colecciones:Agroalimentación y Ganadería

Archivos en este documento:



Archivo TamañoFormato
Particle size optimisation.pdf550,31 kBAdobe PDFVer/Abrir



logo

Todos los documentos en RIA están protegidos por derechos de autor.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Contacto