Review: Nirs in Food Analysis for Animal Nutrition

The analysis of the nutritional composition of forages and of foods used in animal nutrition is relevant in decision-making within the production process. Near infrared spectroscopy (NIRS) is a methodology that is based on chemometrics, associating the light absorbed in a food sample with its chemic...

Full description

Bibliographic Details
Main Authors: Astrid Rivera Rivera, Jose Manuel Alba Maldonado
Format: Article
Language:English
Published: Universidad Francisco de Paula Santander Ocaña 2017-07-01
Series:Revista Ingenio
Subjects:
Online Access:https://revistas.ufps.edu.co/index.php/ingenio/article/view/2149/2242
id doaj-eefb2db5e7314c45982d181f87a87ed7
record_format Article
spelling doaj-eefb2db5e7314c45982d181f87a87ed72021-02-03T16:20:28ZengUniversidad Francisco de Paula Santander OcañaRevista Ingenio2011-642X2389-864X2017-07-0113 Edición Regular1199211https://doi.org/10.22463/2011642X.2149Review: Nirs in Food Analysis for Animal NutritionAstrid Rivera Rivera0https://orcid.org/0000-0001-8061-9601Jose Manuel Alba Maldonado1https://orcid.org/0000-0002-5384-7606Universidad Francisco de Paula Santander OcañaUniversidad Francisco de Paula Santander OcañaThe analysis of the nutritional composition of forages and of foods used in animal nutrition is relevant in decision-making within the production process. Near infrared spectroscopy (NIRS) is a methodology that is based on chemometrics, associating the light absorbed in a food sample with its chemical composition and based on this, prediction equations are developed for each chemical component of the food. . The methodology has been applied in the analysis of forages with reliable results for the prediction of dry matter, protein, structural carbohydrates, soluble, fat and in legumes for the identification of antinutritional factors. For the development of prediction models by component, samples should be collected that cover all the factors of variation of the chemical composition of the food. The prediction models are developed in three phases: calibration, internal validation and external validation in which the model is evaluated according to statistical criteria. The NIRS is a methodology that has been recognized as reliable, low cost, fast and that during the process does not generate chemical waste.https://revistas.ufps.edu.co/index.php/ingenio/article/view/2149/2242nutritional compositionchemometrycalibration
collection DOAJ
language English
format Article
sources DOAJ
author Astrid Rivera Rivera
Jose Manuel Alba Maldonado
spellingShingle Astrid Rivera Rivera
Jose Manuel Alba Maldonado
Review: Nirs in Food Analysis for Animal Nutrition
Revista Ingenio
nutritional composition
chemometry
calibration
author_facet Astrid Rivera Rivera
Jose Manuel Alba Maldonado
author_sort Astrid Rivera Rivera
title Review: Nirs in Food Analysis for Animal Nutrition
title_short Review: Nirs in Food Analysis for Animal Nutrition
title_full Review: Nirs in Food Analysis for Animal Nutrition
title_fullStr Review: Nirs in Food Analysis for Animal Nutrition
title_full_unstemmed Review: Nirs in Food Analysis for Animal Nutrition
title_sort review: nirs in food analysis for animal nutrition
publisher Universidad Francisco de Paula Santander Ocaña
series Revista Ingenio
issn 2011-642X
2389-864X
publishDate 2017-07-01
description The analysis of the nutritional composition of forages and of foods used in animal nutrition is relevant in decision-making within the production process. Near infrared spectroscopy (NIRS) is a methodology that is based on chemometrics, associating the light absorbed in a food sample with its chemical composition and based on this, prediction equations are developed for each chemical component of the food. . The methodology has been applied in the analysis of forages with reliable results for the prediction of dry matter, protein, structural carbohydrates, soluble, fat and in legumes for the identification of antinutritional factors. For the development of prediction models by component, samples should be collected that cover all the factors of variation of the chemical composition of the food. The prediction models are developed in three phases: calibration, internal validation and external validation in which the model is evaluated according to statistical criteria. The NIRS is a methodology that has been recognized as reliable, low cost, fast and that during the process does not generate chemical waste.
topic nutritional composition
chemometry
calibration
url https://revistas.ufps.edu.co/index.php/ingenio/article/view/2149/2242
work_keys_str_mv AT astridriverarivera reviewnirsinfoodanalysisforanimalnutrition
AT josemanuelalbamaldonado reviewnirsinfoodanalysisforanimalnutrition
_version_ 1724286463393136640