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...
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Universidad Francisco de Paula Santander Ocaña
2017-07-01
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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 |
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