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A suitable enzymatic method for starch quantification in different organic matrices

Starch can represent 70–80% of the cereals grains (on a dry matter basis) used for livestock feeding. Several methods have been developed to estimate the feed starch contents of energy feed sources. However, the efficiency of these methods to evaluate the starch content in other feed sources, as wel...

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Autores principales: Silva, Breno de Castro, Godoi, Letícia Artuzo, Valadares Filho, Sebastião de Campos, Zanetti, Diego, Benedeti, Pedro Del Bianco, Detmann, Edenio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812349/
https://www.ncbi.nlm.nih.gov/pubmed/31667131
http://dx.doi.org/10.1016/j.mex.2019.09.040
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author Silva, Breno de Castro
Godoi, Letícia Artuzo
Valadares Filho, Sebastião de Campos
Zanetti, Diego
Benedeti, Pedro Del Bianco
Detmann, Edenio
author_facet Silva, Breno de Castro
Godoi, Letícia Artuzo
Valadares Filho, Sebastião de Campos
Zanetti, Diego
Benedeti, Pedro Del Bianco
Detmann, Edenio
author_sort Silva, Breno de Castro
collection PubMed
description Starch can represent 70–80% of the cereals grains (on a dry matter basis) used for livestock feeding. Several methods have been developed to estimate the feed starch contents of energy feed sources. However, the efficiency of these methods to evaluate the starch content in other feed sources, as well as other types of samples used to evaluate starch availability in the gastrointestinal tract, such as digesta and faeces, remains unclear. Furthermore, most of the currently used starch analysis methods have not been effectively evaluated, being only applied to samples of sporadic experiments, without a wide-ranging validation of the procedures and results. Here, we propose a modification of a method for analysing the starch content in different organic matrices normally evaluated in ruminant nutrition studies. The evaluated organic matrices were: soybean meal, soybean hull, Tifton 85 Bermuda grass hay, abomasal digesta, and faeces. • The modified method is more feasible than the original procedures. • The modified method estimates the starch contents in different organic matrices with accuracy and precision.
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spelling pubmed-68123492019-10-30 A suitable enzymatic method for starch quantification in different organic matrices Silva, Breno de Castro Godoi, Letícia Artuzo Valadares Filho, Sebastião de Campos Zanetti, Diego Benedeti, Pedro Del Bianco Detmann, Edenio MethodsX Agricultural and Biological Science Starch can represent 70–80% of the cereals grains (on a dry matter basis) used for livestock feeding. Several methods have been developed to estimate the feed starch contents of energy feed sources. However, the efficiency of these methods to evaluate the starch content in other feed sources, as well as other types of samples used to evaluate starch availability in the gastrointestinal tract, such as digesta and faeces, remains unclear. Furthermore, most of the currently used starch analysis methods have not been effectively evaluated, being only applied to samples of sporadic experiments, without a wide-ranging validation of the procedures and results. Here, we propose a modification of a method for analysing the starch content in different organic matrices normally evaluated in ruminant nutrition studies. The evaluated organic matrices were: soybean meal, soybean hull, Tifton 85 Bermuda grass hay, abomasal digesta, and faeces. • The modified method is more feasible than the original procedures. • The modified method estimates the starch contents in different organic matrices with accuracy and precision. Elsevier 2019-10-04 /pmc/articles/PMC6812349/ /pubmed/31667131 http://dx.doi.org/10.1016/j.mex.2019.09.040 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Silva, Breno de Castro
Godoi, Letícia Artuzo
Valadares Filho, Sebastião de Campos
Zanetti, Diego
Benedeti, Pedro Del Bianco
Detmann, Edenio
A suitable enzymatic method for starch quantification in different organic matrices
title A suitable enzymatic method for starch quantification in different organic matrices
title_full A suitable enzymatic method for starch quantification in different organic matrices
title_fullStr A suitable enzymatic method for starch quantification in different organic matrices
title_full_unstemmed A suitable enzymatic method for starch quantification in different organic matrices
title_short A suitable enzymatic method for starch quantification in different organic matrices
title_sort suitable enzymatic method for starch quantification in different organic matrices
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812349/
https://www.ncbi.nlm.nih.gov/pubmed/31667131
http://dx.doi.org/10.1016/j.mex.2019.09.040
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