USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION

The aim of the present study was to develop a FTIR method to quantify amounts and proportions of volatile fatty acids (VFA) and ammonia nitrogen (N-NH3) in fermentation fluids collected in vitro using innovative Bayesian models as chemometric technique. A set of 170 fluids, collected before and afte...

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Main Authors: Franco Tagliapietra, Giulia Rossi, Stefano Schiavon, Alessandro Ferragina, Claudio Cipolat-Gotet, Giovanni Bittante
Format: Article
Language:English
Published: Faculty of Agrobitechnical Sciences Osijek 2015-09-01
Series:Poljoprivreda
Subjects:
Online Access:http://poljoprivreda.pfos.hr/upload/publications/poljoprivreda-21-1-sup30.pdf
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author Franco Tagliapietra
Giulia Rossi
Stefano Schiavon
Alessandro Ferragina
Claudio Cipolat-Gotet
Giovanni Bittante
author_facet Franco Tagliapietra
Giulia Rossi
Stefano Schiavon
Alessandro Ferragina
Claudio Cipolat-Gotet
Giovanni Bittante
author_sort Franco Tagliapietra
collection DOAJ
description The aim of the present study was to develop a FTIR method to quantify amounts and proportions of volatile fatty acids (VFA) and ammonia nitrogen (N-NH3) in fermentation fluids collected in vitro using innovative Bayesian models as chemometric technique. A set of 170 fluids, collected before and after 4 in vitro incubations of 8 diets in 5 replication plus 5 blanks, were analysed for VFA, N-NH3 and scanned using the MilcoScan FT2 (Foss Electric, Hillerød, Denmark) in the spectral range between 5000 and 900 cm-1. A Bayes B model was used to calibrate equations for each fermentative trait. The calibration equation predicts well VFA and N-NH3 amounts in calibration and also in validation (R2 VAL ranged from 0.93 to 0.83 for isovaleric and n-butyric acid, respectively). However, the prediction of VFA expressed as proportions of total amount was much less accurate (R2 VAL ranged from 0.81 to 0.52 for iso-valeric and n-butyric acid, respectively). In conclusion, FTIR and Bayesian models can be used as tools to accurately predict VFA amounts in vitro.
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spelling doaj.art-eb305bb062bf46bc8ad16f982644981b2022-12-21T19:28:31ZengFaculty of Agrobitechnical Sciences OsijekPoljoprivreda1330-71421848-80802015-09-01211 sup13013410.18047/poljo.21.1.sup.30USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATIONFranco Tagliapietra0Giulia Rossi1Stefano Schiavon2Alessandro Ferragina3Claudio Cipolat-Gotet4Giovanni Bittante5University of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), ItalyUniversity of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), Italy University of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), Italy University of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), Italy University of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), Italy University of Padova, DAFNAE department, Viale Dell'Università 16, 35020, Legnaro (PD), Italy The aim of the present study was to develop a FTIR method to quantify amounts and proportions of volatile fatty acids (VFA) and ammonia nitrogen (N-NH3) in fermentation fluids collected in vitro using innovative Bayesian models as chemometric technique. A set of 170 fluids, collected before and after 4 in vitro incubations of 8 diets in 5 replication plus 5 blanks, were analysed for VFA, N-NH3 and scanned using the MilcoScan FT2 (Foss Electric, Hillerød, Denmark) in the spectral range between 5000 and 900 cm-1. A Bayes B model was used to calibrate equations for each fermentative trait. The calibration equation predicts well VFA and N-NH3 amounts in calibration and also in validation (R2 VAL ranged from 0.93 to 0.83 for isovaleric and n-butyric acid, respectively). However, the prediction of VFA expressed as proportions of total amount was much less accurate (R2 VAL ranged from 0.81 to 0.52 for iso-valeric and n-butyric acid, respectively). In conclusion, FTIR and Bayesian models can be used as tools to accurately predict VFA amounts in vitro.http://poljoprivreda.pfos.hr/upload/publications/poljoprivreda-21-1-sup30.pdfmid infrared spectroscopyin vitro rumen fermentationBayesian regression model
spellingShingle Franco Tagliapietra
Giulia Rossi
Stefano Schiavon
Alessandro Ferragina
Claudio Cipolat-Gotet
Giovanni Bittante
USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
Poljoprivreda
mid infrared spectroscopy
in vitro rumen fermentation
Bayesian regression model
title USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
title_full USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
title_fullStr USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
title_full_unstemmed USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
title_short USE OF FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY TO PREDICT VFA AND AMMONIA FROM IN VITRO RUMEN FERMENTATION
title_sort use of fourier transform infrared ftir spectroscopy to predict vfa and ammonia from in vitro rumen fermentation
topic mid infrared spectroscopy
in vitro rumen fermentation
Bayesian regression model
url http://poljoprivreda.pfos.hr/upload/publications/poljoprivreda-21-1-sup30.pdf
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