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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Faculty of Agrobitechnical Sciences Osijek
2015-09-01
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Series: | Poljoprivreda |
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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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issn | 1330-7142 1848-8080 |
language | English |
last_indexed | 2024-12-20T19:41:55Z |
publishDate | 2015-09-01 |
publisher | Faculty of Agrobitechnical Sciences Osijek |
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series | Poljoprivreda |
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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