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Determining Optimal Nonlinear Regression Models for Studying the Kinetics of Fatty Acid Ruminal Biohydrogenation In Vitro.
Zarnegar, Zohreh; Ebrahimi, Seyed Hadi; Rohani, Abbas; Jensen, Søren Krogh; Lashkari, Saman; Valizadeh, Reza; Naserian, Abbas Ali.
Afiliación
  • Zarnegar Z; Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, 91775-1163 Mashhad, Iran.
  • Ebrahimi SH; Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, 91775-1163 Mashhad, Iran.
  • Rohani A; Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, 9177948974 Mashhad, Iran.
  • Jensen SK; Department of Animal Science, Aarhus University, AU Foulum, 8830 Tjele, Denmark.
  • Lashkari S; Department of Animal Science, Aarhus University, AU Foulum, 8830 Tjele, Denmark.
  • Valizadeh R; Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, 91775-1163 Mashhad, Iran.
  • Naserian AA; Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, 91775-1163 Mashhad, Iran.
ACS Omega ; 8(50): 48451-48464, 2023 Dec 19.
Article en En | MEDLINE | ID: mdl-38144137
ABSTRACT
The accurate estimation of in vitro ruminal biohydrogenation (BH) kinetics of fatty acids (FA) allows for a more accurate understanding of their dynamics and develop targeted strategies to enhance desirable FA bypass. This study comprises a comprehensive evaluation of 33 nonlinear regression models to determine the most suitable model for accurately estimating the in vitro BH kinetics of individual FA. The data set utilized in the present research originates from a recent investigation on the effects of micronization and vitamin E on the in vitro ruminal BH of rapeseed. For the nonlinear regression analysis, data comprising FA concentrations (expressed as g FA/100 g FA) at the conclusion of 2, 4, 8, 12, 24, and 48 h incubation periods were employed. The evaluation of nonlinear regression models focused on identifying the ideal model based on criteria including the highest R2 value, the lowest RMSE value, and statistically significant coefficients. The results pinpoint the Gompertz model as an effective choice for estimating the in vitro ruminal BH kinetics of upward-trending fatty acids, including intermediate unsaturated fatty acids and saturated end FA. Additionally, the first-order kinetic model of Ørskov and McDonald emerges as the preferred model for investigating the BH kinetics of downward-trending fatty acids, including oleic acid, linoleic acid, and alpha-linolenic acid. In summary, this rigorous evaluation led to the identification of the most appropriate model, one that not only exhibited an exceptional fit to the data but also provided profound insights into the intricate relationships between predictors and the dynamic behavior of FA. The established nonlinear regression models will serve as invaluable tools for future research investigating FA biohydrogenation kinetics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos