Parmigiano Reggiano protected designation of origin (PDO) cheese inherently exhibits variability due to the characteristics of the production system, contributing to heterogeneity in the composition and properties of milk used in the cheese-making process. This variability leads to variations in cheese yield and nutrient recoveries. The direct measurement of these traits is not feasible in routine practice. Therefore, among indirect analytical techniques, infrared spectroscopy could help to predict these traits from the milk spectra collected directly in the dairy plant. This work aimed to assess the impact of cow breed, farm, dairy factory, and production parameters on cheese-making traits prediction. The impact of this variability has been measured by prediction bias, using a stratified cross-validation. The results confirmed high variability across dairy industries and showed that breed had the highest influence. The use of milk spectra combined with chemometrics was feasible to characterize Parmigiano Reggiano PDO production.
The effect of dairy herd and industry-related factors on Parmigiano Reggiano PDO cheese-making traits evaluated by FT-IR spectroscopy / Molle, A.; Summer, A.; Stocco, G.; Barbin, D. F.; Do Nascimento Rangel, A. H.; Ceresa, P.; Cipolat Gotet, C.. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 470:(2025). [10.1016/j.foodchem.2024.142631]
The effect of dairy herd and industry-related factors on Parmigiano Reggiano PDO cheese-making traits evaluated by FT-IR spectroscopy
Molle A.;Summer A.;Stocco G.
;Cipolat Gotet C.
2025-01-01
Abstract
Parmigiano Reggiano protected designation of origin (PDO) cheese inherently exhibits variability due to the characteristics of the production system, contributing to heterogeneity in the composition and properties of milk used in the cheese-making process. This variability leads to variations in cheese yield and nutrient recoveries. The direct measurement of these traits is not feasible in routine practice. Therefore, among indirect analytical techniques, infrared spectroscopy could help to predict these traits from the milk spectra collected directly in the dairy plant. This work aimed to assess the impact of cow breed, farm, dairy factory, and production parameters on cheese-making traits prediction. The impact of this variability has been measured by prediction bias, using a stratified cross-validation. The results confirmed high variability across dairy industries and showed that breed had the highest influence. The use of milk spectra combined with chemometrics was feasible to characterize Parmigiano Reggiano PDO production.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
