Predicting the 24-h Parmigiano-Reggiano (PR-RE) cheese yield (CY) is relevant for controlling the efficacy of cheese-making processes, yet the existing formulas are old and need to be re-evaluated. To this aim, 119 cheese-making trials were carried out in 20 different dairies to calculate the 24-h actual CY. From a subset of 89 trials, 35 formulas for 24-h PR-RE CY were developed by applying a multiple regression analysis using up to 14 milk parameters as predictors. The formulas were validated on a second data subset (30 trials). The predictive ability was not significantly improved by increasing the predictors when a formula based on milk fat and casein contents was considered (R2 = 0.872). The formula predicted 24-h CY more effectively than the existing formulas for Italian hard cheeses. Using a database obtained from a single dairy, the predictive ability of the resulting formula was further improved.
Italian and Italian-style hard cooked cheeses: Predictive formulas for Parmigiano-Reggiano 24-h cheese yield / Formaggioni, Paolo; Summer, Andrea; Malacarne, Massimo; Franceschi, Piero; Mucchetti, Germano. - In: INTERNATIONAL DAIRY JOURNAL. - ISSN 0958-6946. - 51:(2015), pp. 52-58. [10.1016/j.idairyj.2015.07.008]
Italian and Italian-style hard cooked cheeses: Predictive formulas for Parmigiano-Reggiano 24-h cheese yield
FORMAGGIONI, Paolo;SUMMER, Andrea;MALACARNE, Massimo
;FRANCESCHI, Piero;MUCCHETTI, Germano
2015-01-01
Abstract
Predicting the 24-h Parmigiano-Reggiano (PR-RE) cheese yield (CY) is relevant for controlling the efficacy of cheese-making processes, yet the existing formulas are old and need to be re-evaluated. To this aim, 119 cheese-making trials were carried out in 20 different dairies to calculate the 24-h actual CY. From a subset of 89 trials, 35 formulas for 24-h PR-RE CY were developed by applying a multiple regression analysis using up to 14 milk parameters as predictors. The formulas were validated on a second data subset (30 trials). The predictive ability was not significantly improved by increasing the predictors when a formula based on milk fat and casein contents was considered (R2 = 0.872). The formula predicted 24-h CY more effectively than the existing formulas for Italian hard cheeses. Using a database obtained from a single dairy, the predictive ability of the resulting formula was further improved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.