Prediction of the salt content from water activity analysis in dry-cured ham. (May 2017)

• Record Type: Journal Article
• Authors: Martuscelli, Maria; Lupieri, Laura; Sacchetti, Giampiero; Mastrocola, Dino; Pittia, Paola
• Is Part Of: Journal of food engineering. Volume 200(2017)
• Page Start: 29
• Page End: 39
• Publication Date: 2017-05
• Subjects: Dry-cured ham -- Salt diffusion -- Normalized Weibull distribution -- Water activity -- Prediction models; Food industry and trade -- Periodicals; Food -- Analysis -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Analyse -- Périodiques; Aliments -- Recherche -- Périodiques; 664.005
• DOI: 10.1016/j.jfoodeng.2016.12.017
• Languages: English
• ISSNs: 0260-8774

Abstract

Abstract: Salt (NaCl) penetration was studied on dry-cured hams of different weight processed by two different salting processes. Chemical composition and water activity (aw ) were analysed on two of the most representative ham muscles during the process. The normalized Weibull cumulative distribution was used to fit salt uptake in Biceps femoris m. (BF) and to calculate the salt diffusion coefficient. The aw values strictly depend on the Salt Index (S.I., gNaCl 100 gw −1 ). The S.I. of BF samples from hams taken at different processing steps, were modelled as a function of aw by both a linear and a first order polynomial model achieving good fitting (R 2 = 0.92). The calibration root mean square error (RMSE) resulted being of 1% for both models. Cross validation was performed and the RMSEs were of 0.62% and 0.61% for the linear and polynomial models, respectively. These models can be useful to manage the salting process in dry-cured hams at industrial level. Highlights: The chemical composition and water activity were observed in ham muscles during resting and ripening process. The normalized Weibull cumulative distribution was used to fit salt uptake and to calculate the salt diffusion coefficient. The aw values strictly depend on the Salt Index. The Salt Index data of Biceps faemoris muscle were modelled as a function of water activity. A linear and a first order polynomial model achieved a good fitting.