Reduction of salt content variability of dry-cured ham production using non-invasive technologies in an industrial environment.

Salt content variability of dry-cured ham production is a challenge for the industry since many factors can influence salt uptake during the salting procedure. The aim of this work was to define and evaluate different modifications of the salting procedure to reduce the salt content variability of an industrial dry-cured ham production. Results showed that magnetic induction (MI) is a valid technology for industrial purposes as it can predict in-line the fat and salt contents of hams with a percentage error of 1.

Modelling of salt uptake for salt content standardization in dry-cured ham.

Salt content standardization in dry-cured ham production is complex as there are many factors that influence salt uptake. The aim of this work was to study and model salt uptake as a function of salting time and the characteristics of green ham in two different ham types using a large amount of data obtained from an inline non-invasive characterization technology. The usefulness of these models to standardize the salt content of the industrial production was also evaluated.

Computed tomography and predictive microbiology for non-invasive evaluation of the impact of dry-cured ham production process conditions on the behaviour of Listeria monocytogenes and Clostridium botulinum.

Variability of salt content in dry-cured ham production can pose microbiological food safety issues, especially in salt reduced and/or non-nitrified products. In this regard, computed tomography (CT) could help to non-invasively characterised the product to further adjust the production process and ensure its safety. The aim of this work was to study the application of CT to estimate a in dry-cured ham to be used by predictive microbiology to evaluate the impact of the production process on the behaviour of Listeria monocytogenes and Clostridium botulinum.