4.4 Article

Improving salt diffusion by ultrasound application during wet salting of pork meat: A mathematical modeling approach

Journal

JOURNAL OF FOOD PROCESS ENGINEERING
Volume 46, Issue 6, Pages -

Publisher

WILEY
DOI: 10.1111/jfpe.14143

Keywords

diffusion coefficient; mathematical models; NaCl; process simulation; salt concentration; salt gain

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The objectives of this research were to evaluate the influence of ultrasound and salt concentration on salt gain in salted pork meat and to investigate the applicability of mathematical models to simulate salt gain. The results showed that ultrasound-assisted brine and increasing salt concentration in the brine significantly increased the NaCl content in the salted meat. The salt diffusion coefficients also increased as a result. All models tested showed predictability of experimental data and confirmed that ultrasound accelerated the salt gain during wet salting. The Azuara model presented the highest coefficients of determination and was chosen to predict the experimental data and simulate the wet salting process.
The objectives of this research were to evaluate the influence of ultrasound (US; power of 600 W; frequency of 20 kHz), and salt concentration (SC) in brine (50 and 100 g of salt center dot L-1 of water) on salt gain (SG) in salted pork meat and to investigate the applicability of mathematical models to simulate SG. Four treatments were tested: T50SB, static brine with 50 g of salt center dot L-1 of water; T100SB, static brine with 100 g of salt center dot L-1 of water; T50US, US-assisted brine with 50 g of salt center dot L-1 of water; T100US, US-assisted brine with 100 g of salt center dot L-1 of water. After wet salting, the NaCl content was determined by the Mohr method. Five mathematical models (Azuara; Z and L; Simplified Fick Equation; Weibull; Diffusive) were tested to describe SG. US-assisted brine and increasing SC in the brine increased (p < .05) the NaCl content in the salted meat. The salt diffusion coefficients also increased (p < .05) as a result of the increase in the SC in the brine and by the application of US (TM). All models tested showed predictability of experimental data and confirmed that US accelerated the SG during wet salting. The Azuara model presented the highest coefficients of determination (R-2) and was chosen to predict the experimental data due to its best fit and because it has a simple mathematical solution, also enabling the prediction of equilibrium conditions. Therefore, US-assisted brine is a technology that can shorten the salting time and improve the salt diffusion in pork meat and the Azuara model can be used to simulate wet salting processes. Practical Applications Ultrasound is an emerging technology that has shown promising results in the processing of meat and meat products. This study showed that ultrasound-assisted brine of pork meat improves SG, increasing the salt diffusion coefficient in salted meat. Therefore, ultrasound-assisted brine has the potential to shorten salting time in the industrial processing of pork meat. The Azuara model successfully described the kinetic parameters of the process and can be used to simulate the static and ultrasound-assisted brine process.

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