TY - JOUR
T1 - Modelling of red abalone (Haliotis rufescens) slices drying process
T2 - Effect of osmotic dehydration under high pressure as a pretreatment
AU - Pérez-Won, Mario
AU - Lemus-Mondaca, Roberto
AU - Tabilo-Munizaga, Gipsy
AU - Pizarro, Sebastián
AU - Noma, Seiji
AU - Igura, Noriyuki
AU - Shimoda, Mitsuya
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Simultaneous application of osmotic dehydration and high pressure as a pretreatment to drying process on red abalone (Haliotis rufescens) slices was studied. During drying process the process time was reduced by increasing temperature from 40 to 60 °C along with the application of different pretreatments: high pressure (350 and 550 MPa), pressure time (5 and 10 min), and osmotic solution (10 and 15% NaCl). Effective moisture diffusivity was determined and varied from 4.35 to 9.95 × 10- 9 m2/s, for both control and pretreated samples (R2 ≥ 0.97). The Weibull, Logarithmic and Midilli-Kucuk models were applied to drying experimental data, where Midilli-Kucuk model was found to be the best fitting model. Furthermore, all drying curves were normalized and then modelled by the same three above models showing a R2 ≥ 0.96. As to energy consumption and efficiency values for drying processes were found to be in the range of 777-1815 kJ/kg and 8.22-19.20%, respectively. Thus, knowledge on moisture transfer kinetics, energy consumption and data normalization, is needed to manage and control efficiently drying process under different pretreatment conditions. Industrial relevance: This article deals with the mass transfer modelling and energy consumption during simultaneous high hydrostatic pressure treatment and osmotic dehydration as a pretreatment to drying process of abalone slices. Water and salt transfer during this combined process was satisfactorily simulated with the Midilli-Kucuk model. Results indicated that application of this combined innovative technology improved abalone slices dehydration rates compared to atmospheric pressure operation resulting in a dried abalone with intermediate moisture content ready to be used as input material of further processes. Furthermore, the different energetic features were determined in order to realize the importance of the changes that can influence to alter process time.
AB - Simultaneous application of osmotic dehydration and high pressure as a pretreatment to drying process on red abalone (Haliotis rufescens) slices was studied. During drying process the process time was reduced by increasing temperature from 40 to 60 °C along with the application of different pretreatments: high pressure (350 and 550 MPa), pressure time (5 and 10 min), and osmotic solution (10 and 15% NaCl). Effective moisture diffusivity was determined and varied from 4.35 to 9.95 × 10- 9 m2/s, for both control and pretreated samples (R2 ≥ 0.97). The Weibull, Logarithmic and Midilli-Kucuk models were applied to drying experimental data, where Midilli-Kucuk model was found to be the best fitting model. Furthermore, all drying curves were normalized and then modelled by the same three above models showing a R2 ≥ 0.96. As to energy consumption and efficiency values for drying processes were found to be in the range of 777-1815 kJ/kg and 8.22-19.20%, respectively. Thus, knowledge on moisture transfer kinetics, energy consumption and data normalization, is needed to manage and control efficiently drying process under different pretreatment conditions. Industrial relevance: This article deals with the mass transfer modelling and energy consumption during simultaneous high hydrostatic pressure treatment and osmotic dehydration as a pretreatment to drying process of abalone slices. Water and salt transfer during this combined process was satisfactorily simulated with the Midilli-Kucuk model. Results indicated that application of this combined innovative technology improved abalone slices dehydration rates compared to atmospheric pressure operation resulting in a dried abalone with intermediate moisture content ready to be used as input material of further processes. Furthermore, the different energetic features were determined in order to realize the importance of the changes that can influence to alter process time.
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U2 - 10.1016/j.ifset.2016.01.014
DO - 10.1016/j.ifset.2016.01.014
M3 - Article
AN - SCOPUS:84963812243
VL - 34
SP - 127
EP - 134
JO - Innovative Food Science and Emerging Technologies
JF - Innovative Food Science and Emerging Technologies
SN - 1466-8564
ER -