Process optimization for thermal-assisted high pressure processing of mango (Mangifera indica L.) pulp using response surface methodology

LWT ◽  
2016 ◽  
Vol 69 ◽  
pp. 372-381 ◽  
Author(s):  
Neelima Kaushik ◽  
P. Srinivasa Rao ◽  
H.N. Mishra
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Optimization ◽  
Mangifera Indica ◽  
High Pressure Processing

Process optimization for high-pressure processing of black tiger shrimp (Penaeus monodon) using response surface methodology

2016 ◽  
Vol 23 (3) ◽  
pp. 197-208 ◽  
Author(s):  
Barjinder Pal Kaur ◽  
P Srinivasa Rao
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Quality Attributes ◽  
High Pressure Processing ◽  
Inactivation Rate ◽  
Process Conditions ◽  
Validation Data ◽  
Black Tiger Shrimp ◽  
Tiger Shrimp

This study aims to investigate the effect of high-pressure processing on the quality of black tiger shrimp using response surface methodology. A central composite rotatable design was applied to evaluate the effects of three processing parameters, namely pressure (300–600 MPa), temperature (30–50 ℃), and time (0–15 min), on the inactivation rate of Staphylococcus aureus and physical properties (color and texture) of shrimp and to optimize the process conditions to achieve maximum bacterial inactivation with minimal changes in quality attributes. The results revealed that the processing conditions significantly affected the studied responses and the experimental data have been adequately fitted into a second-order polynomial model with multiple regression coefficients (R2) of 0.92, 0.92, and 0.94 for the inactivation rate of S. aureus, hardness, and color changes, respectively. The optimized conditions targeting minimum six log cycle reductions of S. aureus with moderate changes in quality attributes were obtained as: pressure, 361 MPa; time, 12 min and temperature, 46 ℃. The adequacy of the model equation for predicting the optimum response values was verified effectively by the validation data.

Determination of the influence of high pressure processing on calf rennet using response surface methodology: Effects on milk coagulation

LWT ◽  
2016 ◽  
Vol 65 ◽  
pp. 10-17 ◽  
Author(s):  
Bruno Ricardo de Castro Leite Júnior ◽  
Alline Artigiani Lima Tribst ◽  
Carlos Francisco Sampaio Bonafe ◽  
Marcelo Cristianini
Keyword(s):  
High Pressure ◽  
Response Surface Methodology ◽  
Response Surface ◽  
High Pressure Processing ◽  
Milk Coagulation

scholarly journals A Response Surface Methodology (RSM) Approach for Optimizing the Attenuation of Human IgE-Reactivity to β-Lactoglobulin (β-Lg) by Hydrostatic High Pressure Processing

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1741
Author(s):  
Xin Sun ◽  
Jialing Vivien Chua ◽  
Quynh Anh Le ◽  
Francisco Trujillo ◽  
Mi-Hwa Oh ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimal Condition ◽  
Response Surface ◽  
High Pressure Processing ◽  
Molecular Structures ◽  
Holding Time ◽  
P Value ◽  
Molecular Change ◽  
Ige Reactivity ◽  
Β Lactoglobulin

The response surface methodology (RSM) and central composite design (CCD) technique were used to optimize the three key process parameters (i.e., pressure, temperature and holding time) of the high-hydrostatic-pressure (HHP) processing either standalone or combined with moderate thermal processing to modulate molecular structures of β-lactoglobulin (β-Lg) and α-lactalbumin (α-La) with reduced human IgE-reactivity. The RSM model derived for HHP-induced molecular changes of β-Lg determined immunochemically showed that temperature (temp), pressure (p2) and the interaction between temperature and time (t) had statistically significant effects (p < 0.05). The optimal condition defined as minimum (β-Lg specific) IgG-binding derived from the model was 505 MPa at 56 °C with a holding time of 102 min (R2 of 0.81 and p-value of 0.01). The validation carried at the optimal condition and its surrounding region showed that the model to be underestimating the β-Lg structure modification. The molecular change of β-Lg was directly correlated with HHP-induced dimerization in this study, which followed a quadratic equation. The β-Lg dimers also resulted in the undetectable human IgE-binding.

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