Effects of high pressure processing (HPP) and acid pre-treatment on quality attributes of hilsa (Tenualosa ilisha) fillets

LWT ◽  
2019 ◽  
Vol 111 ◽  
pp. 647-652 ◽  
Author(s):  
Vikas Kumar ◽  
Pavuluri Srinivasa Rao ◽  
Soumya Ranjan Purohit ◽  
Yogesh Kumar
2020 ◽  
Vol 59 ◽  
pp. 102236 ◽  
Author(s):  
Janna Cropotova ◽  
Revilija Mozuraityte ◽  
Inger Beate Standal ◽  
Shikha Ojha ◽  
Turid Rustad ◽  
...  

2017 ◽  
Vol 10 (11) ◽  
pp. 2013-2022 ◽  
Author(s):  
Belén Giménez ◽  
Natalia Graiver ◽  
Alicia Califano ◽  
Noemí Zaritzky

2017 ◽  
Vol 10 (12) ◽  
pp. 2268-2268
Author(s):  
Belén Giménez ◽  
Natalia Graiver ◽  
Alicia Califano ◽  
Noemí Zaritzky

2013 ◽  
Vol 49 (6) ◽  
pp. 1579-1585 ◽  
Author(s):  
Lakshmi Eroman Unni ◽  
Om Prakash Chauhan ◽  
Pakalpati Sreenivasa Raju

2011 ◽  
Vol 76 (4) ◽  
pp. C618-C625 ◽  
Author(s):  
Jesús García-Parra ◽  
Francisco González-Cebrino ◽  
Jonathan Delgado ◽  
Mercedes Lozano ◽  
Teresa Hernández ◽  
...  

2016 ◽  
Vol 23 (3) ◽  
pp. 197-208 ◽  
Author(s):  
Barjinder Pal Kaur ◽  
P Srinivasa Rao

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.


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