Browsing by Author "Amin Mousavi Khaneghah"

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    Central composite design, Pareto analysis, and artificial neural network for modeling of microwave processing parameters for tender coconut water
    (2022-01-01) Pandiselvam, R.; V. Prithviraj; Manikantan, M.R.; Shameena Beegum; Ramesh, S.V.; Sugatha Padmanabhan; Anjineyulu Kothakota; Mathew, A.C.; Hebbar, K.B.; Amin Mousavi Khaneghah
    Polyphenol oxidases (PPO) and peroxidases (POD) are the major enzymes that affect the quality of tender coconut water (TCW). Advanced thermal treatment such as microwave treatment has the potential for the inactivation of food enzymes. The experiments were conducted at three different microwave power levels (450, 600, and 900 W) and five different exposure times (70, 80, 90, 100, 110, and 120 s). The modeling and optimization of process parameters were done using a central composite design and artificial neural network. The microwave power level of 600 W for 120 s exposure time was suitable for enzyme inactivation with minimal quality loss. Optimized treatment has pH = 5.02, total soluble solids (TSS) = 5.68 °Brix, turbidity = 12.51 NTU, titratable acid (TA) = 0.07% of malic acid, PPO = 0, POD = 0, phenolic content = 37.238 mg GAE/L and overall acceptability (OA) = 7.5. These results confirmed that microwave treatment could be the potential alternative to conventional thermal treatment for processing tender coconut water.
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    Contemporary Developments and Emerging Trends in the Application of Spectroscopy Techniques: A Particular Reference to Coconut (Cocos nucifera L.)
    (2022) Pandiselvam, R.; Rathnakumar Kaavya; Sergio I. Martinez Monteagudo; V. Divya; Surangna Jain; Anandu Chandra Khanashyam; Anjineyulu Kothakota; V. Arun Prasath; Ramesh, S.V.; N. U. Sruthi; Manoj Kumar; Manikantan, M.R.; Chinnaraja Ashok Kumar; Amin Mousavi Khaneghah; Daniel Cozzolino
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    Ozone: An Advanced Oxidation Technology to Enhance Sustainable Food Consumption through Mycotoxin Degradation
    (2022) Sujayasree, O.J; Chaitanya, A. K.; Bhoite, R.; Pandiselvam, R.; Anjineyulu Kothakota; Mohsen Gavahian; Amin Mousavi Khaneghah
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    Transient computer simulation of the temperature profile in different packaging materials: An optimization of thermal treatment of tender coconut water
    (2021-08-28) V. Prithviraj1; Pandiselvam, R.; Manikantan, M.R.; Ramesh, S.V.; Shameena Beegum; Anjineyulu Kothakota; Amin Mousavi Khaneghah
    Understanding the temperature profile of different packaging materials would be useful for selecting appropriate packaging material for in-bottle pasteurization. The temperature profile of polypropylene, polyethylene (PE), and polyethylene terephthalate bottles was investigated using COMSOL Multiphysics software to understand the temperature–time correlation with thermal treatments. PE bottles exhibited the least temperature difference between cold and hot spots. Optimization of thermal treatment processing parameters such as temperature (80–95 C) and treatment time (5– 15 min) for inactivation of enzymes, namely polyphenol oxidase (PPO) and peroxidase (POD), in tender coconut water (TCW) was performed to the extent its shelf life. The quality parameters of heat-treated TCW such as pH, total soluble solids (TSS), titratable acidity (TA), turbidity, phenolic content, PPO, POD, and sensory evaluation were analyzed. The multiple linear regression models were developed for each quality parameter using a central composite design (CCD). The optimized treatment conditions were 84 C temperature and 5 min treatment time with the desirability of 0.926. The responses recorded were pH = 5.4, TSS = 5.52, turbidity = 7.1 NTU, TA = 0.06% of malic acid, relative PPO = 0.099, relative POD = 0.093, phenolic content = 44.712 mg gallic acid equivalent/L, and overall acceptability score = 8.