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Optimization and modeling of vacuum impregnation of pineapple rings and comparison with osmotic dehydration

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dc.contributor.author Thomas, B
dc.contributor.author Pulissery, S K
dc.contributor.author Sankalpa, K B
dc.contributor.author Nandhu Lal, A M
dc.contributor.author Warrier, A S
dc.contributor.author Mahanti, N K
dc.contributor.author Kothakota, A
dc.date.accessioned 2024-04-04T12:28:33Z
dc.date.available 2024-04-04T12:28:33Z
dc.date.issued 2024-01
dc.identifier.citation Journal of Food Science; 89(1):494-512 en_US
dc.identifier.uri https://ift.onlinelibrary.wiley.com/doi/10.1111/1750-3841.16875
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/4813
dc.description.abstract The vacuum impregnation (VI) process parameters (vacuum pressure = 20–60 kPa; VI temperature = 35–55°C; concentration of the sucrose solution = 40–60 °Brix; and vacuum process time = 8–24 min) for pineapple rings were optimized based on the moisture content (MC), water loss (WL), solids gain (SG), yellowness index (YI), and total soluble solids (TSS) content of pineapple rings using response surface methodology (RSM). A relationship was developed between the process and response variables using RSM and artificial neural network (ANN) techniques. The effectiveness of VI was evaluated by comparing it with the osmotic dehydration (OD) technique. The optimum condition was found to be 31.782 kPa vacuum pressure, 50.441°C solution temperature, and 60 °Brix sucrose concentration for 20.068 min to attain maximum TSS, YI, SG, and WL, and minimum MC of pineapple rings. The R2 values of RSM models for all variables varied between 0.70 and 0.91, whereas mean square error values varied between 0.76 and 71.58 and for ANN models varied between 0.87–0.93 and 0.53–193.78, respectively. en_US
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.title Optimization and modeling of vacuum impregnation of pineapple rings and comparison with osmotic dehydration en_US
dc.type Article en_US


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  • 2024
    Research articles authored by NIIST researchers published in 2024

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