Indiziert in
- Genamics JournalSeek
- Akademische Schlüssel
- JournalTOCs
- Nationale Wissensinfrastruktur Chinas (CNKI)
- Zugang zu globaler Online-Forschung in der Landwirtschaft (AGORA)
- Zentrum für Landwirtschaft und Biowissenschaften International (CABI)
- RefSeek
- Verzeichnis der Indexierung von Forschungszeitschriften (DRJI)
- Hamdard-Universität
- EBSCO AZ
- OCLC – WorldCat
- Gelehrtersteer
- SWB Online-Katalog
- Publons
- Euro-Pub
- Google Scholar
Nützliche Links
Teile diese Seite
Zeitschriftenflyer
Open-Access-Zeitschriften
- Allgemeine Wissenschaft
- Biochemie
- Bioinformatik und Systembiologie
- Chemie
- Genetik und Molekularbiologie
- Immunologie und Mikrobiologie
- Klinische Wissenschaften
- Krankenpflege und Gesundheitsfürsorge
- Landwirtschaft und Aquakultur
- Lebensmittel & Ernährung
- Maschinenbau
- Materialwissenschaften
- Medizinische Wissenschaften
- Neurowissenschaften und Psychologie
- Pharmazeutische Wissenschaften
- Umweltwissenschaften
- Veterinärwissenschaften
- Wirtschaft & Management
Abstrakt
Mass Transfer Kinetics of Osmotic Dehydration of Pineapple
Insha Zahoor and Khan MA
Current study deals with the kinetics and mathematical modelling of osmotic dehydration of pineapple. Pineapple (Ananas comosus), 10 mm thick slices weighing 50 g each, was studied for the osmotic dehydration using hypertonic solutions of sucrose and fructose. The osmotic dehydration process was performed using three levels of temperature 40°C, 50°C and 60°C, three levels of osmotic solution concentration (40%, 50% and 60%) with sample to solution ratio maintained at 1:4, 1:5 and 1:6 respectively. After each interval of time, moisture loss and solid gain was recorded. It was found that moisture loss and solid gain increased with increase in osmotic temperature and osmotic solution concentration. The highest mass transfer was observed at concentration of 60% and temperature of 60°C. Three models (Handerson and Pabis model, Logarithmic model and Lewis model) were used to analyze osmotic dehydration data. Among the three models, Logarithmic model showed a best fit to the osmotic dehydration data with higher value of coefficient of determination (R2).