Literature DB >> 20373189

A review of thin layer drying of foods: theory, modeling, and experimental results.

Zafer Erbay1, Filiz Icier.   

Abstract

Drying is a complicated process with simultaneous heat and mass transfer, and food drying is especially very complex because of the differential structure of products. In practice, a food dryer is considerably more complex than a device that merely removes moisture, and effective models are necessary for process design, optimization, energy integration, and control. Although modeling studies in food drying are important, there is no theoretical model which neither is practical nor can it unify the calculations. Therefore the experimental studies prevent their importance in drying and thin layer drying equations are important tools in mathematical modeling of food drying. They are practical and give sufficiently good results. In this study first, the theory of drying was given briefly. Next, general modeling approaches for food drying were explained. Then, commonly used or newly developed thin layer drying equations were shown, and determination of the appropriate model was explained. Afterwards, effective moisture diffusivity and activation energy calculations were expressed. Finally, experimental studies conducted in the last 10 years were reviewed, tabulated, and discussed. It is expected that this comprehensive study will be beneficial to those involved or interested in modeling, design, optimization, and analysis of food drying.

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Year:  2010        PMID: 20373189     DOI: 10.1080/10408390802437063

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  15 in total

1.  Drying of chilli in a combined infrared and hot air rotary dryer.

Authors:  Suramya D F Mihindukulasuriya; Hemantha P W Jayasuriya
Journal:  J Food Sci Technol       Date:  2014-09-17       Impact factor: 2.701

2.  Simultaneous time-temperature-thickness superposition theoretical and statistical modelling of convective drying of guava.

Authors:  Siok Peng Kek; Nyuk Ling Chin; Yus Aniza Yusof
Journal:  J Food Sci Technol       Date:  2013-01-22       Impact factor: 2.701

3.  Chemical, Physicochemical, Nutritional, Microbiological, Sensory and Rehydration Characteristics of Instant Whole Beans (Phaseolus vulgaris).

Authors:  José Armando Ulloa; Silvia Jazmin Ibarra-Zavala; Silvia Patricia Ramírez-Salas; Petra Rosas-Ulloa; José Carmen Ramírez-Ramírez; Blanca Estela Ulloa-Rangel
Journal:  Food Technol Biotechnol       Date:  2015-03       Impact factor: 3.918

4.  Energetic and exergetic performance analysis and modeling of drying kinetics of kiwi slices.

Authors:  Hosain Darvishi; Mohammad Zarein; Zanyar Farhudi
Journal:  J Food Sci Technol       Date:  2016-05-07       Impact factor: 2.701

5.  Mathematical modelling and characterization of drying of pre-treated sweet corn (Zea mays L.) kernels.

Authors:  Navneet Kumar; Kachhadiya Sagar; Neeraj Seth
Journal:  J Food Sci Technol       Date:  2022-04-01       Impact factor: 3.117

6.  Development of solar drying model for selected Cambodian fish species.

Authors:  Anna Hubackova; Iva Kucerova; Rithy Chrun; Petra Chaloupkova; Jan Banout
Journal:  ScientificWorldJournal       Date:  2014-08-27

7.  Encapsulation of Lactobacillus fermentum K73 by Refractance Window drying.

Authors:  Stephania Aragón-Rojas; María Ximena Quintanilla-Carvajal; Humberto Hernández-Sánchez; Alan Javier Hernández-Álvarez; Fabian Leonardo Moreno
Journal:  Sci Rep       Date:  2019-04-04       Impact factor: 4.379

8.  Dataset on influence of drying variables on properties of cassava foam produced from white- and yellow-fleshed cassava varieties.

Authors:  Oluwatoyin Ayetigbo; Sajid Latif; Adebayo Abass; Joachim Müller
Journal:  Data Brief       Date:  2021-06-02

Review 9.  Evidence to Support the Anti-Cancer Effect of Olive Leaf Extract and Future Directions.

Authors:  Anna Boss; Karen S Bishop; Gareth Marlow; Matthew P G Barnett; Lynnette R Ferguson
Journal:  Nutrients       Date:  2016-08-19       Impact factor: 5.717

10.  Static and dynamic methods to determine adsorption isotherms of hemp seed (Cannabis sativa L.) with different percentages of dockage.

Authors:  Fuji Jian; Darsana Divagar; Jennifer Mhaiki; Digvir S Jayas; Paul G Fields; Noel D G White
Journal:  Food Sci Nutr       Date:  2018-07-20       Impact factor: 2.863

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