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M

M. Shafiur Rahman

Researcher at Sultan Qaboos University

Publications -  34
Citations -  2086

M. Shafiur Rahman is an academic researcher from Sultan Qaboos University. The author has contributed to research in topics: Porosity & Glass transition. The author has an hindex of 25, co-authored 34 publications receiving 1981 citations. Previous affiliations of M. Shafiur Rahman include HortResearch & University of Auckland.

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Toward prediction of porosity in foods during drying: a brief review

TL;DR: In this paper, four generic trends of pore formation during drying are identified from the literature, which are mainly based on empirical correlations, such as porosity, surface tension, structure, environment pressure, and mechanisms of moisture transport also play important roles in explaining the formation of pores.
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Desorption isotherm and heat pump drying kinetics of peas

TL;DR: In this article, a two component exponential model was used to represent the heat pump drying curves and correlations for the parameters developed can be used to predict the moisture content of peas during heat pump air drying.
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State Diagram of Date Flesh Using Differential Scanning Calorimetry (DSC)

TL;DR: In this article, the state diagram of date flesh was developed by measuring its freezing points, glass transition temperatures, maximal-freeze-concentration condition ( and ), and solute melting points (or decomposition temperature) by Differential Scanning Calorimetry (DSC).
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Heat pump dehumidifier drying of food

TL;DR: In this paper, the potential of heat pump dehumidifier (HPD) dryers for use in food drying is discussed, and the potential to recover valuable volatiles from the condensate.
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Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network

TL;DR: In this paper, a general porosity prediction model using regression analysis and hybrid neural network techniques was developed using 286 data points obtained from the literature and the best generic model was developed based on four inputs such as temperature of drying, moisture content, initial porosity, and product type.