Thermal and Moisture Diffusion Properties of Amaranth Seeds

Mendoza, M.G. Vizcarra; Vera, Carlos Martínez; Domínguez, Francisco Vidal Caballero

doi:10.1016/j.biosystemseng.2003.07.003

Cited by 13 publications

(5 citation statements)

References 4 publications

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“…The carrier, shell, and core fluids are CaCl 2 -mineral oil emulsion, aqueous sodium alginate solution, and aqueous carboxymethyl cellulose solution (with Amaranth dye) of various viscosities, respectively. The diffusion coefficient of the Amaranth dye ( D a ) is 1.87 × 10 −10 m 2 s −1 in water, 44 giving rise to a Peclet Number (Pe = Wu d /D a ) of 1.65 × 10 3 . This high Pe indicates that the transport of the dye in the core fluid is dominated by advection rather than diffusion.…”

Section: Resultsmentioning

confidence: 99%

Fluid displacement during droplet formation at microfluidic flow-focusing junctions

Huang

2015

Lab Chip

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Microdroplets and microcapsules have been widely produced using microfluidic flow-focusing junction for biomedical and chemical applications. However, the multiphase microfluidic flow at the flow-focusing junction has not been well investigated. In this study, the displacement of two (core and shell) aqueous fluids that disperse into droplets altogether in a carrier oil emulsion was investigated both numerically and experimentally. It was found that extensive displacement of the two aqueous fluids within the droplet during its formation could occur as a result of the shear effect of the carrier fluid and the capillary effect of interfacial tension. We further identified that the two mechanisms of fluid displacement can be evaluated by two dimensionless parameters. The quantitative relationship between the degree of fluid displacement and these two dimensionless parameters was determined experimentally. Finally, we demonstrated that the degree of fluid displacement could be controlled to generate hydrogel microparticles of different morphologies using planar or nonplanar flow-focusing junctions. These findings should provide useful guidance to the microfluidic production of microscale droplets or capsules for various biomedical and chemical applications.

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Section: Resultsmentioning

confidence: 99%

Fluid displacement during droplet formation at microfluidic flow-focusing junctions

Huang

2015

Lab Chip

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“…Much research has been pursued over the years to develop drying models. For example, researchers have reported mathematical relationships among moisture, drying time, and drying air temperature for pomegranate arils (Kingsly and Singh, 2007), tomato seeds (Sogi et al, 2003), amaranth seeds (Mendoza et al, 2003), apricots (Menges and Ertekin, 2006), wheat grains (Goneli et al, 2007), and mushrooms, pollen, and pistachios (Midilli et al, 2002).…”

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confidence: 99%

Drying Characteristics of Distillers Wet Grains Under Varying Condensed Distillers Solubles and Drying Temperature Levels

Bhadra¹,

Rosentrater²,

Muthukumarappan³

et al. 2011

Applied Engineering in Agriculture

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Distillers dried grains with solubles (DDGS) has been shown to be an excellent livestock feed ingredient, and it is produced by the fuel ethanol industry, which is primarily located in the Midwest United States. There is a growing need to transport DDGS over long distances via rail, but this can often be hampered by poor flowability when unloading. DDGS is formed by combining condensed distillers solubles (CDS) with distillers wet grain (DWG) and then drying at high temperatures. It is hypothesized that drying conditions can affect resulting DDGS chemical, physical, and flow properties, but there is currently little quantified information about drying behavior of these coproducts. Thus, the objective of this study was to investigate the moisture desorption patterns of DWG for three CDS addition levels [10%, 15%, and 20% wet basis (wb)] at three drying temperatures (1005C, 2005C, and 3005C), to thus produce DDGS. Several mathematical models (Page, Newton, Pilosof, Henderson-Pabis, and others) were used to fit the observed moisture data over time. A new comprehensive model was developed for moisture ratio versus time (the best fit had R 2 = 0.91, SEM = 0.17) using a modified Page model which accounted for varying CDS and temperature levels. The developed model will be useful to predict moisture content values of DDGS for various drying times, CDS addition levels, and drying temperatures, and will thus be a benefit to industrial processing conditions.

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“…Mathematical modeling of the agricultural seeds has been approached by three general methods: (1) empirical approach wherein a suggested model is fitted to experimental data (Hung et al, 1993;Turhan et al, 2002;Badau and Jideani, 2005;Noorbakhsh et al, 2006); (2) theoretical methods which are generally based on principles of moisture diffusion, sometimes coupled with heat or mass transfer equations (Vizcarra Mendoza et al, 2003;Gaston et al, 2004;Gely and Giner, 2007); and (3) semi-theoretical approaches which are generally a modified form of theoretical models (Misra and Brooker, 1980).…”

Section: Introductionmentioning

confidence: 99%

Finite element analysis and modeling of water absorption by date pits during a soaking process

Waezi-Zadeh

Ghazanfari

Noorbakhsh

2010

J. Zhejiang Univ. Sci. B

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Abstract:Date pits for feed preparation or oil extraction are soaked in water to soften before milling or extrusion. Knowledge of water absorption by the date pits helps in better managing the soaking duration. In this research, the process of water absorption by date pits was modeled and analyzed using Fick's second law of diffusion, finite element approach, and Peleg model. The moisture content of the pits reached to its saturation level of 41.5% (wet basis) after 10 d. The estimated coefficient of diffusion was 9.89×10 −12 m 2 /s. The finite element model with a proposed ellipsoid geometry for a single date pit and the analytical model fitted better to the experimental data with R 2 of 0.98. The former model slightly overestimated the moisture content of the pits during the initial stages of the soaking and the latter model generally underestimated this variable through the entire stages of soaking process.

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Thermal and Moisture Diffusion Properties of Amaranth Seeds

Cited by 13 publications

References 4 publications

Fluid displacement during droplet formation at microfluidic flow-focusing junctions

Fluid displacement during droplet formation at microfluidic flow-focusing junctions

Drying Characteristics of Distillers Wet Grains Under Varying Condensed Distillers Solubles and Drying Temperature Levels

Finite element analysis and modeling of water absorption by date pits during a soaking process

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