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Comparison of diffusion models for description of osmotic dehydration of radish slices dipped in brine REA
Silva,Wilton P. da; Silva,Cleide M. D. P. da S. E; Gomes,Josivanda P..
ABSTRACT This paper aims at describing the osmotic dehydration of radish cut into cylindrical pieces, using one- and two-dimensional analytical solutions of diffusion equation with boundary conditions of the first and third kind. These solutions were coupled with an optimizer to determine the process parameters, using experimental data. Three models were proposed to describe the osmotic dehydration of radish slices in brine at low temperature. The two-dimensional model with boundary condition of the third kind well described the kinetics of mass transfers, and it enabled prediction of moisture and solid distributions at any given time.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Inverse method; Analytical models; Cylindrical geometry.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000500894
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A Synthesis of Deglacial Deep-Sea Radiocarbon Records and Their (In)Consistency With Modern Ocean Ventilation ArchiMer
Zhao, Ning; Marchal, Olivier; Keigwin, Lloyd; Amrhein, Daniel; Gebbie, Geoffrey.
We present a synthesis of 1,361 deep-sea radiocarbon data spanning the past 40kyr and computed (for C-14-dated records) from the same calibration to atmospheric C-14. The most notable feature in our compilation is a long-term Delta C-14 decline in deep oceanic basins over the past 25kyr. The Delta C-14 decline mirrors the drop in reconstructed atmospheric Delta C-14, suggesting that it may reflect a decrease in global C-14 inventory rather than a redistribution of C-14 among different reservoirs. Motivated by this observation, we explore the extent to which the deep water C-14 data jointly require changes in basin-scale ventilation during the last deglaciation, based on the fit of a 16-box model of modern ocean ventilation to the deep water Delta C-14...
Tipo: Text Palavras-chave: Last deglaciation; Ocean ventilation; Data synthesis; Radiocarbon; Inverse method.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00496/60790/64955.pdf
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