2020
DOI: 10.1016/j.ijmultiphaseflow.2020.103252
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Water flow and transport in porous media for in-silico espresso coffee

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Cited by 13 publications
(14 citation statements)
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“…Compounds within coffee grinds have been shown to dissolve into the surrounding aqueous environment at different rates and in response to different micro‐environmental shifts (Giacomini et al ., 2020). Coupled with the possibility of nonadditive molecular interaction effects, this suggests a feasible means by which the attributes of cold brew could differ greatly and nonlinearly according to processing parameters of cold brew.…”
Section: Introductionmentioning
confidence: 99%
“…Compounds within coffee grinds have been shown to dissolve into the surrounding aqueous environment at different rates and in response to different micro‐environmental shifts (Giacomini et al ., 2020). Coupled with the possibility of nonadditive molecular interaction effects, this suggests a feasible means by which the attributes of cold brew could differ greatly and nonlinearly according to processing parameters of cold brew.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we investigate the EC extraction process by a mathematical model to characterise an espresso beverage through the identification of the nutritional and organoleptic characteristics. Such a study enlarges and completes the model proposed in [17], introducing the dynamics of all the most important compounds in a coffee cup, considering wide extraction conditions, different granulometries of the coffee powder and different coffee varieties. In particular, we analyse a detailed physico-chemical model of water percolation in a porous medium to compute the amount of each chemical compound at the end of the extraction process with prescribed geometrical and physical parameters and the respective initial concentrations in the coffee powder.…”
Section: Introductionmentioning
confidence: 64%
“…The books [22,23] provide a general formalisation of percolation processes. A preliminary study of the percolation model used in this work can be found in [17]. This model is based on some key hypotheses:…”
Section: The Percolation Modelmentioning
confidence: 99%
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