Analysing extraction uniformity from porous coffee beds using mathematical modelling and computational fluid dynamics approaches

PLoS One. 2019 Jul 31;14(7):e0219906. doi: 10.1371/journal.pone.0219906. eCollection 2019.

Abstract

Achieving a uniform extraction of soluble material from a porous matrix is a generic problem in various separation and filtration operations, with applications in the food processing, chemical and pharmaceutical industries. This paper describes models of fluid flow and transport of soluble material within a packed granular bed in the context of coffee extraction. Coffee extraction is described by diffusion of soluble material from particles of one or more representative sizes into fluid flowing through the packed bed. One-dimensional flow models are compared to computational fluid dynamics (CFD) models. A fine and a coarse coffee grind are considered. Model results are compared to experimental data for a packed cylindrical coffee bed and the influence of a change in geometry to a truncated cone is considered. Non-uniform flow in the truncated cone causes significant variation in the local extraction level. Coffee extraction levels during brewing are analysed using extraction maps and the degree of variation is represented on the industry standard coffee brewing control chart. A high variation in extraction yield can be expected to impart bitter flavours into the brew and thus is an important variable to quantify.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Coffee / chemistry*
  • Food Handling / methods*
  • Hot Temperature
  • Hydrodynamics*
  • Models, Theoretical*
  • Plant Extracts / chemistry
  • Porosity

Substances

  • Coffee
  • Plant Extracts

Grants and funding

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (http://www.sfi.ie/) ‘Modelling of Multi-Phase Transport Processes to Enable Automation in Manufacturing, (MOMEnTUM)’ awarded to GW and SOB and is co-funded under the European Regional Development Fund under Grant Number 14/SP/2750. The authors also acknowledge support from the Dairy Processing Technology Centre (https://dptc.ie/), supported by Enterprise Ireland (https://enterprise-ireland.com/en/) grant agreement number TC 2014 0016 awarded to GW. This work was also supported by MACSI, the Mathematics Applications Consortium for Science and Industry (www.macsi.ul.ie), funded by the Science Foundation Ireland Investigator Award 12/IA/1683 awarded to SOB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. PMJ is an employee at Dark Woods Coffee Ltd., United Kingdom. Dark Woods Coffee Ltd provided support in the form of salary for author PMJ, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.