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An equilibrium desorption model for the strength and extraction yield of full immersion brewed coffee
- Source :
- Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021), Scientific reports, vol 11, iss 1
- Publication Year :
- 2021
- Publisher :
- Nature Publishing Group UK, 2021.
-
Abstract
- The sensory qualities of brewed coffee are known to be strongly correlated with the total dissolved solids (TDS) and extraction yield (E) of the brew. Here, we derive a predictive model for the TDS and E of full immersion brewed coffee using a pseudo-equilibrium desorption approach. Assuming a single, species-averaged equilibrium constant $$K$$ K yields theoretical predictions indicating that the TDS is approximately inversely proportional to the water/coffee mass brew ratio, while E is independent of the brew ratio. Our experimental results strongly accord with both theoretical predictions, and indicate that E is approximately 21% over a wide range of brew ratios. An analysis of the standard oven-drying method for measuring E indicates that it yields significant underestimates of the true value at equilibrium, due to retained brew within the spent moist grounds. We further demonstrate that $$K$$ K is insensitive to grind size, roast level, and brew temperature over the range 80–99 °C. Taken together, our results indicate that full immersion brewing offers precise control over the TDS at equilibrium but little control over E, and that practitioners should pay careful attention to their brew ratio as the most important parameter for full-immersion brewing.
- Subjects :
- 0301 basic medicine
030109 nutrition & dietetics
Multidisciplinary
business.industry
Science
Extraction (chemistry)
Thermodynamics
04 agricultural and veterinary sciences
Total dissolved solids
040401 food science
Article
03 medical and health sciences
Chemistry
0404 agricultural biotechnology
Chemical engineering
Yield (chemistry)
Desorption
Immersion (virtual reality)
Brewing
Medicine
business
Equilibrium constant
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....b51f9ad26856e52c824cc4ede4530b47