Evidence map›Paper›PMID 40624084›Full record

ArticleScientific reports2025

A universal color curve for roasted arabica coffee.

Laudia Anokye-Bempah, Timothy Styczynski, William D Ristenpart, Irwin R Donis-González

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Laudia Anokye-BempahDepartment of Biological and Agricultural Engineering, University of California Davis, 3024 Bainer Hall, Davis, CA, 95616, USA.
Timothy StyczynskiCoffee Center, University of California Davis, Davis, CA, 95616, USA.
William D RistenpartCoffee Center, University of California Davis, Davis, CA, 95616, USA.
Irwin R Donis-GonzálezDepartment of Biological and Agricultural Engineering, University of California Davis, 3024 Bainer Hall, Davis, CA, 95616, USA. irdonisgon@ucdavis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Color is a key indicator of quality and roast level in coffee beans. Surprisingly, little is known about the effect of different "roast profiles," i.e., the temperature versus time inside the roaster, on the dynamics of color during roasting, with most prior work focused on laboratory-scale roasters with little control over the roast profile. Here, we investigate seven roast profiles of the same total duration but varying dynamics inside a 5 kg commercial drum roaster, using coffee from three origins. We show that despite the dramatic differences in roast profiles and coffee origins, the bean color always maps onto a "universal roasted coffee color curve" when plotted in the L*a*b* color space. This universal color curve was modeled using polynomial mixed-effects regression and validated through a systematic review of existing literature following the PRISMA protocol to demonstrate its broad applicability. Although the dynamics of roast color development varied with roast profiles, the coffees always had approximately the same L*a*b* values at significant roast milestones, including color change, first crack, and second crack. We discuss how these results provide insight into color measurements and how they can quantitatively inform roast-level standards in the coffee industry for both real-time and post-roast applications.

Indexed as

CoffeaCoffeeCookingColorSeedsCoffeeCIELAB color spaceCoffee roastingMixed-effects regressionPRISMARoast colorRoast profiles

Identifiers

PMID40624084
PMCPMC12234775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.