Evidence map›Paper›PMID 41048773›Full record

ArticleACS omega2025

Exploring Caffeine Extraction Using Hydrophobic Deep Eutectic Solvents: Experimental and Theoretical Approaches.

Khatereh A Pishro, Leandro S Silva, Rafaela S Lamarca, Clarice D B Amaral, Mario H Gonzalez

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Khatereh A PishroDepartment of Chemistry and Environmental Science, São Paulo State University (UNESP), São José do Rio Preto, São Paulo 15054-000, Brazil.ORCID https://orcid.org/0000-0003-1344-4922
Leandro S SilvaDepartment of Chemistry and Environmental Science, São Paulo State University (UNESP), São José do Rio Preto, São Paulo 15054-000, Brazil.
Rafaela S LamarcaDepartment of Chemistry and Environmental Science, São Paulo State University (UNESP), São José do Rio Preto, São Paulo 15054-000, Brazil.ORCID https://orcid.org/0000-0002-8605-8013
Clarice D B AmaralDepartment of Chemistry, Federal University of Paraná, Curitiba, Paraná 81531-980, Brazil.
Mario H GonzalezDepartment of Chemistry and Environmental Science, São Paulo State University (UNESP), São José do Rio Preto, São Paulo 15054-000, Brazil.ORCID https://orcid.org/0000-0002-0139-2742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophobic deep eutectic solvents (HDESs) are emerging as sustainable, biodegradable, and nontoxic alternatives to traditional organic solvents in liquid-liquid extraction processes. This study investigates the use of HDESs, specifically eutectic mixtures of dl-menthol combined with acetic or hexanoic acids, for extracting caffeine from coffee beans (CB), coffee skin (CS), and guaraná drink (GD). Solvent screening using COSMO-RS modeling was performed to identify effective HDES systems. Caffeine detection employed UV/vis spectrophotometry at 274 nm (dl-menthol/acetic acid system) and 284 nm (dl-menthol/hexanoic acid system), with application of Gaussian fitting to minimize spectral interferences. The optimal extraction conditions were determined to be 65 °C and a 1:1 initial solution to solvent (L/L) ratio. Under these conditions, the dl-menthol/acetic acid solvent extracted 0.765 ± 0.007 mg of caffeine per 100 mg of coffee beans, outperforming the dl-menthol/hexanoic acid solvent, which extracted 0.610 ± 0.010 mg. Comparable results were observed for the other matrices, with 0.66 ± 0.01 mg caffeine per 400 mg of coffee skin and 0.57 ± 0.01 mg per 10 mL of guaraná drink. The method presented high precision, with a standard deviation of ±0.0826 mg L

Identifiers

PMID41048773
PMCPMC12489721

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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.