Evidence map›Paper›PMID 39331168›Full record

ArticleAnalytical and bioanalytical chemistry2025

Microextraction of steroidal hormones from urine samples using natural deep eutectic solvents: insights into chemical interactions using molecular dynamics simulations.

Débora Coelho de Andrade, Sofia Aquino Monteiro, Tiago Espinosa de Oliveira, Josias Merib

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Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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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

4 authors.

Débora Coelho de AndradePrograma de Pós-Graduação Em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, 90050-170, RS, Brazil.
Sofia Aquino MonteiroPrograma de Pós-Graduação Em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, 90050-170, RS, Brazil.
Tiago Espinosa de OliveiraPrograma de Pós-Graduação Em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, 90050-170, RS, Brazil.
Josias MeribPrograma de Pós-Graduação Em Biociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, 90050-170, RS, Brazil. josias@ufcspa.edu.br.ORCID http://orcid.org/0000-0001-5107-6943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural deep eutectic solvents (NADES) are gaining significant attention in analytical chemistry due to attractive physico-chemical properties associated with sustainable aspects. They have been successfully evaluated in different fields, and applications in sample preparation have increased in the last years. However, there is a limited knowledge related to chemical interactions and mechanism of intermolecular action with specific analytes. In this regard, for the first time, this study exploited a computational investigation using molecular dynamics (MD) predictions combined with experimental data for the extraction/determination of steroidal hormones (estriol, β-estradiol, and estrone) in urine samples using NADES. The ultrasound-assisted liquid-liquid microextraction (UALLME) approach followed by high-performance liquid chromatography with diode array detection (HPLC-DAD) was employed using menthol:decanoic acid as extraction solvent. Experimental parameters were optimized through multivariate strategies, with the best conditions consisting of 3 min of extraction, 150 μL of NADES, and 3 mL of sample (tenfold diluted). According to molecular dynamics predictions confirmed by experimental data, a molar ratio that permitted the highest efficiency consisted of menthol:decanoic acid 2:1 v/v. Importantly, computational simulations revealed that van der Waals interactions were the most significant contributor to the interaction energy of analytes-NADES. Using the optimized conditions, limits of detection (LOD) ranged from 3 and 8 μg L

Indexed as

Deep Eutectic SolventsEstradiolEstriolEstroneLiquid Phase MicroextractionChromatography, High Pressure LiquidHumansLimit of DetectionMolecular Dynamics SimulationSolventsDeep Eutectic SolventsEstradiolEstriolEstroneSolventsBiomarkersChemical interactionsDeep eutectic solventsMicroextractionMolecular dynamics

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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.