Roberta Antigo Medeiros

Dr. Roberta Antigo Medeiros

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
31 August 2023 in Molecules
Verified
Journal Article
Open access
PDF file
JGJuliana Costa Rolim Galvão
Juliana Costa Rolim Galvão
MAMayara da Silva Araujo
Mayara da Silva Araujo
MPMaiyara Carolyne Prete
Maiyara Carolyne Prete
VNVanildo Leão Neto
Vanildo Leão Neto
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
In this study, a novel electrochemical assay for determining 17-β-estradiol (E2) was proposed. The approach involves modifying a glassy carbon electrode (GCE) with a nanocomposite consisting of α-Fe2O3 nanoparticles supported on carbon nanotubes (CNTs)—denoted as α-Fe2O3-CNT/GCE. The synthesis of the α-Fe2O3-CNT nanocomposite was achieved through a simple and cost-effective hydrothermal process. Morphological and chemical characterization were conducted using scanning electron microscopy (SEM), Raman spectroscopy, and energy-dispersive X-ray spectroscopy (EDX). The presence of the α-Fe2O3-CNT film on the GCE surface resulted in an enhanced electrochemical response to E2, preventing electrode surface fouling and mitigating the decrease in peak current intensity during E2 oxidation. These outcomes substantiate the rationale behind the GCE modification. After the optimization of experimental conditions, E2 was determined by the square wave voltammetry technique using 0.1 mol L−1 KCl solution (pH = 7.0) with 20% ethanol as a supporting electrolyte. A linear concentration range of 5.0–100.0 nmol L−1 and a low limit of detection of 4.4 nmol L−1 were obtained. The electroanalytical method using α-Fe2O3-CNT/GCE was applied for E2 determination in pharmaceutical, lake water, and synthetic urine samples. The obtained results were attested by recovery tests and by high-performance liquid chromatography as a comparative technique at a 95% confidence level. Thus, the developed electrochemical sensor is simple and fast to obtain, presents high accuracy, and is viable for determining E2 in routine analysis.

7 August 2023 in Talanta
Verified
Journal Article
Closed access
FGFelipe Augusto Gorla
Felipe Augusto Gorla
CSCaroline Santana dos Santos
Caroline Santana dos Santos
RMRoberto de Matos
Roberto de Matos
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
MFMilena Do Prado Ferreira
Milena Do Prado Ferreira
César Ricardo Teixeira TarleyCésar Ricardo Teixeira Tarley
César Ricardo Teixeira Tarley

28 September 2022 in Molecules
Verified
Journal Article
Open access
PDF file
Luan Pereira CamargoLuan Pereira Camargo
Luan Pereira Camargo
MPMarcelo Rodrigues da Silva Pelissari
Marcelo Rodrigues da Silva Pelissari
PSPaulo Rogerio Catarini da Silva
Paulo Rogerio Catarini da Silva
Augusto Batagin-NetoAugusto Batagin-Neto
Augusto Batagin-Neto
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
Luiz Henrique Dall AntoniaLuiz Henrique Dall Antonia
Luiz Henrique Dall Antonia
This study reports a facile approach for constructing low-cost and remarkable electroactivity iron vanadate (Fe-V-O) semiconductor material to be used as a photoelectrochemical sensor for dopamine detection. The structure and morphology of the iron vanadate obtained by the Successive Ionic Adsorption and Reaction process were critically characterized, and the photoelectrochemical characterization showed a high photoelectroactivity of the photoanode in visible light irradiation. Under best conditions, dopamine was detected by chronoamperometry at +0.35 V vs. Ag/AgCl, achieving two linear response ranges (between 1.21 and 30.32 μmol L−1, and between 30.32 and 72.77 μmol L−1). The limits of detection and quantification were 0.34 and 1.12 μmol L−1, respectively. Besides, the accuracy of the proposed electrode was assessed by determining dopamine in artificial cerebrospinal fluid, obtaining recovery values ranging from 98.7 to 102.4%. The selectivity was also evaluated by dopamine detection against several interferent species, demonstrating good precision and promising application for the proposed method. Furthermore, DFT-based electronic structure calculations were also conducted to help the interpretation. The dominant dopamine species were determined according to the experimental conditions, and their interaction with the iron vanadate photoanode was proposed. The improved light-induced DOP detection was likewise evaluated regarding the charge transfer process.

6 December 2022 in Molecules
Verified
Journal Article
Open access
PDF file
ESElisangela Pacheco da Silva
Elisangela Pacheco da Silva
MAMayara da Silva Araujo
Mayara da Silva Araujo
MKMarcos H. Kunita
Marcos H. Kunita
RMRoberto de Matos
Roberto de Matos
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
An electrochemical sensor for simultaneous determination of Benserazide (BEZ) and levodopa (L-dopa) was successfully developed using a glassy carbon electrode (GCE) modified with multi-walled carbon nanotube and nitrogen-doped titanium dioxide nanoparticles (GCE/MWCNT/N-TiO2). Cyclic voltammetry and square wave voltammetry were employed to investigate the electrochemical behavior of different working electrodes and analytes. In comparison with unmodified GCE, the modified electrode exhibited better electrocatalytic activity towards BEZ and L-dopa and was efficient in providing a satisfactory separation for oxidation peaks, with a potential difference of 140 mV clearly allows the simultaneous determination of these compounds. Under the optimized conditions, linear ranges of 2.0–20.0 and 2.0–70.0 μmol L−1 were obtained for BEZ and L-dopa, respectively, with a limit of detection of 1.6 µmol L−1 for BEZ and 2.0 µmol L−1 for L-dopa. The method was applied in simultaneous determination of the analytes in pharmaceutical samples, and the accuracy was attested by comparison with HPLC-DAD as the reference method, with a relative error lower than 4.0%.

22 June 2022 in Analytical Letters
Verified
Journal Article
Closed access
ASAline M. Sanches
Aline M. Sanches
MPMaiyara C. Prete
Maiyara C. Prete
RMRoberto Matos
Roberto Matos
CTCésar R. Teixeira Tarley
César R. Teixeira Tarley
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
Flow injection analysis with chronoamperometry detection using a cathodically pretreated boron-doped diamond electrode (CPT-BDDE) was employed to develop and optimize a novel method for the determination of the hormones 17-α-ethinylestradiol (EE2) and cyproterone acetate (CPA). The electrochemical properties of EE2 and CPA were evaluated by cyclic voltammetry and oxidation peaks were observed at 0.97 V and 1.60 V in 0.04 mol L−1 Britton-Robinson buffer (pH 2.0). Analytical curves were linear in the concentration range from 0.070 to 10.0 µmol L−1 for EE2 and 1.0 to 80.0 µmol L−1 for CPA with detection limits of 0.023 and 0.23 µmol L−1, respectively. The developed methods presented good precision and accuracy for EE2 and CPA quantification in commercial pharmaceutical samples. The obtained results were satisfactory and consistent compared with a reference high-performance liquid chromatography method at a confidence level of 95%. Furthermore, recovery studies carried out in synthetic urine and lake water show that these methods do not suffer any significant matrix interferences and are potentially applicable for the determination of these hormones in real samples. Thus, the developed procedure for EE2 and CPA determination are simple and fast, with an analytical frequency of ∼83 determinations per hour, and attractive for routine analysis.

29 April 2026 in Journal of Solid State Electrochemistry
Verified
Journal Article
Open access
PDF file
JGJuliana C. R. Galvão
Juliana C. R. Galvão
JCJéssica R. Camargo
Jéssica R. Camargo
MAMayara S. Araujo
Mayara S. Araujo
CDCarla Dalmolin
Carla Dalmolin
BJBruno C. Janegitz
Bruno C. Janegitz
Roberta Antigo MedeirosRoberta Antigo Medeiros
Roberta Antigo Medeiros
This paper presents an eco-friendly voltammetric method for the determination of 17β-estradiol (E2) using a lab-made screen-printed electrode modified with graphene quantum dots (GQDs) synthesized by the pyrolysis of citric acid (CA). Screen-printed electrodes (SPEs) were fabricated using a conductive ink formulated by mixing nail polish with graphite powder, which was then applied onto an acetate sheet substrate. The electrodes were modified with GQDs synthesized by three different methods: CA pyrolysis, hydrothermal synthesis, and microwave-assisted synthesis, to evaluate and compare their electrochemical performance for E2 determination. The SPE modified with GQDs synthesized by the pyrolysis of CA (SPE-GQDs-CAPy) exhibited an electrocatalytic activity with an E2 oxidation peak at 0.6 V (vs. the silver ink pseudo-reference electrode integrated in the SPE), using a 0.04 mol L−1 BR buffer at pH 2.0, as supporting electrolyte. The analytical curve obtained for E2 showed a linear concentration range between 5.0 and 100.0 nmol L−1, with a limit of detection of 2.4 nmol L−1. The proposed electroanalytical method was applied in addition and recovery studies using water samples from Lake Igapó II (Londrina–PR) and synthetic urine, showing recoveries of approximately 98%. Pharmaceutical formulations containing E2 were also analyzed, and the results were in agreement with those obtained using a comparative method (HPLC), at a 95% confidence level. Thus, the electroanalytical method developed using SPE-GQDs-CAPy represents a simple and effective alternative for the quantification of E2 or total estrogens in environmental, biological, or pharmaceutical samples. Additionally, the proposed method demonstrates a more environmentally friendly profile compared to HPLC, as evaluated using AGREE software. It is simple, rapid, does not require toxic solvents, consumes less energy, and enables the possibility of online or in situ analysis. AbstractSection Graphical Abstract The alternative text for this image may have been generated using AI.