Marta Vargas-Pérez

Dr. Marta Vargas-Pérez


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

View All Publications
4 June 2020 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
PDF file
MVMarta Vargas-Pérez
Marta Vargas-Pérez
FGFrancisco Javier Egea González
Francisco Javier Egea González
AFAntonia Garrido Frenich
Antonia Garrido Frenich

1 July 2020 in Journal of Chromatography A
Verified
Journal Article
Closed access
MVMarta Vargas-Pérez
Marta Vargas-Pérez
Irene DomínguezIrene Domínguez
Irene Domínguez
FGFrancisco Javier Egea González
Francisco Javier Egea González
AFAntonia Garrido Frenich
Antonia Garrido Frenich

1 February 2019 in Food Chemistry
Verified
Journal Article
Closed access
MVMarta Vargas-Pérez
Marta Vargas-Pérez
JMJesús Marín-Sáez
Jesús Marín-Sáez
FGFrancisco Javier Egea González
Francisco Javier Egea González
AFAntonia Garrido Frenich
Antonia Garrido Frenich

1 November 2019 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Closed access
MVMarta Vargas-Pérez
Marta Vargas-Pérez
FGFrancisco Javier Egea González
Francisco Javier Egea González
AFAntonia Garrido Frenich
Antonia Garrido Frenich

20 November 2025 in Food Chemistry
Verified
Journal Article
Open access
MGMarcella Vitoria Galindo
Marcella Vitoria Galindo
MVMarta Vargas-Pérez
Marta Vargas-Pérez
RLRosalía López-Ruiz
Rosalía López-Ruiz
WOWellington da Silva Oliveira
Wellington da Silva Oliveira
HGHelena Godoy
Helena Godoy
Roberto Romero-GonzálezRoberto Romero-González
Roberto Romero-González
This study presents a method for analyzing nine highly polar contaminants in infant formulas, combining ultrasound, low temperature, and dispersive solid-phase extraction, followed by LC-MS/MS. Validation according to SANTE 11312/2021 v2 guidelines were performed showing good linearity (R2 = 0.99), precision (RSD ≤20 %), and appropriate limits of quantification (10-30 μg/kg). Recoveries ranged from 70 % to 103.1 % except for perchlorate (54.4 % at 250 μg/kg) and glufosinate (63.7 % at 150 μg/kg). The method was applied to 30 liquid and powder samples based on soy, rice, cow, and goat milk, and phosphonic acid, chlorate, perchlorate, fosetyl-Al, and glufosinate were detected in 33 % of the samples. Perchlorate showed the highest concentration (139.88 μg/kg), with intake values exceeding the EFSA limit (0.00003 mg/kg body weight/day). For other compounds, daily intakes were within legal limits. An untargeted analysis using LC-Q-Orbitrap-MS/MS tentatively identified 39 additional compounds.

22 November 2025 in Chemosensors
Verified
Journal Article
Open access
PDF file
MVMarta Vargas-Pérez
Marta Vargas-Pérez
Osmar Damian PrestesOsmar Damian Prestes
Osmar Damian Prestes
Roberto Romero-GonzálezRoberto Romero-González
Roberto Romero-González
AFAntonia Garrido Frenich
Antonia Garrido Frenich
The complexity of the milk matrix, driven by its lipid-rich composition, complicates pesticide residue analysis. This study developed a simplified and robust analytical procedure for the quantification of 250 pesticides in cow’s milk. Sample preparation involved acidified ethyl acetate extraction followed by centrifugation at 0 °C. A subsequent clean-up step was performed using micro solid-phase extraction (μSPE) in a 96-well format with the enhanced matrix removal-lipid (EMR-lipid) sorbent. Final extracts were analyzed by gas chromatography coupled to high-resolution mass spectrometry (GC-Q-Orbitrap-MS). Method validation demonstrated satisfactory linearity within the 5–100 µg/L range, recoveries between 70.6% and 119.8%, and precision, expressed as relative standard deviation (RSD), was acceptable for both intraday (1.8–19.2%) and interday (1.6–18.5%) conditions. The limit of quantification (LOQ) was set at 10 µg/kg for all compounds. The method was applied to 23 commercial cow’s milk samples, and no pesticide residues were detected above the current European Union (EU) maximum residue limits (MRLs).