Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where M. Carmen Sampedro is active.

Publication


Featured researches published by M. Carmen Sampedro.


Journal of Pharmaceutical and Biomedical Analysis | 2008

Simultaneous determination of citalopram, fluoxetine and their main metabolites in human urine samples by solid-phase microextraction coupled with high-performance liquid chromatography

Nora Unceta; Alberto Gómez-Caballero; Alicia Sánchez; Silvia Millán; M. Carmen Sampedro; M. Aranzazu Goicolea; Joan Sallés; Ramón J. Barrio

A liquid chromatography method was developed for the determination of some frequently prescribed selective serotonin re-uptake inhibitors (SSRI) - citalopram and fluoxetine - and its main metabolites - demethylcitalopram, didemethylcitalopram and norfluoxetine - in human urine samples, using a previous stage of solid-phase microextraction. All the extraction parameters influencing adsorption (extraction time, temperature, pH, ion strength and organic modifier addition) and desorption (desorption time and desorption solvent mixture composition) of the analytes on the fiber have been studied. A satisfactory reproducibility for extraction from urine samples (R.S.D.<10%) was obtained. The linearity for urine ranged from 0.05 to 2 mg l(-1) with limits of detection close to 0.01 mg l(-1), which cover the typical urinary concentrations obtained for citalopram, fluoxetine and their metabolites.


Journal of Chromatography A | 2010

Multi-residue analysis of pharmaceutical compounds in wastewaters by dual solid-phase microextraction coupled to liquid chromatography electrospray ionization ion trap mass spectrometry

Nora Unceta; M. Carmen Sampedro; Nor Kartini Abu Bakar; Alberto Gómez-Caballero; M. Aranzazu Goicolea; Ramón J. Barrio

The aim of this article is to present a new procedure based on dual solid-phase microextraction (dSPME) for the simultaneous extraction of 16 pharmaceutical compounds with acidic and basic characteristics in urban wastewaters. Water samples are divided into two aliquots of 2 mL each extracted by two CW-TPR fibers at different pH values (pH 3 and 11) and with a NaCl concentration of 300 g L(-1) at 75 degrees C for 30 min. The analytes in both fibers are desorbed one after the other in the desorption chamber in static mode with mobile phase for 10 min. The extracts are injected into an LC system coupled to an ion trap mass spectrometer, leading to the accurate quantification of 16 pharmaceutical compounds in wastewaters, in MS(2) mode. All the target compounds found in wastewaters provide good signals corresponding to the protonated precursor ion [M+H](+). The parameters influencing adsorption and desorption of the analytes on fiber were optimized. The assessment of the analytical method was performed by studying the linearity (LOQ to 10 ng mL(-1)) and the intra- and interday accuracy (89.2-109.7%) and precision (RSD <13.6%). The quantification limits obtained ranged between 0.005 and 0.05 microg L(-1). The application of the method to real samples proves its effectiveness in identifying and detecting naproxen, valsartan, bezafibrate, torasemide, diclofenac, carbamazepine, citalopram, lorazepan, fluoxetine, imipramine and amitriptyline in influent and effluent wastewater treatment plant samples.


Journal of Chromatography A | 2011

A retention time locked gas chromatography–mass spectrometry method based on stir-bar sorptive extraction and thermal desorption for automated determination of synthetic musk fragrances in natural and wastewaters

Maria Arbulu; M. Carmen Sampedro; Nora Unceta; Alberto Gómez-Caballero; M. Aranzazu Goicolea; Ramón J. Barrio

A stir-bar sorptive extraction (SBSE) method followed by automated thermal desorption (ATD) coupled to gas chromatography-mass spectrometry was optimized for determining trace levels of 18 synthetic fragrances (musks). Using the method developed a retention time locked library is created and converted to a screening database. This homebuilt database can be combined with deconvolution software for the identification of musks. A factorial design was provide to evaluate the main parameters and interactions between the factors affecting the process of SBSE. Operating with de MS-detector in the full-scan mode, high sensitivity with detection limits in the low ng L(-1) range, and good linearity and repeatability were achieved for all musks. The applicability of the method developed was tested in natural waters (surface and groundwater) and wastewater of a plant treatment (WWPT). The results obtained confirmed the usefulness of the proposed method for the determination and unequivocal identification of musks. This approach enables the developed method to be used for routine screening of environmental samples and posterior rapid quantitation of the positive samples.


Forensic Science International | 2012

Screening and quantification of antipsychotic drugs in human brain tissue by liquid chromatography-tandem mass spectrometry: Application to postmortem diagnostics of forensic interest

M. Carmen Sampedro; Nora Unceta; Alberto Gómez-Caballero; Luis F. Callado; Benito Morentin; M. Aranzazu Goicolea; J. Javier Meana; Ramón J. Barrio

A quantitative LC-MS/MS method has been developed for the simultaneous determination of 17 antipsychotic drugs in human postmortem brain tissue. Sample preparation was performed using Hybrid Solid Phase Extraction-Precipitation technology for the removal of endogenous protein and phospholipid interferences. The chromatographic separation was performed for 16 min on a C8 column, which used a gradient elution of formate ammonium and acetonitrile, and a flow rate gradient. Triple quadrupole mass spectrometry was employed to generate tandem mass spectrometric (MS/MS) data of the target analytes to select the ion m/z signals. Quantitation of the analytes was performed by operating in the dynamic multiple reaction monitoring (dMRM) mode using an electrospray ionization interface. Calibration curves prepared in the spiked brain tissue were linear in the range 20-8000 ng/g (r(2)>0.993) for all drugs (except olanzapine). Within- and between-day coefficients of variation were lower than 25% for all drugs at the LOQ. The LOQ in the matrix ranged between 2 ng/g and 80 ng/g. The method was successfully applied to the unequivocal identification and accurate quantification of antipsychotic drugs in human postmortem brain tissues: therefore, this method can be used in forensic investigations.


Analyst | 2001

Multimembrane carbon fiber microelectrodes for amperometric determination of serotonin in human urine

Susana de Irazu; Nora Unceta; M. Carmen Sampedro; M. Aranzazu Goicolea; Ramón J. Barrio

An electrochemical sensor for the determination of serotonin in urine was prepared using Ni(II)-phthalocyanine and Nafion to modify the surface of a 4 mm length carbon fiber microelectrode. The resultant sensor was found to improve the response towards this neuronal amine versus the microelectrode without the polymer films. Different polymerization conditions, as well as different conditioning solutions and buffer systems, were investigated in order to optimize the response of the electrodes. Square wave voltammetry (SWV) is proposed as a direct method for determination of serotonin in human urine, after a solid-liquid extraction process. The proposed method enables a detection limit for serotonin of 0.80 +/- 0.04 microgram L-1 to be achieved at a reduction potential of 0.35 V, with an overall prediction error of 2.2% and recoveries of 93%.


Analytica Chimica Acta | 2013

Characterisation of the flavour profile from Graciano Vitis vinifera wine variety by a novel dual stir bar sorptive extraction methodology coupled to thermal desorption and gas chromatography–mass spectrometry

Maria Arbulu; M. Carmen Sampedro; Alicia Sánchez-Ortega; Alberto Gómez-Caballero; Nora Unceta; M. Aranzazu Goicolea; Ramón J. Barrio

The aim of this work was to develop a new analytical technique for the study of the organoleptic compounds (flavour profile) of the Graciano Vitis vinifera wine variety. The cv. Graciano is a singular variety of red grapes with its origins in La Rioja and Navarra (northern Spain). This variety transfers an intense red colour, aroma and high acidity to musts and provides greater longevity and, consequently, a better capacity for ageing wine. A new dual-stir bar sorptive extraction approach coupled with thermal desorption (TD) and GC-MS has been used to extract the volatile and semivolatile compounds. In this extraction step, the optimal values for the experimental variables were obtained through the Response Surface Methodology (RSM). Full scan chromatogram data were evaluated with two deconvolution software tools, and the results were compared. The volatile and semivolatile components were identified with an MS match ≥80%. As a result, the flavour metabolome of the Graciano Vitis vinifera wine variety was obtained, and 205 metabolites were identified using different databases. These metabolites were grouped into esters, acids, alcohols, nitrogen compounds, furans, lactones, ketones, aldehydes, phenols, terpenes, norisoprenoids, sulphur compounds, acetals and pyrans. The majority of the metabolites observed had already been reported in the literature; however, this work also identified new, previously unreported metabolites in red wines, which may be characteristic of the Graciano variety.


Journal of Separation Science | 2009

Sequential stir bar extraction, thermal desorption and retention time locked GC-MS for determination of pesticides in water.

M. Carmen Sampedro; M. Aranzazu Goicolea; Nora Unceta; Alicia Sánchez-Ortega; Ramón J. Barrio

A method based on sequential stir bar sorptive extraction followed by automated thermal desorption-GC-MS for the determination of pesticides in underground and superficial water samples has been developed. Retention time locked GC-MS and deconvolution Automated Mass Spectral Deconvolution and Identification System software allows the use of pesticide databases for identification and quantification in routine applications. Quantitation limits and repetitivity using full scan mass spectrometric determination guarantee the applicability of the method, which enables considerable savings to be made in total analysis time, with data processing times of around 2 min/sample.


Journal of Analytical Atomic Spectrometry | 2009

Solid phase microextraction coupled to liquid chromatography-inductively coupled plasma mass spectrometry for the speciation of organotin compounds in water samples

Ana Ugarte; Nora Unceta; M. Carmen Sampedro; M. Aranzazu Goicolea; Alberto Gómez-Caballero; Ramón J. Barrio

Solid-phase microextraction (SPME) coupled to high performance liquid chromatography (HPLC) and the subsequent detection by inductively coupled plasma-mass spectrometry (ICP-MS) was used as a new approach for the determination of tributyltin (TBT), triphenyltin (TPhT), trimethyltin (TMeT) and tripropyltin (TPrT) in water samples. These organometallic compounds were extracted on a coated fiber and desorbed in static mode in a SPME/HPLC interface. Triorganotin compounds were separated using a mobile phase of water–acetonitrile–acetic acid (50 : 40 : 10) at a flow-rate of 0.3 mL min−1. In order to reduce the solvent loading on the plasma, the spray chamber was cooled to −5 °C and oxygen (0.1 L min−1) was mixed into the make-up gas by a mass-flow controller. The extraction and preconcentration capabilities of SPME and the monitorization of 120Sn isotope signal by ICP-MS during the run provided detection limits ranging between 6 and 185 ng L−1Sn as well as good repeatability (inter-day RSD < 19.23%). This method was applied to the determination of triorganotins in freshwaters and seawater of leisure ports, which demonstrates the usefulness of this technique for organotins.


Journal of Chromatography A | 2016

Liquid chromatography–quadrupole time of flight tandem mass spectrometry–based targeted metabolomic study for varietal discrimination of grapes according to plant sterols content

Laura Millán; M. Carmen Sampedro; Alicia Sánchez; Cédric Delporte; Pierre Van Antwerpen; M. Aranzazu Goicolea; Ramón J. Barrio

Grapevine and derived products are rich in a wide range of compounds and its quality mainly depends on its metabolites, as a result of viticulture practices. Plant sterols, also called phytosterols (PS), are secondary metabolites regarded as bioactive substance present in grape berries and other plant-based food. The present study deals with a metabolomic approach focusing on phytosterols family in six varieties of Rioja grapes (Cabernet Sauvignon, Tempranillo, Graciano, Garnacha, White Garnacha and Viura), in order to find significant differences among them. Liquid chromatography- mass spectrometry with a quadrupole-time of flight mass analyzer (LC-QTOF) was used to find as many metabolites as possible in the different grape berry fractions, and using statistics to help finding significant clustering of the metabolic profile of pulp, peel and seeds in relation to the variety. The best chromatographic and detection conditions were achieved by gas phase ionization via atmospheric pressure chemical ionization (APCI) in positive mode. Furthermore, analysis with electrospray (ESI) is also needed for phytosterol derivatives confirmation. Putative compounds of interest in the analyzed samples were found by an automated compound extraction algorithm (Molecular Feature Extraction, MFE) and an initial differential expression from the data was created with the aid of commercial software. Once the data were collected, the results were filtered, aligned and normalized, and evaluating applying one-way analysis of variance (ANOVA) with a 95% significance level. For sample class prediction, partial least square-discriminant analysis (PLS-DA) is used as a supervised pattern recognition method and excellent separation among the grape varieties is shown. An overall accuracy of 93.3% (pulp samples), 100.0% (peel) or 96.7% (seeds) in discriminating between grape varieties was achieved when comparing the different fractions. In general, 7 PS derivatives were identified with ID scores higher than 84%.


Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment | 1998

Determination of the insecticide pyridafenthion in river water, soils and wine by adsorptive stripping voltammetry.

M. Carmen Sampedro; Zuriñe Gomez de Balugera; Aranzazu Goicolea; Ramón J. Barrio

Solid-phase extraction or liquid-liquid extraction has been combined with adsorptive stripping voltammetry at a hanging mercury drop electrode to isolate, determine, quantify and recover trace concentrations of pyridafenthion in water, wine and soil. A systematic study of the experimental parameters affecting the stripping response was carried out by differential pulse voltammetry. By using an accumulation potential of 400 mV and an accumulation time of 540 s, the limit of detection was 0.17 microgram l-1 and the relative standard deviation (n = 10) was 1.9% at a concentration level of 8.5 micrograms l-1. Different methods are proposed which eliminate matrix interferences. These results have been applied to the systematic study of this compound in water, wine and soil. The lowest detectable concentration for pyridafenthion is 34 micrograms l-1 in water, 102 micrograms l-1 in wine and 80 micrograms kg-1 in soil. Recoveries of the pyridafenthion from supplied environmental samples were in all cases higher than 92% with a relative standard deviation lower than 3%.

Collaboration


Dive into the M. Carmen Sampedro's collaboration.

Top Co-Authors

Avatar

Ramón J. Barrio

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

M. Aranzazu Goicolea

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Nora Unceta

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Alberto Gómez-Caballero

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Alicia Sánchez

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Silvia Millán

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Esther Rodríguez

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Zuriñe Gomez de Balugera

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Alicia Sánchez-Ortega

University of the Basque Country

View shared research outputs
Top Co-Authors

Avatar

Laura Millán

University of the Basque Country

View shared research outputs
Researchain Logo
Decentralizing Knowledge