Teléfono: +34 976 761 634 / +34 976 761 175
Email: mresano@unizar.es
Dirección: c/Pedro Cerbuna 12, Universidad de Zaragoza, Facultad de Ciencias, Departamento de Química Analítica – Zaragoza (España)
SOBRE MÍ
El Dr. Martín Resano Ezcaray (Doctor por la Universidad de Zaragoza en 1999; Post-Doc en la Universidad de Gante (Bélgica)) es Catedrático de la Universidad de Zaragoza donde dirige el grupo de investigación MARTE (Métodos de Análisis Rápido con Técnicas Espectroscópicas, Referencia DGA E43_20R) desde 2008.
El Dr. M. Resano ha presidido el Comité Editorial (Chair of Editorial Board) de la revista Journal of Analytical Atomic Spectrometry entre Julio de 2016 y Julio de 2020 y es Fellow Member de la Royal Society of Chemistry.Su trabajo ha sido galardonado (26/03/2015) con el Premio Bunsen-Kirchhoff que otorga el grupo de Espectroscopía Analítica (AK DAAS) de la Sociedad Química Alemana (GDCh). Más información disponible en los enlaces a sus identificadores científicos.
PUBLICACIONES
2027
Mataloni, Matilde; Bazo, Antonio; Bolea-Fernandez, Eduardo; Rua-Ibarz, Ana; Aramendía, Maite; Güemes, Lucas; Téllez, Carlos; Coronas, Joaquín; Grotti, Marco; Resano, Martín
En: Talanta, vol. 312, pp. 130379, 2027, ISSN: 0039-9140.
@article{MATALONI2027130379,
title = {Determining Si/Al atomic ratios in particulate matter via quadrupole single-particle ICP-MS with combined unit-mass and bandpass resolution modes: a proof-of-concept study on Antarctic snow},
author = {Matilde Mataloni and Antonio Bazo and Eduardo Bolea-Fernandez and Ana Rua-Ibarz and Maite Aramendía and Lucas Güemes and Carlos Téllez and Joaquín Coronas and Marco Grotti and Martín Resano},
url = {https://www.sciencedirect.com/science/article/pii/S0039914026010350},
doi = {https://doi.org/10.1016/j.talanta.2026.130379},
issn = {0039-9140},
year = {2027},
date = {2027-01-01},
urldate = {2027-01-01},
journal = {Talanta},
volume = {312},
pages = {130379},
abstract = {Micrometer-scale mineral dust deposited in Antarctica represents a valuable archive for reconstructing atmospheric variability and for improving our understanding of dust-climate interactions. Among the various types of particle-specific information available, elemental ratios, such as the Si/Al atomic ratio, are especially useful as geochemical indicators of particle composition and provenance. However, the nature of these samples, characterized by coexisting particle populations and limited particle numbers, makes this determination particularly challenging. In this work, a novel quadrupole-based single-particle ICP-mass spectrometry (SP-ICP-QMS) approach to determine population-specific Si/Al atomic ratios containing chemically heterogeneous particle populations is presented. To overcome the sequential acquisition inherent to ICP-QMS instrumentation, Al and Si measurements at unit-mass resolution (m/z 27 and 28, respectively) were combined with bandpass acquisition centered at m/z 27 (2.47 ± 0.06 amu resolution at 10% peak height), enabling simultaneous collection of 27Al+ and 28Si + signals. This strategy was first used to identify the Al and Si distributions belonging to the same particle population and, consequently, to determine the corresponding atomic ratios in a suspension containing SiO2 microparticles (MPs) and two different types of synthesized zeolite MPs with different Si/Al atomic ratios. The reliability and accuracy of the method were confirmed by comparing the results with those obtained from individual Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX) and SP-ICP-MS characterization of the zeolite samples. As a proof-of-concept, the analysis of an Antarctic snow sample demonstrated the potential of the developed method to provide population-specific information – Si/Al atomic ratios – essential for environmental assessments based on high-resolution short-term records.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Micrometer-scale mineral dust deposited in Antarctica represents a valuable archive for reconstructing atmospheric variability and for improving our understanding of dust-climate interactions. Among the various types of particle-specific information available, elemental ratios, such as the Si/Al atomic ratio, are especially useful as geochemical indicators of particle composition and provenance. However, the nature of these samples, characterized by coexisting particle populations and limited particle numbers, makes this determination particularly challenging. In this work, a novel quadrupole-based single-particle ICP-mass spectrometry (SP-ICP-QMS) approach to determine population-specific Si/Al atomic ratios containing chemically heterogeneous particle populations is presented. To overcome the sequential acquisition inherent to ICP-QMS instrumentation, Al and Si measurements at unit-mass resolution (m/z 27 and 28, respectively) were combined with bandpass acquisition centered at m/z 27 (2.47 ± 0.06 amu resolution at 10% peak height), enabling simultaneous collection of 27Al+ and 28Si + signals. This strategy was first used to identify the Al and Si distributions belonging to the same particle population and, consequently, to determine the corresponding atomic ratios in a suspension containing SiO2 microparticles (MPs) and two different types of synthesized zeolite MPs with different Si/Al atomic ratios. The reliability and accuracy of the method were confirmed by comparing the results with those obtained from individual Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX) and SP-ICP-MS characterization of the zeolite samples. As a proof-of-concept, the analysis of an Antarctic snow sample demonstrated the potential of the developed method to provide population-specific information – Si/Al atomic ratios – essential for environmental assessments based on high-resolution short-term records.
2026
de Oliveira, Maycon L.; Mendes, Luciana R.; Dias, Luís G.; Nakadi, Flávio V.; da Veiga, Márcia A. M. S.; Resano, Martín
Spectral Modeling for the Deconvolution of Doppler-Broadened HR-CS GFAAS Signals for Lithium Isotope Discrimination at Trace Levels Artículo de revista
En: ACS Measurement Science Au, 2026.
@article{nokey,
title = {Spectral Modeling for the Deconvolution of Doppler-Broadened HR-CS GFAAS Signals for Lithium Isotope Discrimination at Trace Levels},
author = {Maycon L. de Oliveira and Luciana R. Mendes and Luís G. Dias and Flávio V. Nakadi and Márcia A. M. S. da Veiga and Martín Resano},
url = {10.1021/acsmeasuresciau.6c00182},
year = {2026},
date = {2026-09-14},
journal = {ACS Measurement Science Au},
abstract = {Lithium isotope analysis by high-resolution continuum source graphite furnace atomic absorption spectrometry (HR-CS GFAAS) remains challenging due to the strong spectral overlap of Doppler-broadened transitions. In this work, a physically constrained spectral deconvolution approach is introduced to resolve the overlapping fine-structure components of 7Li and 6Li without reliance on empirical or data-driven calibration models. The method is based on a physically informed description of the absorption profiles, in which the Gaussian line width (ΔFWHM) and transition parameters are optimized to reproduce the experimental spectra. The approach was evaluated over the concentration range of 1–10 μg L–1 using isotope-specific calibration and validated using synthetic mixtures and certified clinical reference materials. Deconvolution of the D2 (22P3/2 ← 22S1/2) and D1 (22P1/2 ← 22S1/2) transitions enabled isotope-resolved quantification, yielding accurate and consistent results across different matrices, with recoveries ranging from 95.5 to 115.5% when carrying out the determination of Li by isotope dilution using either a single-spike or a double-spike approach. Limits of detection ranged from 0.1 to 0.2 μg L–1, while limits of quantification ranged from 0.4 to 0.7 μg L–1, demonstrating the high sensitivity of the proposed approach. The results also indicate that the analytical performance is primarily controlled by the relative contribution of each isotope to the total absorbance. While the dominant isotope is quantified more easily and with higher reliability, the deconvolution approach enabled the determination of the minor component even under situations where it is increasingly affected by noise propagation and under conditions of strong spectral overlap. Overall, the proposed strategy demonstrates that physically informed spectral modeling enables robust lithium isotope analysis by HR-CS GFAAS and provides a general framework for addressing overlapping spectral features in atomic spectrometry.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lithium isotope analysis by high-resolution continuum source graphite furnace atomic absorption spectrometry (HR-CS GFAAS) remains challenging due to the strong spectral overlap of Doppler-broadened transitions. In this work, a physically constrained spectral deconvolution approach is introduced to resolve the overlapping fine-structure components of 7Li and 6Li without reliance on empirical or data-driven calibration models. The method is based on a physically informed description of the absorption profiles, in which the Gaussian line width (ΔFWHM) and transition parameters are optimized to reproduce the experimental spectra. The approach was evaluated over the concentration range of 1–10 μg L–1 using isotope-specific calibration and validated using synthetic mixtures and certified clinical reference materials. Deconvolution of the D2 (22P3/2 ← 22S1/2) and D1 (22P1/2 ← 22S1/2) transitions enabled isotope-resolved quantification, yielding accurate and consistent results across different matrices, with recoveries ranging from 95.5 to 115.5% when carrying out the determination of Li by isotope dilution using either a single-spike or a double-spike approach. Limits of detection ranged from 0.1 to 0.2 μg L–1, while limits of quantification ranged from 0.4 to 0.7 μg L–1, demonstrating the high sensitivity of the proposed approach. The results also indicate that the analytical performance is primarily controlled by the relative contribution of each isotope to the total absorbance. While the dominant isotope is quantified more easily and with higher reliability, the deconvolution approach enabled the determination of the minor component even under situations where it is increasingly affected by noise propagation and under conditions of strong spectral overlap. Overall, the proposed strategy demonstrates that physically informed spectral modeling enables robust lithium isotope analysis by HR-CS GFAAS and provides a general framework for addressing overlapping spectral features in atomic spectrometry.
Bazo, Antonio; Bolea-Fernandez, Eduardo; Rua-Ibarz, Ana; Resano, Martín; Badiei, Hamid; Clases, David; Raab, Andrea; Feldmann, Jörg; de Vega, Raquel Gonzalez
Direct Characterization of Halogen-Based Microplastics via Single-Event ICP-Mass Spectrometry in Negative-Ion Mode Artículo de revista
En: Anal. Chem., vol. 98, iss. 31, pp. 22977-22987, 2026.
@article{nokey,
title = {Direct Characterization of Halogen-Based Microplastics via Single-Event ICP-Mass Spectrometry in Negative-Ion Mode},
author = {Antonio Bazo and Eduardo Bolea-Fernandez and Ana Rua-Ibarz and Martín Resano and Hamid Badiei and David Clases and Andrea Raab and Jörg Feldmann and Raquel Gonzalez de Vega},
url = {https://pubs.acs.org/ancham/article/98/31/22977/5236192/Direct-Characterization-of-Halogen-Based},
doi = {10.1021/acs.analchem.6c02321},
year = {2026},
date = {2026-07-28},
urldate = {2026-07-28},
journal = {Anal. Chem.},
volume = {98},
issue = {31},
pages = {22977-22987},
abstract = {Halogen-containing microplastics such as polytetrafluoroethylene (PTFE) and poly(vinyl chloride) (PVC) are analytically relevant targets, yet their selective characterization by ICP-MS remains challenging, particularly for fluoropolymers due to the limited formation of F+ in conventional positive-ion mode. Here we introduce negative-ion single-event ICP-MS as a direct strategy for particle-resolved characterization of halogen-containing microplastics by monitoring F– and Cl– on a quadrupole ICP-MS without plasma modifiers or proxy-ion chemistry. PTFE and PVC particle standards were used as well-defined model systems, with scanning electron microscopy (SEM) confirming particle morphology and size distributions. Key acquisition and instrumental conditions governing event detectability were systematically optimized, enabling reliable transient detection at a dwell time of 100 μs. Using a conventional spray-chamber configuration, size detection limits of 1.18 μm (PTFE) and 0.73 μm (PVC) were achieved, improving to 0.68 μm (PTFE) and 0.45 μm (PVC) with a high-efficiency sample introduction system. Quantification strategies for negative-mode operation, including external calibration and transport-efficiency-based workflows, were further assessed. Overall, this work establishes negative-ion mode single-event ICP-MS as a direct platform for fluorine- and chlorine-selective microplastic detection and sizing, expanding the analytical scope of particle-resolved microplastic analysis beyond indirect fluorine detection or carbon-based approaches.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Halogen-containing microplastics such as polytetrafluoroethylene (PTFE) and poly(vinyl chloride) (PVC) are analytically relevant targets, yet their selective characterization by ICP-MS remains challenging, particularly for fluoropolymers due to the limited formation of F+ in conventional positive-ion mode. Here we introduce negative-ion single-event ICP-MS as a direct strategy for particle-resolved characterization of halogen-containing microplastics by monitoring F– and Cl– on a quadrupole ICP-MS without plasma modifiers or proxy-ion chemistry. PTFE and PVC particle standards were used as well-defined model systems, with scanning electron microscopy (SEM) confirming particle morphology and size distributions. Key acquisition and instrumental conditions governing event detectability were systematically optimized, enabling reliable transient detection at a dwell time of 100 μs. Using a conventional spray-chamber configuration, size detection limits of 1.18 μm (PTFE) and 0.73 μm (PVC) were achieved, improving to 0.68 μm (PTFE) and 0.45 μm (PVC) with a high-efficiency sample introduction system. Quantification strategies for negative-mode operation, including external calibration and transport-efficiency-based workflows, were further assessed. Overall, this work establishes negative-ion mode single-event ICP-MS as a direct platform for fluorine- and chlorine-selective microplastic detection and sizing, expanding the analytical scope of particle-resolved microplastic analysis beyond indirect fluorine detection or carbon-based approaches.
Souza, André L. M.; Aramendía, Maite; García-Ruiz, Esperanza; Nakadi, Flávio V.; Resano, Javier; Resano, Martín
Single- and dual-isotopic analysis using high-resolution continuum-source graphite-furnace molecular absorption. Strategies for data selection, processing, and modeling Artículo de revista
En: J. Anal. At. Spectrom., vol. 41, pp. 1951-1963, 2026.
@article{D6JA00062B,
title = {Single- and dual-isotopic analysis using high-resolution continuum-source graphite-furnace molecular absorption. Strategies for data selection, processing, and modeling},
author = {André L. M. Souza and Maite Aramendía and Esperanza García-Ruiz and Flávio V. Nakadi and Javier Resano and Martín Resano},
url = {http://dx.doi.org/10.1039/D6JA00062B},
doi = {10.1039/D6JA00062B},
year = {2026},
date = {2026-01-01},
urldate = {2026-01-01},
journal = {J. Anal. At. Spectrom.},
volume = {41},
pages = {1951-1963},
publisher = {The Royal Society of Chemistry},
abstract = {This work evaluates different strategies for data processing, aiming at achieving isotopic information via high-resolution continuum-source graphite-furnace molecular absorption. For this purpose, two different molecules are investigated: CaF and CaCl. In the first case, only the measurement of 44Ca and 40Ca is pursued, whereas in the second case, isotopic variations affect both elements present in the molecule (44Ca and 40Ca, but also 37Cl and 35Cl). Thus, two different approaches are proposed. For Ca isotopic analysis through the monitoring of CaF, the effects of selecting the number of detection pixels and the number of molecular spectra, as well as of using a regression approach for temporal data, are discussed. Overall, using three detector pixels and using this regression approach tend to produce the best results (0.5–1.0% RSD) for isotopic analysis via HR CS GFMAS in those situations in which the signal can be derived from two separate peaks. On the other hand, to perform simultaneous Ca and Cl isotopic analysis by monitoring CaCl, a machine-learning strategy is proposed. The performance of such a model is promising for isotopic abundances of at least 10% (median absolute percentage error of 1.21%), while the error escalates when one of the isotopes shows a lower abundance. To detect such underperforming situations in real-world settings, it is recommended to monitor the prediction uncertainty to set thresholds and flag results with poor reliability.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This work evaluates different strategies for data processing, aiming at achieving isotopic information via high-resolution continuum-source graphite-furnace molecular absorption. For this purpose, two different molecules are investigated: CaF and CaCl. In the first case, only the measurement of 44Ca and 40Ca is pursued, whereas in the second case, isotopic variations affect both elements present in the molecule (44Ca and 40Ca, but also 37Cl and 35Cl). Thus, two different approaches are proposed. For Ca isotopic analysis through the monitoring of CaF, the effects of selecting the number of detection pixels and the number of molecular spectra, as well as of using a regression approach for temporal data, are discussed. Overall, using three detector pixels and using this regression approach tend to produce the best results (0.5–1.0% RSD) for isotopic analysis via HR CS GFMAS in those situations in which the signal can be derived from two separate peaks. On the other hand, to perform simultaneous Ca and Cl isotopic analysis by monitoring CaCl, a machine-learning strategy is proposed. The performance of such a model is promising for isotopic abundances of at least 10% (median absolute percentage error of 1.21%), while the error escalates when one of the isotopes shows a lower abundance. To detect such underperforming situations in real-world settings, it is recommended to monitor the prediction uncertainty to set thresholds and flag results with poor reliability.
2025
Rua-Ibarz, Ana; Nakadi, Flávio V.; Bolea-Fernandez, Eduardo; Bazo, Antonio; Battistella, Beatrice; Matiushkina, Anna; Resch-Genger, Ute; Abad, Carlos; Resano, Martín
Discrete Entity Analysis via Microwave-Induced Nitrogen Plasma–Mass Spectrometry in Single-Event Mode Artículo de revista
En: Analytical Chemistry, vol. 97, pp. 24065-24072, 2025, (PMID: 41084806).
@article{,
title = {Discrete Entity Analysis via Microwave-Induced Nitrogen Plasma–Mass Spectrometry in Single-Event Mode},
author = {Ana Rua-Ibarz and Flávio V. Nakadi and Eduardo Bolea-Fernandez and Antonio Bazo and Beatrice Battistella and Anna Matiushkina and Ute Resch-Genger and Carlos Abad and Martín Resano},
url = {https://doi.org/10.1021/acs.analchem.5c04341},
doi = {10.1021/acs.analchem.5c04341},
year = {2025},
date = {2025-10-14},
urldate = {2025-10-14},
journal = {Analytical Chemistry},
volume = {97},
pages = {24065-24072},
abstract = {In this work, single-event microwave-induced nitrogen plasma–mass spectrometry (single-event MINP-MS) was evaluated for the first time for the analysis of discrete entities such as nanoparticles, biological cells, and microplastics. Nitrogen (N2) effectively overcomes Ar-based polyatomic interferences, enabling (ultra)trace element determination of Fe and Se using their most abundant isotopes, 56Fe (91.66%) and 80Se (49.82%). Iron oxide nanoparticles (Fe2O3 NPs) ranging from 20 to 70 nm were accurately characterized, with excellent agreement with established sizing techniques, such as transmission electron microscopy (TEM) and dynamic light scattering (DLS). A limit of detection (LoD) of 8.6 ag for Fe─equivalent to an LoDsize of 19 nm for Fe2O3─was achieved, which is significantly lower than recent values reported for high-end quadrupole-based ICP-MS. Selenium nanoparticles (SeNPs) of 150 and 250 nm were also accurately characterized, without the N2-based plasma experiencing issues handling relatively large metallic NPs (linearity, R2 = 0.9994). Se-enriched yeast cells (SELM-1 certified reference material) were successfully analyzed via single-cell MINP-MS using external calibration based on SeNPs and a transport efficiency-independent approach. In addition, 2–3 μm polystyrene (PS) and polytetrafluoroethylene (PTFE) were accurately sized by monitoring 12C+, confirming the method’s suitability for handling micrometer-sized polymeric materials (microplastics). The average duration of individual events (680 ± 160 μs) suggests that the digestion of individual entities in N2-based plasmas is comparable to that in Ar-based plasmas. These results open new avenues for this instrumentation as an alternative to ICP ionization sources, also in the context of discrete entity analysis.},
note = {PMID: 41084806},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this work, single-event microwave-induced nitrogen plasma–mass spectrometry (single-event MINP-MS) was evaluated for the first time for the analysis of discrete entities such as nanoparticles, biological cells, and microplastics. Nitrogen (N2) effectively overcomes Ar-based polyatomic interferences, enabling (ultra)trace element determination of Fe and Se using their most abundant isotopes, 56Fe (91.66%) and 80Se (49.82%). Iron oxide nanoparticles (Fe2O3 NPs) ranging from 20 to 70 nm were accurately characterized, with excellent agreement with established sizing techniques, such as transmission electron microscopy (TEM) and dynamic light scattering (DLS). A limit of detection (LoD) of 8.6 ag for Fe─equivalent to an LoDsize of 19 nm for Fe2O3─was achieved, which is significantly lower than recent values reported for high-end quadrupole-based ICP-MS. Selenium nanoparticles (SeNPs) of 150 and 250 nm were also accurately characterized, without the N2-based plasma experiencing issues handling relatively large metallic NPs (linearity, R2 = 0.9994). Se-enriched yeast cells (SELM-1 certified reference material) were successfully analyzed via single-cell MINP-MS using external calibration based on SeNPs and a transport efficiency-independent approach. In addition, 2–3 μm polystyrene (PS) and polytetrafluoroethylene (PTFE) were accurately sized by monitoring 12C+, confirming the method’s suitability for handling micrometer-sized polymeric materials (microplastics). The average duration of individual events (680 ± 160 μs) suggests that the digestion of individual entities in N2-based plasmas is comparable to that in Ar-based plasmas. These results open new avenues for this instrumentation as an alternative to ICP ionization sources, also in the context of discrete entity analysis.