{"id":4272,"date":"2024-12-13T13:36:50","date_gmt":"2024-12-13T11:36:50","guid":{"rendered":"https:\/\/marte.i3a.es\/?p=4272"},"modified":"2025-09-29T10:59:58","modified_gmt":"2025-09-29T08:59:58","slug":"matilde-mataloni","status":"publish","type":"post","link":"https:\/\/marte.i3a.es\/es\/matilde-mataloni\/","title":{"rendered":"Matilde Mataloni"},"content":{"rendered":"
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    Investigadores<\/a><\/h3>\n

    Matilde Mataloni<\/strong><\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/li>\n\t\t<\/ul>\t\t\t\t
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      Tel\u00e9fono:<\/strong> +34<\/p>\n

      Email:<\/strong> matildemataloni@gmail.com <\/a><\/p>\n

      Direcci\u00f3n:<\/strong> c\/Pedro Cerbuna 12, Universidad de Zaragoza, Facultad de Ciencias, Departamento de Qu\u00edmica Anal\u00edtica \u2013 Zaragoza (Espa\u00f1a)<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n

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      Matilde Mataloni obtuvo su licenciatura en \"Chimica e Tecnologie Chimiche\" en la Universidad de G\u00e9nova (Italia) en 2021. Tras finalizar el m\u00e1ster en \"Scienze Chimiche\" en la misma Universidad, actualmente es estudiante de doctorado en cotutela entre la Universidad de G\u00e9nova y la Universidad de Zaragoga, respectivamente en los grupos de investigaci\u00f3n \"Chimica Analitica degli Elementi in Tracce\" y \"M\u00e9todos R\u00e1pidos de An\u00e1lisis con T\u00e9cnicas Espectrosc\u00f3picas \u2013 MARTE\".
      \nSu proyecto de investigaci\u00f3n se titula \"on the study of traditional and emerging contaminants in environmental samples via ICP-MS, both by isotopic analysis and single particle analysis.\"<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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      <\/a>
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      2025<\/h3>

      Bazo, Antonio; L\u00f3pez-Villellas, Lori\u00e9n; Mataloni, Matilde; Bolea-Fernandez, Eduardo; Rua-Ibarz, Ana; Grotti, Marco; Aramend\u00eda, Maite; Resano, Mart\u00edn<\/p>

      Improving detection and figures of merit in single-particle inductively coupled plasma-mass spectrometry via transient event heights<\/a> Art\u00edculo de revista<\/span> <\/p>

      En: <\/span>Analytica Chimica Acta, <\/span>vol. 1378, <\/span>pp. 344694, <\/span>2025<\/span>, ISSN: 0003-2670<\/span>.<\/p>

      Resumen<\/a><\/span> | Enlaces<\/a><\/span> | BibTeX<\/a><\/span><\/p>

      @article{BAZO2025344694,
      \r\ntitle = {Improving detection and figures of merit in single-particle inductively coupled plasma-mass spectrometry via transient event heights},
      \r\nauthor = {Antonio Bazo and Lori\u00e9n L\u00f3pez-Villellas and Matilde Mataloni and Eduardo Bolea-Fernandez and Ana Rua-Ibarz and Marco Grotti and Maite Aramend\u00eda and Mart\u00edn Resano},
      \r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0003267025010888},
      \r\ndoi = {https:\/\/doi.org\/10.1016\/j.aca.2025.344694},
      \r\nissn = {0003-2670},
      \r\nyear  = {2025},
      \r\ndate = {2025-01-01},
      \r\nurldate = {2025-01-01},
      \r\njournal = {Analytica Chimica Acta},
      \r\nvolume = {1378},
      \r\npages = {344694},
      \r\nabstract = {Background 
      \r\nSingle-particle inductively coupled plasma-mass spectrometry (SP-ICP-MS) is a powerful method for characterizing micro- and nanoparticulate materials. The technique primarily relies on the linear relationship between the integrated intensities of individual events (peak areas) and the analyte mass, though transit times (peak widths) have also been used for quantitative purposes. This work (1) evaluates the potential of using peak heights as analytical signals in SP-ICP-MS, (2) introduces a new method for determining peak heights, and (3) explores scenarios in which peak height offers added value over the commonly used SP-ICP-MS signals. 
      \r\nResults 
      \r\nA new method was proposed to estimate peak height values in SP-ICP-MS accurately. The cumulative intensity across consecutive dwell times was modeled using a third-degree polynomial, from which the adjusted peak height was derived. This approach reduces the uncertainty associated with using raw maximum intensity values, yielding NP distributions comparable to those obtained via integrated intensities. The effect of dwell time on peak height was also evaluated. An optimal range (50 \u03bcs\u2013200 \u03bcs) was identified, where a linear relationship was observed between the peak height and the square of the NP diameter. Within this range, peak height showed the lowest bias when characterizing smaller NPs, indicating the potential to improve the limit of quantification (LoQ). Additionally, peak heights proved helpful in determining the limit of detection (LoD) and setting appropriate threshold values for data processing, thereby helping to flag incorrect resultsand addressing a challenge in SP-ICP-MS analysis. 
      \r\nSignificance 
      \r\nThis is the first study to evaluate peak height as an analytical signal in SP-ICP-MS. The results highlight its advantages in specific applications, such as sizing NPs near the LoD, and in supporting the more reliable use of other signals, such as peak areas, by helping to identify incorrect threshold selection that could lead to biased distributions. Finally, monitoring peak heights allows for a more realistic and assumption-free determination of the LoD.},
      \r\nkeywords = {},
      \r\npubstate = {published},
      \r\ntppubtype = {article}
      \r\n}
      \r\n<\/pre><\/div>
      Cerrar<\/a><\/p><\/div>
      Background 
      \r\nSingle-particle inductively coupled plasma-mass spectrometry (SP-ICP-MS) is a powerful method for characterizing micro- and nanoparticulate materials. The technique primarily relies on the linear relationship between the integrated intensities of individual events (peak areas) and the analyte mass, though transit times (peak widths) have also been used for quantitative purposes. This work (1) evaluates the potential of using peak heights as analytical signals in SP-ICP-MS, (2) introduces a new method for determining peak heights, and (3) explores scenarios in which peak height offers added value over the commonly used SP-ICP-MS signals. 
      \r\nResults 
      \r\nA new method was proposed to estimate peak height values in SP-ICP-MS accurately. The cumulative intensity across consecutive dwell times was modeled using a third-degree polynomial, from which the adjusted peak height was derived. This approach reduces the uncertainty associated with using raw maximum intensity values, yielding NP distributions comparable to those obtained via integrated intensities. The effect of dwell time on peak height was also evaluated. An optimal range (50 \u03bcs\u2013200 \u03bcs) was identified, where a linear relationship was observed between the peak height and the square of the NP diameter. Within this range, peak height showed the lowest bias when characterizing smaller NPs, indicating the potential to improve the limit of quantification (LoQ). Additionally, peak heights proved helpful in determining the limit of detection (LoD) and setting appropriate threshold values for data processing, thereby helping to flag incorrect resultsand addressing a challenge in SP-ICP-MS analysis. 
      \r\nSignificance 
      \r\nThis is the first study to evaluate peak height as an analytical signal in SP-ICP-MS. The results highlight its advantages in specific applications, such as sizing NPs near the LoD, and in supporting the more reliable use of other signals, such as peak areas, by helping to identify incorrect threshold selection that could lead to biased distributions. Finally, monitoring peak heights allows for a more realistic and assumption-free determination of the LoD.<\/div>
      Cerrar<\/a><\/p><\/div>