000164083 001__ 164083
000164083 005__ 20251121161351.0
000164083 0247_ $$2doi$$a10.1016/j.aca.2025.344694
000164083 0248_ $$2sideral$$a146254
000164083 037__ $$aART-2025-146254
000164083 041__ $$aeng
000164083 100__ $$aBazo, Antonio$$uUniversidad de Zaragoza
000164083 245__ $$aImproving detection and figures of merit in single-particle inductively coupled plasma-mass spectrometry via transient event heights
000164083 260__ $$c2025
000164083 5060_ $$aAccess copy available to the general public$$fUnrestricted
000164083 5203_ $$aBackground: Single-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.
Results: A 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 μs–200 μs) 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.
Significance: This 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.
000164083 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E43-20R$$9info:eu-repo/grantAgreement/ES/DGA/PROY_E17_24$$9info:eu-repo/grantAgreement/ES/DGA/T58-23R$$9info:eu-repo/grantAgreement/EC/H2020/101034288/EU/International Fellowship Programme for Talent Attraction to the Campus of International Excellence Campus Iberus/IberusExperience$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101034288-IberusExperience$$9info:eu-repo/grantAgreement/ES/MICINN/PID2021-122455NB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-136454NB-C22$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031093-I
000164083 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000164083 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000164083 700__ $$0(orcid)0000-0002-1891-4359$$aLópez-Villellas, Lorién$$uUniversidad de Zaragoza
000164083 700__ $$aMataloni, Matilde
000164083 700__ $$aBolea-Fernandez, Eduardo
000164083 700__ $$aRua-Ibarz, Ana
000164083 700__ $$aGrotti, Marco
000164083 700__ $$0(orcid)0000-0002-3916-9992$$aAramendía, Maite$$uUniversidad de Zaragoza
000164083 700__ $$0(orcid)0000-0002-7450-8769$$aResano, Martín$$uUniversidad de Zaragoza
000164083 7102_ $$12009$$2750$$aUniversidad de Zaragoza$$bDpto. Química Analítica$$cÁrea Química Analítica
000164083 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000164083 773__ $$g1378 (2025), 344694 [10 pp.]$$pAnal. chim. acta$$tAnalytica Chimica Acta$$x0003-2670
000164083 8564_ $$s4629050$$uhttps://zaguan.unizar.es/record/164083/files/texto_completo.pdf$$yVersión publicada
000164083 8564_ $$s1802055$$uhttps://zaguan.unizar.es/record/164083/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000164083 909CO $$ooai:zaguan.unizar.es:164083$$particulos$$pdriver
000164083 951__ $$a2025-11-21-14:26:08
000164083 980__ $$aARTICLE