Literature DB >> 29136808

An approach for quantification of platinum distribution in tissues by LA-ICP-MS imaging using isotope dilution analysis.

I Moraleja1, M L Mena1, A Lázaro2, B Neumann3, A Tejedor2, N Jakubowski4, M M Gómez-Gómez5, D Esteban-Fernández4.   

Abstract

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been revealed as a convenient technique for trace elemental imaging in tissue sections, providing elemental 2D distribution at a quantitative level. For quantification purposes, in the last years several approaches have been proposed in the literature such as the use of CRMs or matrix matched standards. The use of Isotope Dilution (ID) for quantification by LA-ICP-MS has been also described, being mainly useful for bulk analysis but not feasible for spatial measurements so far. In this work, a quantification method based on ID analysis was developed by printing isotope-enriched inks onto kidney slices from rats treated with antitumoral Pt-based drugs using a commercial ink-jet device, in order to perform an elemental quantification in different areas from bio-images. For the ID experiments 194Pt enriched platinum was used. The methodology was validated by deposition of natural Pt standard droplets with a known amount of Pt onto the surface of a control tissue, where could be quantified even 50pg of Pt, with recoveries higher than 90%. The amount of Pt present in the whole kidney slices was quantified for cisplatin, carboplatin and oxaliplatin-treated rats. The results obtained were in accordance with those previously reported. The amount of Pt distributed between the medullar and cortical areas was also quantified, observing different behavior for the three drugs.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Imaging; Isotopic dilution; Kidney; LA-ICP-MS; Pt-based drugs; Quantification

Mesh:

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Year:  2017        PMID: 29136808     DOI: 10.1016/j.talanta.2017.09.031

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  4 in total

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  4 in total

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