Evidence map›Paper›PMID 42728373›Full record

ArticleAnalytical and bioanalytical chemistry2026

Evaluation of extraction capabilities of protease, proteinase K, and TMAH for nanoparticle characterization in biological CRMs by spICP-MS.

Filip Gregar, Doaa Abouelenein, Katrin Loeschner, Zuzana Gajdosechova

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Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Filip GregarMetrology Research Center, National Research Council Canada, 1200 Montreal Road, Ottawa, ON, K1A 0R6, Canada.
Doaa AboueleneinResearch Group for Analytical Food Chemistry, National Food Institute, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Katrin LoeschnerResearch Group for Analytical Food Chemistry, National Food Institute, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Zuzana GajdosechovaMetrology Research Center, National Research Council Canada, 1200 Montreal Road, Ottawa, ON, K1A 0R6, Canada. Zuzana.Gajdosechova@nrc-cnrc.gc.ca.ORCID http://orcid.org/0000-0002-6174-181X

Funding

Internal Grant Agency of Palacký University IGA_PrF_2025_027
6 · The paper itself

Abstract

Reliable method development and validation rely on certified reference materials (CRMs) that ideally provide accurate analyte values independent of sample preparation and analytical methodology. Although inorganic nanoparticles (NPs) are increasingly being investigated in biological systems, biological matrix CRMs certified for NP characterization are not yet available. In this study, five biological CRMs (DOLT-4, DOLT-5, DORM-4, DORM-5, and TORT-3) were extracted using three commonly employed protocols based on proteinase K, protease, and tetramethylammonium hydroxide (TMAH). The resulting extracts were analyzed by single-particle ICP-MS (spICP-MS) to determine particle number concentrations (PNCs) and particle size distributions (PSDs) of Ag-, Al-, Cu-, Cr-, Fe-, Hg-, Se-, Si-, Ti-, and Zn-containing nanoparticles. Both PNCs and PSDs varied substantially among the extraction protocols, demonstrating that sample preparation is a major source of variability in NP characterization. In addition to differences in extraction performance, elevated NP backgrounds were observed for several elements in the TMAH reagent, highlighting the importance of evaluating reagent-derived contamination when interpreting spICP-MS results. Investigation of Hg- and Se-containing NPs in DOLT-4, DORM-5, and TORT-3 further demonstrated that incomplete tissue digestion and residual matrix fragments complicate particle identification and interpretation. Overall, this work provides a systematic comparison of commonly used extraction strategies for the analysis of naturally occurring NPs in biological CRMs, identifies current limitations associated with sample preparation, and provides guidance for future method development and the design of biological CRMs for NP characterization.

Indexed as

Enzymatic extractionHgSe nanoparticlesNPs in CRMsSPCalspICP-MS

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.