A methodological inter-comparison study on the detection of surface contaminant sodium dodecyl sulfate applying ambient- and vacuum-based techniques.

Ambient mass spectrometry Biomedical devices Fourier transform infrared spectroscopy Raman spectroscopy Reference-free X-ray fluorescence spectroscopy Sodium dodecyl sulfate

Journal

Analytical and bioanalytical chemistry
ISSN: 1618-2650
Titre abrégé: Anal Bioanal Chem
Pays: Germany
ID NLM: 101134327

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 06 08 2018
accepted: 12 10 2018
revised: 07 10 2018
pubmed: 8 11 2018
medline: 20 2 2019
entrez: 8 11 2018
Statut: ppublish

Résumé

Biomedical devices are complex products requiring numerous assembly steps along the industrial process chain, which can carry the potential of surface contamination. Cleanliness has to be analytically assessed with respect to ensuring safety and efficacy. Although several analytical techniques are routinely employed for such evaluation, a reliable analysis chain that guarantees metrological traceability and quantification capability is desirable. This calls for analytical tools that are cascaded in a sensible way to immediately identify and localize possible contamination, both qualitatively and quantitatively. In this systematic inter-comparative approach, we produced and characterized sodium dodecyl sulfate (SDS) films mimicking contamination on inorganic and organic substrates, with potential use as reference materials for ambient techniques, i.e., ambient mass spectrometry (AMS), infrared and Raman spectroscopy, to reliably determine amounts of contamination. Non-invasive and complementary vibrational spectroscopy techniques offer a priori chemical identification with integrated chemical imaging tools to follow the contaminant distribution, even on devices with complex geometry. AMS also provides fingerprint outputs for a fast qualitative identification of surface contaminations to be used at the end of the traceability chain due to its ablative effect on the sample. To absolutely determine the mass of SDS, the vacuum-based reference-free technique X-ray fluorescence was employed for calibration. Convex hip liners were deliberately contaminated with SDS to emulate real biomedical devices with an industrially relevant substance. Implementation of the aforementioned analytical techniques is discussed with respect to combining multimodal technical setups to decrease uncertainties that may arise if a single technique approach is adopted. Graphical abstract ᅟ.

Identifiants

pubmed: 30402675
doi: 10.1007/s00216-018-1431-x
pii: 10.1007/s00216-018-1431-x
doi:

Substances chimiques

Sodium Dodecyl Sulfate 368GB5141J

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

217-229

Auteurs

Andrea M Giovannozzi (AM)

Quality of Life Division, INRIM, Strada delle Cacce 91, 10135, Turin, Italy. a.giovannozzi@inrim.it.

Andrea Hornemann (A)

Physikalisch-Technische Bundesanstalt Berlin (PTB), Abbestr. 2-12, 10587, Berlin, Germany.

Beatrix Pollakowski-Herrmann (B)

Physikalisch-Technische Bundesanstalt Berlin (PTB), Abbestr. 2-12, 10587, Berlin, Germany.

Felicia M Green (FM)

National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Hampton Road, Middlesex, Teddington, TW11 0LW, UK.

Paul Gunning (P)

Smith & Nephew Advanced Wound Management, 101 Hessle Road, Hull, HU3 2BN, UK.

Tara L Salter (TL)

National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Hampton Road, Middlesex, Teddington, TW11 0LW, UK.
Department of Chemistry, School of Life Sciences, University of Sussex, Falmer, Brighton, BN1 9QJ, UK.

Rory T Steven (RT)

National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Hampton Road, Middlesex, Teddington, TW11 0LW, UK.

Josephine Bunch (J)

National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Hampton Road, Middlesex, Teddington, TW11 0LW, UK.
Department of Surgery & Cancer, Computational and Systems Medicine, Imperial College London, London, SW7 2AZ, UK.

Chiara Portesi (C)

Quality of Life Division, INRIM, Strada delle Cacce 91, 10135, Turin, Italy.

Bonnie J Tyler (BJ)

University of Münster, 48149, Münster, Germany.

Burkhard Beckhoff (B)

Physikalisch-Technische Bundesanstalt Berlin (PTB), Abbestr. 2-12, 10587, Berlin, Germany.

Andrea Mario Rossi (AM)

Quality of Life Division, INRIM, Strada delle Cacce 91, 10135, Turin, Italy.

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Classifications MeSH