A new washing procedure for inorganic element analysis of hair.


Journal

Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796

Informations de publication

Date de publication:
09 2019
Historique:
received: 01 02 2018
accepted: 27 11 2018
revised: 23 11 2018
pubmed: 24 1 2019
medline: 20 6 2020
entrez: 24 1 2019
Statut: ppublish

Résumé

Hair incorporates chemical compounds from the bloodstream and external sources as it grows. Different analytical procedures are proposed, but no consensus can be found for external contamination removal (washing stage). Thus, a major limitation of the use of hair analysis for human biomonitoring is the issue related to the washing efficiency, and the objective of this study was to propose a simple washing method for a better cleaning of external contamination. Based on a sequence of three steps of detergent or acid washing (Triton, nitric acid, and hydrochloric acid), the TNCl method was tested on raw and spiked samples and compared to other methods. Thirty-seven inorganic elements were analyzed by inductively Coupled Plasma Mass Spectrometry (ICP-MS) after washing and acid digestion of 10 hair samples (Li, Be, Na, Mg, Al, P, K, Ca, V, Cr, Fe, Mn, Co, N, Cu, Zn, As, Se, Sr, Mo, Ru, Ag, Cd, Sn, Sb, Cs, Ba, La, Ce, Nd, Gd, Lu, Tl, Pb, Bi, Th, and U). The inorganic element concentrations in the hair samples were compared to those reported in the literature. The TNCl method was shown to be more efficient than other methods based on the use of surfactants and organic solvents.

Identifiants

pubmed: 30670772
doi: 10.1038/s41370-018-0112-3
pii: 10.1038/s41370-018-0112-3
doi:

Substances chimiques

Detergents 0
Inorganic Chemicals 0
Trace Elements 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

706-717

Auteurs

Dominique Verrey (D)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France.

Séverine Durand (S)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France.

Olivier Thomas (O)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France.

Vanessa Lelévrier (V)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France.

Philippe Quénel (P)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France.

Barbara Le Bot (B)

Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, F-35043, France. barbara.lebot@ehesp.fr.

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Classifications MeSH