Automated methods for multi-isotopic analysis of major cations in biological samples: application to chronic kidney disease of unknown etiology.

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Title: Automated methods for multi-isotopic analysis of major cations in biological samples: application to chronic kidney disease of unknown etiology.
Authors: Grigoryan R; Division of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA. rosa.grigoryan@duke.edu.; Shared Materials Instrumentation Facility, Pratt School of Engineering, Duke University, Durham, NC, USA. rosa.grigoryan@duke.edu., Swenson W; Elemental Scientific Inc., Omaha, NE, USA., Field MP; Elemental Scientific Inc., Omaha, NE, USA., De Silva MC; Department of Zoology, University of Ruhuna, Matara, Sri Lanka., Strasma A; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA., Jayasundara N; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.; Division of Environmental Natural Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA., Kipp MA; Division of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA. michael.kipp@duke.edu.
Source: Analytical and bioanalytical chemistry [Anal Bioanal Chem] 2026 Mar; Vol. 418 (5), pp. 1497-1510. Date of Electronic Publication: 2026 Jan 14.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101134327 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-2650 (Electronic) Linking ISSN: 16182642 NLM ISO Abbreviation: Anal Bioanal Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1618-2650
DOI:10.1007/s00216-025-06309-w