JOURNAL ARTICLE
Development, Validation, and Application of a Fast Sequential Method for Na, K, Ca, and Mg Determination in Hemodialysis Solutions by HR-CS F AAS.
Published In: Journal of AOAC International, 2025, v. 108, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Schwartzhaupt, Flávia E; Kolling, Leandro; Boschetti, Wiliam; Garcia, Cássia V; Silva, Márcia M da; Vale, Maria Goreti R; Dessuy, Morgana B; Mendez, Andreas S L 3 of 3
Abstract
This article focuses on the development and validation of a high-resolution continuum source flame atomic absorption spectrometry (HR-CS F AAS) method for the simultaneous determination of sodium (Na), potassium (K), calcium (Ca), and magnesium (Mg) in hemodialysis solutions. Using a Design of Experiments approach with the Doehlert Matrix and desirability function, the method was optimized and validated according to International Council for Harmonisation (ICH) guidelines, demonstrating selectivity, linearity, precision, accuracy, and robustness. The method requires only a single dilution step and allows sequential multielement analysis in one run, significantly reducing sample preparation and measurement time compared to the monoelemental European Pharmacopoeia method. Results from commercial hemodialysis solutions showed good agreement with the European Pharmacopoeia method, indicating that this HR-CS F AAS approach is a reliable and efficient alternative for quality control of these pharmaceutical products.
Additional Information
- Source:Journal of AOAC International. 2025/01, Vol. 108, Issue 1, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2025
- ISSN:1060-3271
- DOI:10.1093/jaoacint/qsae078
- Accession Number:182534537
- Copyright Statement:Copyright of Journal of AOAC International is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.