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Analytical validation of an inductively coupled plasma mass spectrometry method for urinary iodine concentration measurements in Taiwan by Chun-Jui Huang; Lin-Hsuan Lee; Cheng-Pin Cheng; Harn-Shen Chen; Chii-Min Hwu; Kam-Tsun Tang; Chiao-Wei Shih; Chang-Ching Yeh; Fan-Fen Wang; Chen-Chang Yang is a Medicine article available to read on EtoBox.
What is Analytical validation of an inductively coupled plasma mass spectrometry method for urinary iodine concentration measurements in Taiwan about?
Background: Urinary iodine concentration (UIC) measured by Sandell-Kolthoff spectrophotometric method has been used in the Nutrition and Health Surveys in Taiwan but this method is time consuming and produces toxic waste from arsenic trioxide. The aim of this study was to develop and validate an inductively coupled plasma mass spectrometry (ICP-MS) system to determine UIC in Taiwan. Methods: Samples and iodine calibrators were diluted 100-fold into an aqueous solution containing Triton X-100, 0.5% ammonia solution, and tellurium ( 128 Te) as an internal standard. Digestion prior to analysis was not necessary. Precision, accuracy, serial dilution, and recovery tests were performed. A total of 1243 urine samples covering a wide range of iodine concentrations were measured by both Sandell-Kolthoff method and ICP-MS. Passing-Bablok regression and BlandeAltman plots were used to compare values across methods. Results: The limit for detection and quantification by ICP-MS was 0.95 mg/L and 2.85 mg/L, respectively. The intra-assay and inter-assay coefficients were <10%, with a recovery range of 95%e105%. The results obtained by ICP-MS and the Sandell-Kolthoff method were highly correlated
Who reads Analytical validation of an inductively coupled plasma mass spectrometry method for urinary iodine concentration measurements in Taiwan?
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- Author
- Chun-Jui Huang; Lin-Hsuan Lee; Cheng-Pin Cheng; Harn-Shen Chen; Chii-Min Hwu; Kam-Tsun Tang; Chiao-Wei Shih; Chang-Ching Yeh; Fan-Fen Wang; Chen-Chang Yang
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)