Accurate determination of lead in Chinese herbs using isotope dilution inductively coupled plasma mass spectrometry (ID-ICP-MS)

Chung Wah James LAM, Kam-kit CHAN, Yiu-chung YIP, Wai-fong TONG, Della Wai-mei SIN

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Abstract

A method for the determination of Pb in Chinese herbs based on “approximate matching” isotope dilution inductively coupled plasma mass spectrometry was developed. The method was validated using NIST SRM 1547 (Peach Leaves). Satisfactory analytical figures of merit were achieved, including good sample recovery (∼99%) and low relative expanded uncertainty (less than ±2%). The validated method was applied to the analysis of a herbal sample for the international comparison CCQM-P97. Measurement uncertainty was evaluated according to three approaches, namely Kragten’s spreadsheet approach, GUM Workbench and Monte Carlo method (MCM). A practical way was established for the evaluation of measurement uncertainty based on the propagation of distributions using MCM. The validated method was also employed for the provision of SI-traceable mass fraction of Pb in an in-house herbal reference material and the assignment of a reference value to a proficiency testing programme. Copyright © 2009 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)552-560
JournalFood Chemistry
Volume121
Issue number2
DOIs
Publication statusPublished - 15 Jul 2010

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Inductively coupled plasma mass spectrometry
isotope dilution technique
atomic absorption spectrometry
Isotopes
Dilution
herbs
Mass Spectrometry
Uncertainty
Monte Carlo Method
Monte Carlo method
uncertainty
Monte Carlo methods
Spreadsheets
methodology
normal values
peaches
Recovery
Reference Values
Testing
sampling

Citation

Lam, J. C.-W., Chan, K.-K., Yip, Y.-C., Tong, W.-F., & Sin, D. W.-M. (2010). Accurate determination of lead in Chinese herbs using isotope dilution inductively coupled plasma mass spectrometry (ID-ICP-MS). Food Chemistry, 121(2), 552-560. doi: 10.1016/j.foodchem.2009.12.046

Keywords

  • Lead
  • Chinese herbs
  • ID-ICP-MS
  • Measurement uncertainty
  • Monte Carlo method