高等学校化学学报 ›› 1999, Vol. 20 ›› Issue (S1): 78.

• Atomic Spectrometry • 上一篇    下一篇

Compromised Conditions for Multielement Analysis of Geological Samples Using Inductively Coupled Plasma Optical Emission and Mass Spectrometry

LIN Sou-Lin1, HU Sheng-Hong2, GAO Shan2   

  1. 1. Faculty of Material Science and Chemical Engineering, China University of Geosciences, Wuhan 430074, P. R. China;
    2. Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, P. R. China
  • 出版日期:1999-12-31 发布日期:1999-12-31

Compromised Conditions for Multielement Analysis of Geological Samples Using Inductively Coupled Plasma Optical Emission and Mass Spectrometry

LIN Sou-Lin1, HU Sheng-Hong2, GAO Shan2   

  1. 1. Faculty of Material Science and Chemical Engineering, China University of Geosciences, Wuhan 430074, P. R. China;
    2. Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, P. R. China
  • Online:1999-12-31 Published:1999-12-31

摘要:

Inductively coupled plasma Mass Spectrometry (ICP-MS) has rapidly become an established method for multielemental analysis of geological samples in the recent years, offering rapid analysis capabilities, an ability to measure most elements in the periodic table and relative straightforward sample preparation.However, it is increasingly apparent that fully quantitative measurement by ICP-MS can only be achieved provided variation in instrument sensitivity during the course of an analytical run and the introduction of different matrices be minimized or monitored and corrected for.

Abstract:

Inductively coupled plasma Mass Spectrometry (ICP-MS) has rapidly become an established method for multielemental analysis of geological samples in the recent years, offering rapid analysis capabilities, an ability to measure most elements in the periodic table and relative straightforward sample preparation.However, it is increasingly apparent that fully quantitative measurement by ICP-MS can only be achieved provided variation in instrument sensitivity during the course of an analytical run and the introduction of different matrices be minimized or monitored and corrected for.

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