Trace Elements Analysis of Geological Samples by Laser Ablation Inductively Coupled Plasma Mass Spe

来源 :Journal of China University of Geosciences | 被引量 : 0次 | 上传用户:eoast
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This paper describes recent work applying a laser ablation system (LSX 200) hyphenated with POEMS Ⅲ inductively coupled plasma mass spectrometry (LA ICP MS) for the in situ analysis of 22 trace elements of solid geological materials. It demonstrates the potential of LA ICP MS for the determination of geochemically important trace and ultra trace elements following XRF routine sample preparation. Signal drift, difference in transport efficiency and sampling yield are well corrected with NIST SRM 612 as external calibration standard and Ca as internal standard. The obtained results agree to the recommended values with relative error better than 15 % and RSD less than 15 % for most determined trace elements. LOD ranges from 0.021×10-6 to 0.23×10-6 and less than 0.10×10-6 for majority trace elements determined. In addition, home made macro functions including filter and calculator compiled by VBA language under Excel software greatly enhanced off line data reduction efficiency. This paper describes recent work applying a laser ablation system (LSX 200) hyphenated with POEMS III inductively coupled plasma mass spectrometry (LA ICP MS) for the in situ analysis of 22 trace elements of solid geological materials. It demonstrates the potential of LA ICP MS for the determination of geochemically important trace and ultra trace elements XRF routine sample preparation. Signal drift, difference in transport efficiency and sampling yield are well corrected with NIST SRM 612 as external calibration standard and Ca as internal standard. recommended values ​​with relative error better than 15% and RSD less than 15% for most determined trace elements. LOD ranges from 0.021 × 10-6 to 0.23 × 10-6 and less than 0.10 × 10-6 for majority trace elements determined. In addition, home made macro functions including filter and compiled by VBA language under Excel software greatly enhanced off line data reduction efficienc y
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