Multi-element analysis of melt and fluid inclusions with improved detection capabilities for Ca and Fe using laser ablation with a dynamic reaction cell ICP-MS
D. Gunther et al., Multi-element analysis of melt and fluid inclusions with improved detection capabilities for Ca and Fe using laser ablation with a dynamic reaction cell ICP-MS, J ANAL ATOM, 16(9), 2001, pp. 1085-1090
Analysis of melt and fluid inclusions by laser ablation inductively coupled
plasma mass spectrometry has contributed significantly to our understandin
g of magmatic and hydrothermal processes. The combination of laser ablation
and ICP-MS detection allows the quantification of it wide variety or eleme
nts in inclusions its small as 10 mum. The transient nature of the signal a
nd the low amount of sample material have maintained quadrupole based ICP-M
S as the instrumentation of choice. due to high sensitivities combined with
fast sequential detection capabilities. However, the detection of some ele
ments was limited due to polyatomic and isobaric interferences. Recently in
troduced dynamic reaction cell technology offers the reduction of interfere
nces commonly found in ICP-MS and thus the determination of important eleme
nts with improved signal to noise ratio. The capability of a dynamic reacti
on cell for multi-element analysis with short transient signals was studied
for the simultaneous determination of major, minor and trace element conce
ntrations in single fluid and melt inclusions. Analyses performed with the
dynamic reaction cell were compared with results obtained ill the standard
mode operation of the ICP-MS. The results show that the reaction cell is we
ll Suited for fast transient multi-element analysis, providing very compara
ble results to the standard mode. Hydrogen has been found efficient for rem
oving Ar+ and Ar-based polyatomic ions from the mass spectrum when a buffer
gas is added to enhance thermalization of the ions. Due to this, the limit
s of detection for Ca were improved by 2.5 orders of magnitude and a factor
of 20 for Fe using the most abundant isotopes for analysis.