Overcoming interferences in inductively coupled plasma mass spectrometry via gas-flow modulation : Part 1. Fourier transform methods

2006 ◽  
Vol 21 (12) ◽  
pp. 1367 ◽  
Author(s):  
William C. Wetzel ◽  
Gary M. Hieftje
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Inductively Coupled Plasma ◽  
Gas Flow ◽  
Transform Methods ◽  
Flow Modulation ◽  
Inductively Coupled ◽  
Fourier Transform Methods ◽  
Plasma Mass Spectrometry

Fourier Transform Infrared (FT-IR) and Laser Ablation Inductively Coupled Plasma–Mass Spectrometry (LA-ICP-MS) Imaging of Cerebral Ischemia: Combined Analysis of Rat Brain Thin Cuts Toward Improved Tissue Classification

2017 ◽  
Vol 72 (2) ◽  
pp. 241-250 ◽  
Author(s):  
Anna Balbekova ◽  
Hans Lohninger ◽  
Geralda A.F. van Tilborg ◽  
Rick M. Dijkhuizen ◽  
Maximilian Bonta ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Inductively Coupled Plasma ◽  
Brain Regions ◽  
Hyperspectral Data ◽  
Data Sets ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Ft Ir

Microspectroscopic techniques are widely used to complement histological studies. Due to recent developments in the field of chemical imaging, combined chemical analysis has become attractive. This technique facilitates a deepened analysis compared to single techniques or side-by-side analysis. In this study, rat brains harvested one week after induction of photothrombotic stroke were investigated. Adjacent thin cuts from rats’ brains were imaged using Fourier transform infrared (FT-IR) microspectroscopy and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The LA-ICP-MS data were normalized using an internal standard (a thin gold layer). The acquired hyperspectral data cubes were fused and subjected to multivariate analysis. Brain regions affected by stroke as well as unaffected gray and white matter were identified and classified using a model based on either partial least squares discriminant analysis (PLS-DA) or random decision forest (RDF) algorithms. The RDF algorithm demonstrated the best results for classification. Improved classification was observed in the case of fused data in comparison to individual data sets (either FT-IR or LA-ICP-MS). Variable importance analysis demonstrated that both molecular and elemental content contribute to the improved RDF classification. Univariate spectral analysis identified biochemical properties of the assigned tissue types. Classification of multisensor hyperspectral data sets using an RDF algorithm allows access to a novel and in-depth understanding of biochemical processes and solid chemical allocation of different brain regions.

Neon Inductively Coupled Plasma for Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry

2002 ◽  
Vol 56 (5) ◽  
pp. 658-664 ◽  
Author(s):  
Caroline M. Petibon ◽  
Henry P. Longerich ◽  
Ingo Horn ◽  
Mike N. Tubrett
Keyword(s):  
Mass Spectrometry ◽  
Laser Ablation ◽  
Inductively Coupled Plasma ◽  
Gas Flow ◽  
Concentration Data ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Sensitivity Data ◽  
Varying Mass

The use of a neon inductively coupled plasma (Ne ICP) in place of an argon inductively coupled plasma (Ar ICP) for laser ablation microprobe-inductively coupled plasma-mass spectrometry (LAM-ICP-MS) is demonstrated. Gas blank mass spectra were obtained comparing the signals obtained with an Ar ICP with the Ne ICP. Sensitivity (signal/concentration) data were also obtained for a number of analytes using solid reference materials. The sensitivity data is complicated by significant changes in optimum Ne ICP parameters (especially nebulizer gas flow) for analytes of varying mass. The sensitivity of the Ne ICP is in general also lower than that obtained for the Ar ICP. The potential for the Ne ICP to reduce the formation of argides, both in the background and from sample induced interferences, is demonstrated. Clearly shown is the reduction of the interferences of 63Cu40Ar and 65Cu40Ar on 103Rh and 105Pd in a Cu2S sample, as well as the reduction of the interferences of 58Ni40Ar and 60Ni40Ar on 98Ru and 100Ru in a NiS sample.

Partial leaching as an aid to slurry nebulization for the analysis of soils by ICP-MS with flow injection and mixed-gas plasmas

1999 ◽  
Vol 77 (4) ◽  
pp. 409-415 ◽  
Author(s):  
Anthony Treveidi Persaud ◽  
Diane Beauchemin ◽  
Heather Edith Jamieson ◽  
Robert JC McLean
Keyword(s):  
Mass Spectrometry ◽  
Flow Injection ◽  
Inductively Coupled Plasma ◽  
Gas Flow ◽  
Acid Leaching ◽  
Mixed Gas ◽  
Inductively Coupled ◽  
Gas Plasma ◽  
Plasma Mass Spectrometry ◽  
Slurry Nebulization

Acid leaching (with 1 mol dm-3 HNO3) was combined with slurry nebulization in inductively coupled plasma mass spectrometry, with mixed-gas plasmas and flow injection, in an attempt to facilitate the quantitative analysis of heterogeneous materials such as soils. Matrices analyzed ranged from marine sediment to metal-contaminated soil, and were chosen for their variety in elemental composition and matrix structure. Slurries were prepared by first grinding the material to less than 3 μm in high-purity water and then diluting to 0.1% (w/v) with 1 mol dm-3 HNO3, which served as both a dispersing and a leaching agent. The resulting slurries were injected (0.25 cm3) into a deionized distilled water carrier. Under these conditions, the sensitivity was about 85% of that achieved by continuous nebulization. Multivariate optimization of the nitrogen percentage, forward torch power, and aerosol carrier gas flow rate was conducted to find conditions maintaining sensitivity constant between different slurries. Since no set of conditions was optimal for all elements, a compromise set was selected, which resulted in accurate results for La and Pb in a series of reference materials, by calibrating with aqueous standards. On the other hand, the results for V and Cr were almost systematically low, indicating that the compromise plasma conditions did not allow complete atomization/ionization of these elements.Key words: inductively coupled plasma mass spectrometry, slurry nebulization, flow injection, mixed-gas plasma.

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