Study on carbon-induced signal enhancement in inductively coupled plasma mass spectrometry: an approach from the spatial distribution of analyte signal intensities

2019 ◽  
Vol 34 (9) ◽  
pp. 1865-1874 ◽  
Author(s):  
Tomoko Ariga ◽  
Yanbei Zhu ◽  
Kazumi Inagaki
Keyword(s):  
Spatial Distribution ◽  
Inductively Coupled Plasma ◽  
Signal Enhancement ◽  
Inductively Coupled ◽  
Analyte Signal ◽  
Novel Approach ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Induced Signal ◽  
Signal Intensities

This study proposed a novel approach for quantifying carbon-induced signal enhancement in ICP-MS considering the spatial distribution of analyte signal intensities.

Application of inductively coupled plasma mass spectrometry in the study of apoptosis: determination of caspase-3 using a gold nanoparticle tag

The Analyst ◽  
2016 ◽  
Vol 141 (3) ◽  
pp. 926-933 ◽  
Author(s):  
Zhengru Liu ◽  
Beibei Chen ◽  
Man He ◽  
Xing Zhang ◽  
Han Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gold Nanoparticle ◽  
Inductively Coupled Plasma ◽  
Caspase 3 ◽  
Signal Enhancement ◽  
Secondary Antibody ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

A simple, fast and sensitive immunoassay for caspase-3 is established by using inductively coupled plasma mass spectrometry (ICP-MS) detection and signal enhancement gold nanoparticle (Au-NP) labelling of the secondary antibody (IgG).

Program Considerations for Simplex Optimization of Ion Lenses in ICP-MS

1998 ◽  
Vol 52 (5) ◽  
pp. 643-648 ◽  
Author(s):  
Christine Sartoros ◽  
Douglas M. Goltz ◽  
Eric D. Salin
Keyword(s):  
Inductively Coupled Plasma ◽  
Simplex Algorithm ◽  
Ratio Method ◽  
Average Mass ◽  
Target Vector ◽  
Inductively Coupled ◽  
Ion Optics ◽  
Analyte Signal ◽  
Icp Ms ◽  
Signal Intensities

The performance of an inductively coupled plasma mass spectrometer (ICP-MS) is dependent on the ion optic bias potentials. A discussion of the multielement optimization of the ICP-MS ion optics bias potentials using a Simplex algorithm is presented. Three objective functions were tested: a function developed by Leary; the combined ratio method (CRM); and the Euclidean distance from multicriteria target vector optimization. Both the Leary and the target vector optimization's performances were comparable, whereas the CRM optimizations placed an emphasis on obtaining similar signal intensities. Experiments determined that an initial Simplex starting size of 20% of the parameter space was optimal. A method for the selection of an appropriate target vector by predicting analyte signal intensity was also investigated. Signal intensities for all elements could be predicted with an acceptable margin of error (10–30%), provided that the same conditions were used. Comparisons of optimizations using a single mid-mass element vs. multielement optimizations revealed that the multielement approach is only slightly better. If the analyst wished to optimize lens settings to favor heavy or light elements, then an average mass was better than a mid-mass optimization.

Single Particle Inductively Coupled Plasma Mass Spectrometry: Investigating Nonlinear Response Observed in Pulse Counting Mode and Extending the Linear Dynamic Range by Compensating for Dead Time Related Count Losses on a Microsecond Timescale

2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nonlinear Response ◽  
Dynamic Range ◽  
Dead Time ◽  
Inorganic Nanoparticles ◽  
Linear Dynamic Range ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>

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