Author | Ed McCurdy

Ed McCurdy is ICP-MS Product Specialist with Agilent Technologies, Manchester, UK.

Articles

Method Development with ICP-MS/MS: Tools and Techniques to Ensure Accurate Results in Reaction Mode

September 01, 2019

Special Issues

Article

Method setup and optimization steps are explored to illustrate how an ICP-MS/MS method can be defined and tested to ensure consistent performance. Users can benefit from improved interference removal performance without the complex method development inherent in the use of ion-molecule reaction chemistry

ICP-MS: Essential Steps to Optimize Matrix Tolerance

August 02, 2019

Special Issues

Article

Accurate Measurement of Ultrafine Silica Nanoparticles Using ICP-MS/MS

September 01, 2017

Special Issues

Article

A method to measure ultrafine silica nanoparticles using ICP-MS/MS to control the elemental and polyatomic ion backgrounds is described here.

Tandem Mass Spectrometry Improves ICP-MS Detection Limits and Accuracy for Trace Level Analysis of Titanium

November 01, 2015

Special Issues

Article

Titanium (Ti) is used in lightweight alloys, catalysts, cutting and grinding tools, and medical implants. Most Ti is refined into the white pigment titanium dioxide (TiO2), used in paint, paper, plastics and food, and in consumer products such as toothpaste and sunscreens. TiO2 is considered inert and safe, but TiO2 nanoparticles are much more reactive and bioavailable, so they may have adverse effects on human health and the environment. There is a need for analytical techniques and methods for accurate, low level analysis of Ti in environmental samples, biological tissues, and other samples. This application is difficult for conventional quadrupole ICP-MS because of the presence of matrix-based spectral interferences on the isotopes of Ti. In this paper, we show how the interferences can be removed using tandem ICP-MS (ICP-MS-MS). This allows sub-ng/L (ppt) detection limits to be achieved, and ensures that accuracy is maintained in the presence of complex sample matrices