Issue 8, 2015

A new peak recognition algorithm for detection of ultra-small nano-particles by single particle ICP-MS using rapid time resolved data acquisition on a sector-field mass spectrometer

Abstract

The applicability of single particle inductively coupled plasma mass spectrometry (spICPMS) is currently limited to particles larger than ∼10 nm in diameter. In this work, the size detection limit (DLs) was improved by resolving the ion bursts originating from silver or gold nanoparticles (AgNPs or AuNPs) using real time data acquisition with 0.1 ms time resolution. Such acquisition is here called the Fast Acquisition Speed Technique (FAST). The analytical capabilities of the FAST were evaluated on a sector field instrument with high ion transmission efficiency (ITE). An algorithm for distinguishing particle events from dissolved and/or background signals was developed, and it was possible to detect 6.4 nm AuNPs that delivered only 2 ions to the detector. The influence of dwell time was investigated and it was concluded that the minimum DLs is achieved for dwell times close to the duration of particle events ∼0.2 ms. Attempts to further improve the DLs should therefore be focused on increasing the ITE of the mass spectrometer.

Graphical abstract: A new peak recognition algorithm for detection of ultra-small nano-particles by single particle ICP-MS using rapid time resolved data acquisition on a sector-field mass spectrometer

Supplementary files

Article information

Article type
Paper
Submitted
30 Mar 2015
Accepted
05 Jun 2015
First published
24 Jun 2015

J. Anal. At. Spectrom., 2015,30, 1723-1729

Author version available

A new peak recognition algorithm for detection of ultra-small nano-particles by single particle ICP-MS using rapid time resolved data acquisition on a sector-field mass spectrometer

J. Tuoriniemi, G. Cornelis and M. Hassellöv, J. Anal. At. Spectrom., 2015, 30, 1723 DOI: 10.1039/C5JA00113G

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