Abstract
Single-particle time-of-flight mass spectrometry (spICP-TOFMS) is quickly becoming an established method for the measurement, quantification, and classification of diverse populations of metal-containing nanoparticles (NPs) and submicron particles (μPs). As researchers begin to acquire larger multi-sample spICP-TOFMS datasets, robust batch-analysis programs are essential. To meet this need, our lab has developed and tested a set of spICP-TOFMS data analysis programs called “time-of-flight single particle investigator” or “TOF-SPI.” These programs are written in LabVIEW and are now available for use as a Windows executable program. TOF-SPI is developed for the analysis of data from icpTOF (TOFWERK AG) instruments and works directly with the instrument-generated HDF5 files. TOF-SPI is a data analysis program that assimilates years of spICP-TOFMS data analysis strategies to provide accurate single-particle finding, split-event correction, quantification of number concentrations, quantification of element mass amounts per particle, and generation of user-readable output reports. TOF-SPI is capable of performing batch analyses of spICP-TOFMS data calibrated with either the particle-size method or online microdroplet calibration. Here, we report the basic operating principles of TOF-SPI.
Original language | English |
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Pages (from-to) | 704-711 |
Number of pages | 8 |
Journal | Journal of Analytical Atomic Spectrometry |
Volume | 39 |
Issue number | 3 |
DOIs | |
State | Published - Jan 15 2024 |
Externally published | Yes |
Funding
A. G.-G. would like to thank his research group for the team effort in developing, testing, and describing TOF-SPI. A. G.-G. also thanks Dr Kamyar Mehrabi who was key in developing several data analysis strategies incorporated into TOF-SPI. The authors thank Dr Lyndsey Hendriks and Dr Fred Oestland from TOFWERK for discussions and implementation of mass-dependent SIS acquisitions in the TofPilot instrument control software. We also acknowledge funding from Iowa State University (ISU) through a Faculty Start-up Grant and NSF CAREER grant CHE-2237291.