Accepted Manuscript -
Paper
Evaluation of Laser-Induced and ICP-Induced Elemental Fractionation Using Laser Ablation-ICP-TOFMS
Single-particle isotope ratio analysis of lanthanide-doped microplastics using inductively coupled plasma time-of-flight mass spectrometry
Accuracy and precision of isotope ratio analysis in single particles improved using ICP-TOF-MS with collision cell technology.
Paper
Determination of the uptake of lanthanide doped-carbon dots by human cells using single cell ICP-ToF-MS
A multi-modal metrological approach for the quantification of lanthanide doped carbon dots (Eu and Yb) uptaken by HeLa cells using sc-ICP-ToF-MS.
Paper
TOFHunter—unlocking rapid untargeted screening of inductively coupled plasma–time-of-flight–mass spectrometry data
This study provides an overview of a newly developed program written in Python, TOFHunter, which permits the rapid and untargeted screening of inductively coupled plasma (ICP)-time-of-flight (TOF)-mass spectrometry (MS) datasets.
Paper
Challenges in measuring nanoparticles and microparticles by single particle ICP-QMS and ICP-TOFMS: size-dependent transport efficiency and limited linear dynamic range
The transport efficiency of microparticles larger than ∼700 nm decreases with size. While SiO2 particles as large as 5 µm are completely vaporized in the ICP, the ion detection system limited linear dynamic range will often require signal reduction.
Paper
SPCal – an open source, easy-to-use processing platform for ICP-TOFMS-based single event data
SPCal is a comprehensive data processing platform for single event ICP-MS data. It supports the analysis of both quadrupole and TOF data sets. Various tools (e.g., non-target screening, compositional and conditional analysis) are implemented.
Paper
Machine learning analysis to classify nanoparticles from noisy spICP-TOFMS data
A two-stage semi-supervised machine learning approach was developed as a robust method to classify cerium-rich engineered, incidental, and natural nanoparticles measured by spICP-TOFMS.
Nanoparticle identification using single particle ICP-ToF-MS acquisition coupled to cluster analysis. From engineered to natural nanoparticles
Characterization and identification of multielement nanoparticles thanks to the use of a spICP-ToF-MS coupled to hierarchical agglomerative clustering (HAC).
Machine learning: our future spotlight into single-particle ICP-ToF-MS analysis
Using the multi-element capabilities of single-particle ICP-ToF-MS in combination with a laser ablation and machine learning algorithms, environmentally relevant road runoff samples were characterized.
Technical Note
Two-stage semi-supervised machine learning for classification of Ti-rich nanoparticles and microparticles measured by spICP-TOFMS
An application of two-stage SSML model to classify individual Ti-containing particles via spICP-TOFMS analysis. With two-stage SSML, we demonstrate low false-positive rates (≤5%) and moderate particle recoveries for all measured particle types.
Technical Note
Introducing “time-of-flight single particle investigator” (TOF-SPI): a tool for quantitative spICP-TOFMS data analysis
TOF-SPI is software for accurate, robust, and high-throughput analysis of single-particle ICP-TOFMS data.
About this collection
This collection consists of recently published and invited contributions that highlight strategies to maximise information extraction from multidimensional dataset generated from ICP-ToF-MS. The collection is Guest Edited by Björn Meermann (BAM, Germany), Lukas Schlatt (Nu Instruments Ltd, UK) and Lyndsey Hendriks (University of Vienna, Austria). The collection is now open to new submissions and new articles will be added as they are published.