Vacuum level is a key state variable for vacuum interrupters because the residual gas pressure inside the chamber directly affects dielectric recovery, arc extinction and the risk of reignition or...
We developed a new LA-ICP-MS/MS method for in situ Lu–Hf geochronology of euxenite-(Y).
Physically informed plasma image-spectrum fusion via MLP enhances LIBS total iron prediction ( R 2 : 0.991–0.996) and reduces R 2 fluctuation across six preprocessing methods from 0.0344 to 0.0015.
LIBS is emerging as a powerful technique for phosphorus analysis in agricultural, environmental and industrial applications. This review critically discusses recent advances, current limitations and future strategies for robust quantitative analysis.
A semi-supervised SPSEL method is proposed for LIBS heavy metal multi-element classification. It evolves pseudolabels and retains compositional structure, boosting unlabeled mixed spectra recognition with few labels.
Correction for ‘Laser-induced breakdown spectroscopy for cancer diagnosis and intraoperative feedback’ by Yikang Hou et al. , J. Anal. At. Spectrom. , 2026, https://doi.org/10.1039/d6ja00131a.
Rapid and reliable discrimination of iron ore types is important for ore trading, metallurgical blending and quality control. Laser-induced breakdown spectroscopy (LIBS) offers fast multi-element analysis with minimal sample pretreatment,...
As a rapid spectroscopic analysis technique, laser-induced breakdown spectroscopy (LIBS) plays a vital role in the quantitative detection of heavy metal elements in soil. However, due to matrix effect and...
In this work, a proof of concept is provided that shows the potential for automating total mercury and mercury speciation analysis in whole blood.
Single-column Zr separation with TOPO resin (rinsed/eluted with 3 M HNO 3 /1 M HCl and 3 M HNO 3 + 0.1 M HF) and MC-ICP-MS with Sr normalization (C-SSBIN) yields ±0.061‰ (2SD) for geological reference.
This heterogeneous matrix stability enhancement method mitigates inconsistent optimization of experimental parameters induced by matrix effects.
GOCAM enables multi-elemental mapping in a fraction of a second by spatial encoding, wavelength dispersion, and compressed sensing reconstruction.
A simple analytical strategy for boron isotopic abundance determination is proposed using microwave plasma torch molecular isotope spectrometry (MPT-MIS). Calibration curves are established based on the linear relationship between the...
An integrated analytical workflow combining SP-ICP-MS, electron microscopy, XRD and LA-ICP-MS enables the characterization of ZnO nanoparticles from the raw material to their spatial distribution in lightweight concrete.
SAUVE adaptively selects informative spectral variables, while SA-SVR optimizes model parameters to improve XRF-based quantitative analysis of V, Cr, Mn, Zn, and Pb in soil.
Elemental imaging (EI) techniques, such as laser ablation inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOF-MS), produce spatially resolved elemental data comprising multiple elemental channels and associated spatial coordinates for each pixel. Although EI originated in geochemistry, it is increasingly applied in the life sciences, where between-specimen comparison of individual elements is central to experimental interpretation. However, most existing EI visualization software tools are designed for single specimen datasets, and comparative analysis between specimens is time-intensive and inefficient. In addition, large LA-ICP-TOF-MS datasets, often several gigabytes in size, hinder multi-specimen comparison, and slow data loading and sharing. Here, we describe a new framework for the visualization and comparison of EI data across multiple specimens, implemented using open-source Python tools tailored to biological EI workflows. ScaleBarOn enables scaled, multi-specimen visualization and image generation for individual elements, while Muad'Data supports single-specimen exploration, including multi-element overlays. To reduce computational burden and improve interoperability, multi-channel EI datasets are decomposed into single-element matrix files stored in lightweight, widely supported formats. This enables consistent scaling and efficient comparison of elemental distributions across large biological datasets, supporting reproducible and interpretable analysis.
Plasma state residual correction uses repeated LIBS spectra and plasma descriptors to suppress non-concentration related fluctuations, improving the accuracy and repeatability of Er, Sm, and Yb quantification in polymetallic ores.
Systematic investigation of BaF + response under stand-alone conditions and LC-ICP-MS/MS reveals how PFAS structure, solvent composition, and sample introduction influence response, establishing conditions for reliable PFAS analysis.
Surface roughness is an important physical matrix factor in laser-induced breakdown spectroscopy (LIBS), but its role under immersed conditions remains insufficiently understood.
This study reports the development of a sensitive and selective multifunctional Fe 3 O 4 @SiO 2 –Ag@Ag 2 O nanocomposite for the detection of Sn 2+ and Hg 2+ ions based on localized surface plasmon resonance (LSPR) responses.
