Spectroscopy Staff

June 02, 2023

Machine learning and synchrotron radiation-based micro X-ray fluorescence imaging show promise for early cancer diagnostics by identifying trace biometals as potential cancer biomarkers. The research demonstrates the feasibility of using machine learning algorithms to analyze the spatial distribution of biometals and classify cancer pathogenesis stages, offering potential advancements in non-invasive cancer detection.

June 02, 2023

New research has demonstrated a two-stage machine learning strategy to overcome bias in spICP-TOF-MS data and improve the classification of nanoparticles. The approach achieves high accuracy in identifying engineered, incidental, and natural nanoparticle types, providing a robust and efficient method for nanoparticle classification in complex samples.

June 02, 2023

Advanced spectroscopic techniques reveal strong spin-phonon coupling in hexagonal lutetium manganese(III) oxide, providing valuable insights into its magnetoelectric properties. The study's findings pave the way for further exploration and utilization of multiferroic materials in electronic and magnetic device applications.

June 01, 2023

A theoretical study explores the excited state behavior of triazole pyrimidine group fluorophores, revealing insights into their fluorescence mechanisms and the absence of excited state intramolecular proton transfer (ESIPT). The findings contribute to the understanding and potential applications of these fluorophores in various scientific disciplines.

June 01, 2023

New approach using polarization spectrum fusion enhances the accuracy of laser-induced breakdown spectroscopy for coal analysis, providing improved predictions of ash content, volatile content, and calorific values.

May 31, 2023

Laser-induced XUV spectroscopy (LIXS) emerges as a promising technique for high-precision analysis in laser-induced breakdown spectroscopy (LIBS), offering improved limits of detection, precision, and the ability to detect trace heterogeneities in materials. By capturing stable plasma emission in the extreme ultraviolet range, LIXS demonstrates its potential for detecting light elements and halogens with a high signal-to-noise ratio, providing researchers with a valuable tool for advanced material analysis.

May 31, 2023

The research highlights the significance of tissue preparation methods and demonstrates the feasibility of accurate classification, providing valuable insights into the biomolecular composition of ovarian cancer tissues.

May 31, 2023

This study addresses crucial factors often overlooked in the literature and provides guidelines for improving the accuracy and interpretation of temperature measurements in plasma diagnostics.

May 30, 2023

A new publication explores the concept of secondary model-based examination of model-free analysis results in chemical data, revealing hidden insights. His research highlights the significance of integrating quantitative model-based evaluations to enhance data interpretation and extract valuable information.

May 30, 2023

Researchers from Jan Dlugosz University in Poland employ spectroscopic techniques to characterize calcium phosphate precipitation under conditions mimicking the human eye. Their findings shed light on the mechanisms and structural features of these precipitates, contributing to a better understanding of calcification in intraocular lenses.