Eduardo Bolea-Fernandez
Eduardo Bolea-Fernandez will receive the Young Investigator Award in Plasma Spectrochemistry on Tuesday, January 18 at the Winter Conference on Plasma Spectrochemistry in Tuscon, Arizona. Bolea-Fernandez received his bachelor’s and master’s degrees from University of Zaragoza (Spain) and his PhD at Ghent University (Belgium) in 2017. He is a postdoctoral researcher in the Atomic and Mass Spectrometry (A&MS) research unit at Ghent University led by Prof. Frank Vanhaecke.
Bolea-Fernandez’s graduate work focused on the development of effective methodologies using the new ICP-MS/MS technology. He won the IUPAC-Solvay International Award for Young Chemists. Recently, he has focused on single-event ICP-MS for studying engineered nanoparticles, single cells, and microplastics. His publications include “Tracing Mercury Pollution along the Norwegian Coast via Elemental, Speciation, and Isotopic Analysis of Liver and Muscle Tissue of Deep-Water Marine Fish (Brosme brosme),” “On the effect of using collision/reaction cell (CRC) technology in single-particle ICP-mass spectrometry (SP-ICP-MS),” “Laser ablation-tandem ICP-mass spectrometry (LA-ICP-MS/MS) imaging of iron oxide nanoparticles in Ca-rich gelatin microspheres,” “Direct lead isotopic analysis of bioethanol by means of multi-collector ICP-mass spectrometry with a total consumption sample introduction system,” “Characterization of SiO2 nanoparticles by single particle-inductively coupled plasma-tandem mass spectrometry (SP-ICP-MS/MS),” and many others.
This award has been presented biennially since 2016. Past winners are:
The award is sponsored by Thermo Fisher Scientific, but winners are chosen by an independent scientific committee. The winner is awarded a sum of $5,000 USD, travel support to the conference, and meeting registration. More information about the awards is available on the Thermo Fisher Scientific website.
AI and Dual-Sensor Spectroscopy Supercharge Antibiotic Fermentation
June 30th 2025Researchers from Chinese universities have developed an AI-powered platform that combines near-infrared (NIR) and Raman spectroscopy for real-time monitoring and control of antibiotic production, boosting efficiency by over 30%.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.