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© 2023 MJH Life Sciences and Spectroscopy Online. All rights reserved.
© 2023 MJH Life Sciences™ and Spectroscopy Online. All rights reserved.
An Interview with Alexandra Deal
A Joint LCGC & Spectroscopy Content Series
An Interview with Felipe Bachion de Santana
An Interview with Monica Arienzo
November 29, 2023
Scientists from Moscow, Russia studied the dynamics of lithium plasma under laser-induced breakdown spectroscopy using a custom system made using 3DLINE code.
Researchers from Technische Universität Dresden, reveal new insights into protonated mono and polyamines' behavior by determining pKa values using Fourier transform infrared titration, providing valuable data for chemical analysis.
November 28, 2023
Scientists in Ireland recently tested the effectiveness of different machine learning (ML) methods for measuring contamination levels on wind turbine blades.
Researchers from Beihang University in Beijing, China, introduce a dynamic multivariate outlier detection algorithm, DM-SRD, in the journal Applied Spectroscopy, significantly improving the accuracy of real-time monitoring for surface water contamination by addressing challenges posed by hydrological fluctuations.
November 27, 2023
Scientists faced challenges when using XRF on artifacts that contain many layers.
In a new study, a group of researchers explored the performance of multi-hole collimators with varying geometries and material compositions in a full-field XRF spectrometer based on the 2D-THCOBRA gas detector.
New research on fuel thermal conversion shows the potential of laser technology in real-time monitoring, revolutionizing efficiency, and understanding energy conversion processes.
November 24, 2023
In a recent study, quadrupole mass spectrometry (QMS) was used to test the amount of deuterium atoms from aluminum layers.
November 23, 2023
High-resolution magnetic angle spinning nuclear magnetic resonance (HRMAS NMR) spectroscopy in particular can be applied to nonconventional solvents, helping to obtain information about protein crystal structures while also adhering to green analytical chemistry tenets.
A novel automated method for spectral background estimation in laser spectroscopy promises accuracy and minimal human intervention for quantitative analysis.