Spectroscopy Staff

A recent study from Jeonbuk National University introduces a novel technique for orchard management: tackling intertwined fruit trees' precise segmentation using deep learning models.

Researchers from the University of Szczecin and other Polish institutions have applied the power of machine learning, employing various models, to forecast optimal microbial strains for mitigating drought impacts on crops, marking a leap toward sustainable agriculture to ensure global food security.

Researchers at the University of Kentucky employ non-destructive hyperspectral imaging and machine learning to predict and manage the physicochemical quality attributes of apples during storage, addressing the impact of codling moth infestation and revolutionizing apple quality assurance.

The editors of Spectroscopy are seeking high-quality contributed blogs, technical articles, and peer-reviewed research from analytical scientists around the world.

At the Winter Conference on Plasma Spectrochemistry, a researcher from the University of Minnesota shared how his team is investigating metal speciation using quantitative liquid chromatography–inductively coupled plasma–mass spectrometry.

At the Winter Conference on Plasma Spectrochemistry, Alexander Gundlach-Graham of Iowa State University delivered a talk on how size distributions and measurement statistics impact single-particle inductively coupled plasma time of flight mass spectrometry (ICP-TOFMS).

Oil is an important natural resource that helps power vehicles, to heat homes, and to make products that humans need. This study out of China examines how terahertz spectroscopy can be used to characterize oil shale.

A recent study out of North-Eastern Hill University in India explores a new method that could aid the treatment of Alzheimer’s disease in patients.

A research study out of China explores the use of a new fluorescent sensor for better detection of mesotrione, an herbicide used to control the growth of weeds.

A recent study from Spain used surface-enhanced Raman spectroscopy (SERS) to study cancer cells with methylthioadenosine phosphorylase (MTAP) deletions, shedding new insights into the metabolic interactions inside the tumor microenvironment that could influence cancer aggression.

In a recent study, a team of researchers revisited methoxyacetone and discovered more about its photochemistry and infrared (IR) spectra.

Scientists from Mahaveer Academy of Technology and Science University are investigating the impact of three newly synthesized biologically deep eutectic solvents, derived from amino acids, and choline chloride, on the micellar characteristics of anionic sodium dodecyl sulfate.

In a recent study, a group of scientists analyzed the interaction between perfluorobutanesulfonyl fluoride and bovine serum albumin.

Detecting nitroaromatic compounds is essential to preserve the environment. A recent study out of China saw the development of new conjugated porous polymers (CPPs) that could improve detection of these volatile compounds.

Studying historical ancient artifacts requires the use of a nondestructive technique to analyze the metal surfaces of these objects. This study presents two approaches that improves on existing methods when conducting alloy analysis.

In a recent study, X-ray fluorescence spectrum analysis was conducted to estimate the valance states of platinum.

This experiment employed laser-induced breakdown spectroscopy (LIBS) to enhance the accuracy of depth profiling in plasma-facing materials, paving the way for improved understanding of plasma-wall interactions in nuclear fusion reactors.

Laser-induced breakdown spectroscopy (LIBS) could be used to monitor chloride ingress in concrete structures, which has implications for future infrastructure.

Researchers from Thorlabs Crystalline Solutions, the University of Vienna, and the National Institute of Standards and Technology have achieved a revolutionary breakthrough, publishing in Nature Communications, with mid-infrared supermirrors exhibiting finesse exceeding 400,000, promising unprecedented sensitivity for applications in trace gas sensing and precision spectroscopy.

A truly innovative approach to Raman spectral analysis is introduced in a newly published Applied Spectroscopy paper, utilizing a dynamic neural network modeling to significantly enhance baseline correction accuracy and offering a paradigm shift in spectral preprocessing.

Researchers at Kochi University and RIKEN have unveiled a new method for distinguishing individual polyester fibers in forensic investigations. Published in Spectrochimica Acta Part B: Atomic Spectroscopy, their advanced X-ray analysis refreshes how we unravel the composition of these fibers.

Researchers at Fukuoka University unveil intricate elemental composition and durability properties within PCB powder, revolutionizing electronic waste recycling.

Optical emission spectroscopy (OES) reveals cathode sheath parameters using Stark polarization spectroscopy of neon lines in Grimm-type glow discharge sources (GDSs).

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.

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.

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.

In a recent study, quadrupole mass spectrometry (QMS) was used to test the amount of deuterium atoms from aluminum layers.

A novel automated method for spectral background estimation in laser spectroscopy promises accuracy and minimal human intervention for quantitative analysis.

A new study published in Spectrochimica Acta Part B: Atomic Spectroscopy investigated the effects of heterogeneity, including grain size and mineralogical composition, on micro-beam X-ray fluorescence (XRF) scanning spectroscopy. XRF is a useful tool for environmental analysis, because of its high spatial resolution.