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DNA effectively removes chrysene from contaminated water through intercalation, as confirmed by various analytical methods, offering a potential novel approach for chrysene elimination in water pollution.

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.

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.

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.

Pete Diaczuk of John Jay College of Criminal Justice gave a recollection at EAS 2023 of a case he worked on in Manhattan involving a victim fatally shot, incomplete ballistic evidence, and the wrong gun recovered at the scene.

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.

Under the direction of Editor and Publisher Ian Michael, Spectroscopy Europe and Spectroscopy World have been writing about the latest trends in analytical sciences since 1975.

Duke University researchers, led by Joy Q. Li, revolutionize biomedical diagnostics with a multiplexed SERS-based nanosensor called inverse molecular sentinel (iMS) for micro-RNA detection, employing machine learning, particularly convolutional neural networks (CNN) and non-negative matrix factorization (NMF), to achieve higher accuracy in spectral unmixing, paving the way for more precise and efficient clinical diagnostics.

Researchers at NASA's Johnson Space Center, led by Ryan S. Jakubek, have unveiled a novel calibration method in Applied Spectroscopy that enhances the precision of Raman measurements conducted by the SHERLOC instrument on the Perseverance rover, providing a clearer and more accurate representation of intrinsic Raman spectral bandwidths on Mars.

Is it a Rembrandt? Scientists tackling the toughest problems know the answers are never simple.

A joint content series from LCGC and Spectroscopy will launch in the first quarter of 2024.

At the Eastern Analytical Symposium in Princeton, New Jersey, John McLean shared his thoughts about his career in mass spectrometry.

A recent study reveals insights for precise elemental mapping using laser-induced breakdown spectroscopy (LIBS).

Researchers at the Indian Institute of Technology unveil a sophisticated collisional-radiative model offering insights into laser-produced copper plasma through precise electron impact excitation cross-section calculations.

Award recipient John McLean of Vanderbilt University said hybrid techniques do not exist purely as combinations of letters, slashes, and hyphens—they have been built on the shoulders of decades’ worth of analysis intended to refine and simplify workflow.

Getting your finances in order ensures you can be prepared for the unexpected, said Tarshae Drummond, a lab manager and research technician at Fayetteville State University.

Luis G. Vieira from Universidade do Minho presents a new method in Applied Spectroscopy to address poor contact issues between the sample and the internal reflection element in attenuated total reflection (ATR) spectroscopy, ensuring accurate optical function determination and opening new avenues for precise material analysis

The latest issue of Applied Spectroscopy explores the transformative progress in gas detection technology through photoacoustic spectroscopy (PAS), providing a comprehensive review and guidance for researchers navigating the nuanced landscape of advanced photoacoustic cells.

Researchers at Nanjing University of Science and Technology, led by corresponding have introduced an advancement in surface-enhanced Raman spectroscopy (SERS) with two-dimensional amorphous titanium dioxide/silver (a-TiO2/Ag) nanosheets, demonstrating exceptional sensitivity and repeatability in chemical detection applications.

X-ray emission induced by charged particles, also known as particle-induced X-ray emission (PIXE), is a powerful analytical technique for the elemental and chemical characterization of materials.

NELIBS has gained prominence in various analytical fields, including microscopy, biomedicines, electrochemical and biosensors.

A recent study shows how near infrared (NIR) spectroscopy and X-ray fluorescence (XRF) spectroscopy was integrated to create a new coal calorific value analyzer.

In a recent study, researchers used laser-induced breakdown spectroscopy (LIBS) to examine the complexities of plasma conditions, focusing on the addition of matrix elements.

In a recent study, researchers used ICP-MS to learn new insights into ancient coinage and gold purification techniques are revealed through the analysis of platinum-group elements and gold in silver coins from various ancient civilizations.

In a recent study, researchers introduced several analytical techniques, such as ESI-MS, RP-HPLC, and ICP-MS, to separate and detect various technetium species.

A spectral analysis technique was used to classify soil samples based on their soil organic matter (SOM).