A recent study published in Advanced Photonics looks at three-dimensional (3D) imaging of cells and tissue using phase-modulated stimulated Raman scattering tomography (PM-SRST).

The enterprise laboratory software works with more than 1,500 customers in a variety of industries including pharmaceutical and consumer packaged goods.

Yan’an University researchers publish findings in Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy about three new luminescent coordination polymers that could be used in environmental protection efforts.

A new study presents how the isoquinoline core (IQ) could be used to better detect mercury ions in the environment and help safeguard human health.

Nano-X received clearance from the U.S. Food and Drug Administration for its HealthFLD artificial intelligence (AI) software, which is designed to perform automated qualitative and quantitative analysis of liver attenuation from CT scans.

The interaction between surface-active compounds (SACs) and ciprofloxacin was explored in this study to further understand how variations in alkyl chain lengths of SACs impact the binding activity of ciprofloxacin.

The Vanderbilt chemistry professor was an expert in mass spectrometry and ion mobility studies on synthetic polymers.

A new study reveals the potential of a newly designed silicon-rhodamine-based photosensitizer to be used in photodynamic cancer treatment.

A complex fluorescence method utilizing the Sn(II)-salicylfluorescein (SAF)-cetyltrimethylammonium bromide (CTMAB) system demonstrated effective detection of Sn(II) with a linear relationship between its concentration and fluorescence intensity, along with successful application in various sample matrices with high recovery rates.

In this peer-reviewed article, the research team presents a kinetic fluorescence method suitable for the determination of trace Ni(II) in water samples.

The results in this study indicate that NIR spectroscopy is a potentially promising approach for the rapid identification of different harvest times of Cabernet Sauvignon grapes, and the proposed technique is helpful for the prediction of ripened and over-ripened Cabernet Sauvignon grapes during the harvest time.

Welcome to our Advancing Agriculture for Future Generations content series! Begin your exploration by checking out a compilation of our articles that spotlight how spectroscopy is revolutionizing the agriculture industry.

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.

We preview what readers could expect from "Advancing Agriculture for Future Generations," when it launches on February 1st.

We preview what readers can expect from the upcoming "Advancing Agriculture for Future Generations," content series, which is set to launch on February 1st.

In this edition of “Inside the Laboratory,” John Cottle, PhD, a professor of geology at the University of California, Santa Barbara, and a member of Spectroscopy’s Editorial Advisory Board, discusses his group’s most recent work using “laser ablation split steam” analysis to measure elemental concentrations and isotopic ratios in rocks and minerals.

This year’s conference took place in Tucson, Arizona and focused on the latest trends in atomic spectroscopy and more.

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

Spectroscopy spoke with researchers from the Columbia Climate School about how they are using stimulated Raman scattering microscopy to test for nanoplastics in water bottles.

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).

While much is known about arsenic levels in marine fish, not as much research has been done on their freshwater counterparts.

Jörg Feldmann, a professor at the University of Graz, spoke about his team’s research using non-target analysis to analyze per- and polyfluorinated substances (PFAS).

Scientists from the University of Calgary and the Mayo Clinic seeking ways to better understand metal processing in children with Autism.

At the Winter Conference on Plasma Spectrochemistry, Robert L. Jones, who recently retired from the Centers for Disease Control and Prevention (CDC), discussed his career at the CDC, and how his work with inductively coupled plasma–mass spectrometry (ICP-MS) assisted in addressing pivotal public health crises.