Latest Content

A new review article explores how integrating artificial intelligence (AI) with established analytical techniques such as spectroscopy, chromatography, mass spectrometry (MS), and sensors is significantly improving the efficiency, accuracy, and scope of food chemistry research and food quality assessment.

In this article, we look at the five major reasons why San Antonio is set to be a perfect host city for Pittcon this year.

Over the past two years, near infrared spectroscopy (NIRS) and related NIR techniques have seen rapid adoption in biomedical research. These developments span non invasive diagnostics, functional monitoring, machine learning integration, point of care probes, and applications in complex clinical settings such as liver fibrosis, viral detection, neonatal care, brain injury, and neurodegenerative disorders. This article synthesizes 10 key publications, highlighting trends, methodologies, and clinical potential.

A recent study shows that handheld near-infrared (NIR) spectroscopy combined with artificial neural networks can rapidly and non-destructively distinguish human from animal bones with high accuracy, offering a practical new tool for on-site forensic investigations.

A recent study demonstrated that combining laser-induced breakdown spectroscopy (LIBS) with machine learning (ML) can accurately identify gunshot residue from nontoxic ammunition and reliably distinguish shooters from non-shooters despite the absence of traditional elemental markers.

Over the past three to four years, Fourier Transform Infrared (FT-IR) spectroscopy has emerged as one of the most rapidly expanding vibrational techniques in biomedical research. Driven by advances in attenuated total reflectance (ATR), live-cell measurements, chemometrics, and machine learning (ML), FT-IR has moved beyond descriptive biochemical profiling toward predictive diagnostics and translational clinical science. This article highlights and critically summarizes the top 10 most influential peer-reviewed articles published recently on FT-IR applications in tissues, cells, hair, blood, saliva, urine, and exercise physiology, emphasizing analytical innovation, clinical relevance, and future impact.

The 12th Nordic Conference on Plasma Spectrochemistry and Ionization Principles in Mass Spectrometry will take place from June 14–18, 2026, in Loen, Norway. We preview the conference here.

Discover insights from Tom Spudich on forensic science advancements and challenges as AAFS 2026 approaches in New Orleans.

In Part III of our conversation with David Clases, we discuss how optical trapping better enables polymer identification via Raman spectroscopy, and where ICP-MS research is heading in the future.

In this interview previewing the American Academy of Forensic Sciences (AAFS 2026), Conference, Spectroscopy sat down with James Cizdziel of the University of Mississippi to discuss the state of forensic analysis.

In the past few years, Raman spectroscopy and its technological modifications—such as surface-enhanced Raman spectroscopy (SERS), coherent Raman scattering (CRS), and multimodal platforms—have transitioned from proof-of-concept demonstrations to impactful tools in biomedical research. These advances span therapeutic monitoring, chemical biology imaging, deep-tissue diagnostics, precision oncology, and multimodal analytics. This article synthesizes the most influential reviews in these areas, highlighting emerging trends, limitations, and future directions.

In an exclusive interview with Spectroscopy, John Margeson, a Product Manager at Thermo Fisher Scientific in the company’s Tewksbury headquarters, discusses the current state of handheld X-ray fluorescence (XRF) instrumentation.

Part II of our conversation with David Clases focused on his proof-of-concept analysis of microplastic and TiO₂ nanoparticles, and the new insights that emerged from simultaneously accessing size, molecular identity, and elemental composition at the single-particle level.