EPA 8015C is a gas chromatographic method used to establish concentrations of a variety of non-halogenated volatile organic compounds, semivolatile organic compounds, and petroleum hydrocarbons. For the purpose of this application, a Clarus® 690 GC was used for the analysis of petroleum hydrocarbons, specifically Diesel Range Organics (DRO).
Garth Simpson of Purdue University outlines plans to survey more ordered molecular assemblies and to apply interface-specific chiral spectroscopy to enzyme reactors, solid-phase synthesis, spin-selective reactions, and, ultimately, a new analytical method.
In this Eastern Analytical Symposium (EAS) interview, Garth Simpson of Purdue University explains how a simple geometric effect at interfaces produced a 4.5-degree rotation in fluorescence emission from a naproxen monolayer.
Spectroscopy's editors gather 143 evergreen articles from 2026, including tutorials, terminology guides, technique reviews, application surveys, peer-reviewed research and the magazine's long-running columns, and organize them by subject so readers can build lasting knowledge one topic at a time.
A Q&A interview from SciX explored a porous-particle Raman platform became an alternative to SERS, and why AI could unlock biochemical meaning in vibrational spectra.
X-ray analytical techniques, spanning X-ray fluorescence (XRF), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS), are becoming faster, more portable, and more energy-efficient, with microbeam XRF spot sizes once exclusive to synchrotrons now available on laboratory benchtops.
Jürgen Popp, winner of this year’s Ellis R. Lippincott Award, discusses the regulatory, cost, and workflow hurdles of moving Raman spectroscopy into hospitals.
A recent conversation with Kevin Wilkinson, a professor of environmental chemistry at the Université de Montréal, sheds light on why no single signature can separate engineered nanoparticles from natural ones.
Top articles include the publication of a new terminology guide focused on data processing, machine learning, artificial intelligence (AI), and chemometrics.