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.

Jürgen Popp, winner of this year’s Ellis R. Lippincott Award, discusses the regulatory, cost, and workflow hurdles of moving Raman spectroscopy into hospitals.

This column shows that a Raman plate reader paired with partial least squares regression can simultaneously quantify glucose, fructose, sucrose, and ethanol in yeast fermentation samples, using turbidity-matched calibration standards to correct for yeast-induced turbidity, and offers a rapid, label-free, high-throughput method for tracking sugar consumption and ethanol production in strain screening, media optimization, and process development.

This column, the second installment on highly substituted benzene rings, shows that tri- and tetra-substituted substitution patterns can be distinguished by whether the ring bending peak is present and by the position of the in-phase aryl C-H wagging peak, which shifts according to how many adjacent hydrogens the ring carries.

Mammograms can find breast microcalcifications but can’t tell whether they are likely benign or malignant.

In a SciX interview, Marc Porter covered a lot of ground, from a student-driven pivot into immunoassays to a baseball analogy for Stokes and anti-Stokes scattering, and shares the open questions he is still chasing.

Microspectroscopy, the marriage of spectroscopic chemical identification with microscopic spatial resolution, has advanced from Perkin-Elmer's first commercial infrared microspectrometer in 1953 to today's nanoscale AFM-IR probes, synchrotron-brightness infrared beamlines, and compact hyperspectral tissue imaging devices being developed for AI-assisted cancer detection.