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Earle K. Plyler: Setting the Standard in Infrared SpectroscopyLatest Content

Curated 2026 Evergreen Content from Spectroscopy

Quantitative Raman Spectroscopy and the Unsolved Puzzle of Spectral Interpretation

From Attosecond Pulses to Handheld Analyzers: The Widening Reach of X-Ray Analytical Techniques

The Latest in Surgical Raman Probes, Sepsis Diagnostics, and the Personalized Optical Twin

Why Big Data Is Transforming Environmental Nanoparticle Analysis

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Top articles include the publication of a new terminology guide focused on data processing, machine learning, artificial intelligence (AI), and chemometrics.

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.

How do ions and water interact at the atomic level in nanochannels grafted with polymer brushes using all-atom molecular dynamics simulations? Siddhartha Das of the University of Maryland and his team are working on answering this question.

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.

Laser-induced breakdown spectroscopy (LIBS) is being used in numerous application areas, including environmental monitoring, cultural heritage, and space exploration.

At SciX, Kevin Wilkinson of the Universite de Montreal explains how faster data acquisition and new software have cut analysis time and how a particle’s chemical composition can link arsenic-bearing emissions back to a copper refinery’s processes.

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.

Marc Porter describes how his group’s surface science work led to SERS-based immunoassays, why reproducibility and pre-analytics decide whether a test reaches the clinic, and the questions he still wants to answer.

The 2026 first edition of Spectroscopy's Chemometrics, Data Processing, Machine Learning, and Artificial Intelligence Terminology Guide defines the classical chemometric, statistical, machine learning, AI, and process analytical technology (PAT) terms most likely to be encountered by working spectroscopists, analytical chemists, and process engineers.

Does industry need to get more involved in training the next generation of spectroscopists?

In an interview at SciX, Alessandro De Giacomo discusses nanoparticles as signal enhancers and medical tags, a self-calibrating drone LIBS system, open questions in laser–matter interaction, and why students need a strong foundation in fundamentals.

The New York / New Jersey Section of the Society for Applied Spectroscopy will present its 2026 Gold Medal Award to Richard Crocombe at the Eastern Analytical Symposium on November 17, recognizing two decades of work that helped carry spectroscopy out of the laboratory and into the field.
Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified Huanglongbing-infected Gannan navel orange leaves with an overall accuracy of 98.75%, outperforming LDA, KNN, and SVM models.






















