Book Review Review of Chemometrics: Data Analysis for the Laboratory and Chemical Plant, by Richard Brereton (Wiley, 2003) [PDF]

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.

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.

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.

Atomic spectroscopy has quietly gone from counting elements in bulk to counting single nanoparticles, imaging tissue at the micrometer scale, and reading Martian rocks from several meters away. The instruments got smaller, the software got smarter, and the questions they can now answer got a lot more interesting.

UV–vis absorption spectroscopy, one of analytical chemistry's oldest and most accessible techniques, remains foundational to cutting-edge science, underpinning the Nobel Prize-winning discovery and synthesis of quantum dots and continuing to evolve through ultralow stray-light optics, chip-scale sensors, and AI-integrated process analyzers.

The following articles are the most accessed digital object identifier (DOI) manuscripts for Spectroscopy and LCGC International during the month of September 2026. Nine articles are individually ranked here by DOI page views; the third-highest entry (186 views) was recorded against the bare journal-level DOI rather than an individual article and is therefore not attributable to a single manuscript.

Near-infrared (NIR) spectroscopy, built on the weak overtone and combination-band absorptions first exploited commercially in the 1970s, is now being reshaped by chip-scale MEMS sensors, rapid field calibration methods, and increasingly capable chemometric and machine-learning models.