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Automation Reduces Expertise In Spectroscopic Instrumentation
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Automation Reduces Expertise In Spectroscopic Instrumentation
3 days ago
by
James de Haseth

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John Philip Walters (1)

John Philip Walters, Ph.D. (1938-2026), was an analytical chemist who spent 17 years researching the physics of spark-discharge emission spectroscopy at the University of Wisconsin-Madison before moving to St. Olaf College in 1982, where he became best known for pioneering a role-playing undergraduate laboratory model that had students take on professional roles to mirror real analytical-chemistry work. His 1991 three-part series on the approach in Analytical Chemistry earned him the ACS Division of Analytical Chemistry's J. Calvin Giddings Award in 1993, and he continued extending his understand-the-system teaching philosophy into computer-controlled instrumentation well into his later career.

Artist’s conception of a futuristic laser-based instrument ©  MD AL AMIN-chronicles-stock.adobe.com

Raman spectroscopy is shedding its bulky, benchtop reputation as chip-scale spectrometers, tip-enhanced probes, and AI-native detectors push the technique into pockets, production lines, and single molecules. The result is an instrument category being rebuilt from the optics up, faster, smaller, deeper, and smarter than the Raman systems of even five years ago.

Atomic spectroscopy has quietly moved past splitting light and counting ions toward instruments that track a single nanoparticle, fuse a laser pulse with an isotope-ratio mass spectrometer, and correct their own interferences with artificial intelligence in real time. The result is a new class of ICP-MS, LIBS, and X-ray fluorescence (XRF) platforms that are turning what used to be a benchtop-only science into field-ready, self-optimizing analytical intelligence.