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Luxury red painted sports car © adel-chronicles-stock.adobe.com

A forensic case study using FT-IR, portable Raman spectroscopy, and SEM-EDS to differentiate three-layer automotive coatings from a hit-and-run accident, demonstrating that combining complementary spectroscopic and elemental techniques improves the accuracy of paint evidence identification.

A study using fiber laser induced breakdown spectroscopy (FL-LIBS) to evaluate how pulse width and repetition rate affect the quantitative analysis of elements in aluminum alloys, reporting improved detection sensitivity and limit of detection at high repetition rate.

Spectroscopy Top 10 DOI Articles of the Month (July 2026)

Spectroscopy Top 10 Articles of the Month (July 2026)

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The following articles are the most accessed digital object identifier (DOI) manuscripts for Spectroscopy and LCGC International during the month of July 2026. Nine articles are ranked here by DOI page views; a tenth entry in the July report (135 views) was recorded against the bare journal-level DOI rather than an individual article and is therefore not attributable to a single manuscript.

Welcome to “Analytically Speaking,” the podcast from LCGC International and Spectroscopy. Here in Episode #47, podcast host Dr. Jerry Workman speaks with Dr. Thomas Mayerhöfer from the Leibniz Institute of Photonic Technology (Leibniz IPHT) in Jena, Germany, and Friedrich Schiller University Jena, about “the other half” of the Beer–Lambert law: dispersion theory, the concentration law of the refractive index, and refractive-index and complex-valued chemometrics. Dr. Mayerhöfer, who first joined the podcast for Episode #29 on the history and theory of infrared spectroscopy, returns to explain how Beer’s law falls out of dispersion theory as a limiting case, why the refractive index obeys a concentration law of its own that was mainstream physical chemistry before about 1920 (and helped confirm the Kekulé structure of benzene), and how new refractive-index and complex-valued chemometric methods — in combination with PLS — can outperform conventional absorbance-based calibration by up to an order of magnitude.