All of us at Spectroscopy magazine are excited to bring you our second content series, which focuses on the role that spectroscopy has played in advancing archaeological science. This content series spotlights the latest research in this field, recognizing the spectroscopists that are conducting important work in this field to help us understand ancient human civilizations.
Our content series contains 13 original pieces, a couple of which have appeared in previous Spectroscopy print issues. We have two new landing pages for you to explore today. The first one, titled, “A Look Into the Ancient Past,” contains nine original pieces, including two question and answer (Q & A) interviews, conducted by Spectroscopy editors Will Wetzel and Patrick Lavery. This landing page also highlights six recent studies where spectroscopy has played a role in archaeological science, with spectroscopic techniques such as portable X-ray fluorescence (pXRF), Fourier transform infrared (FT-IR), and Raman spectroscopy taking center stage. We also highlight studies that were conducted all over the globe, from Stonehenge to northern Spain to the Middle East.
Our second landing page, titled, “An Inside Look at Ancient Egyptian History,” focuses on studies that were designed to uncover more about Ancient Egypt. This landing page contains four original pieces, including one Q & A interview conducted by our associate editorial director Caroline Hroncich, which examines studying ancient papyrus through non-destructive spectroscopic techniques. This landing page also contains a thorough look at Ancient Egyptian blue pigments used in material culture during the Pharaonic Period, and a couple studies that highlight the use of laser-induced breakdown spectroscopy (LIBS), FT-IR, and Raman spectroscopy in helping elucidate the archaeological record.
To embark on your journey, you can access either landing page below to get started!
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
Machine Learning and Optical Spectroscopy Advance CNS Tumor Diagnostics
July 1st 2025A new review article highlights how researchers in Moscow are integrating machine learning with optical spectroscopy techniques to enhance real-time diagnosis and surgical precision in central nervous system tumor treatment.
New Ecofriendly Spectrophotometric Method Boosts Accuracy in Veterinary Drug Analysis
June 30th 2025A recent study showcases a cost-effective, ecofriendly UV spectrophotometric method enhanced with dimension reduction algorithms to accurately quantify veterinary drugs dexamethasone and prednisolone, offering a sustainable alternative to traditional analysis techniques.