Spectroscopy’s Editorial Advisory Board is a group of distinguished individuals assembled to help the publication fulfill its editorial mission to promote the effective use of spectroscopic technology as a practical research and measurement tool. With recognized expertise in a wide range of technique and application areas, board members perform a range of functions, such as reviewing manuscripts, suggesting authors and topics for coverage, and providing the editor with general direction and feedback. We are indebted to these scientists for their contributions to the publication and to the spectroscopy community as a whole.
Fran Adar – Horiba Scientific
Russ Algar – University of British Columbia
L. Robert Baker – The Ohio State University
Matthew J. Baker – University of Strathclyde
Ramon M. Barnes – University of Massachusetts
Matthieu Baudelet – University of Central Florida
Rohit Bhargava – University of Illinois at Urbana-Champaign
Karl S. Booksh – University of Delaware
Michael S. Bradley – Thermo Fisher Scientific
Deborah Bradshaw – Consultant
George Chan – Lawrence Berkeley National Laboratory
John Coates – Coates Consulting LLC
John Cottle – University of California Santa Barbara
Paul J. Gemperline – East Carolina University
Dominic Hare – University of Melbourne
David Lankin – University of Illinois at Chicago, College of Pharmacy
Barbara S. Larsen – Larsen Scientific Consulting
Barry K. Lavine – Oklahoma State University
Igor K. Lednev – University at Albany, State University of New York
Bernhard Lendl – Vienna University of Technology (TU Wien)
Ian R. Lewis – Kaiser Optical Systems
Howard Mark – Mark Electronics
R.D. McDowall – McDowall Consulting
Gary McGeorge – Bristol-Myers Squibb
Francis M. Mirabella Jr. – Mirabella Practical Consulting Solutions, Inc.
Ellen V. Miseo – Consultant
Michael L. Myrick – University of South Carolina
John W. Olesik – The Ohio State University
Yukihiro Ozaki – Kwansei Gakuin University
Steven Ray – State University of New York at Buffalo
Andreas Riedo – University of Bern
Jim Rydzak – Specere Consulting
Jacob T. Shelley – Rensselaer Polytechnic Institute
Barry Wise – Eigenvector Research Inc.
Jerome Workman Jr. – Biotechnology Business Associates
Lu Yang – National Research Council Canada
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Diffuse Reflectance Spectroscopy to Advance Tree-Level NSC Analysis
November 28th 2024Researchers have developed a novel method combining near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy with advanced data fusion techniques to improve the accuracy of non-structural carbohydrate estimation in diverse tree tissues, advancing carbon cycle research.
Polymer Matrices: Optimization for Pre-Analytical Workflow
November 27th 2024Learn about the challenges of preparing polymer samples for elemental analysis and how advanced microwave digestion systems, particularly Single Reaction Chamber (SRC) technology, optimize this process for better accuracy, efficiency, and safety.
Modernizing Fishmeal Processing: Cutting-Edge NIR Technology Enhances Quality Control
November 26th 2024Researchers from the University of Iceland and Matis Food and Biotech R&D in Reykjavík have unveiled an innovative study leveraging near-infrared (NIR) spectroscopy for real-time monitoring of fishmeal and oil processing. This advanced method promises to optimize product quality and streamline production, particularly in lipid composition and protein concentration—key markers for high-value fishmeal products.