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Articles

A multiscale convolutional neural network (MsCNN) was used to screen Raman spectra of the hepatitis B serum, achieving higher classification accuracy compared to traditional machine learning methods.

Multiscale Convolutional Neural Network of Raman Spectra of Human Serum for Hepatitis B Disease Diagnosis

Jerome Workman Jr. serves on the Editorial Advisory Board of Spectroscopy and is currently with Unity Scientific LLC. He is also an adjunct professor at Liberty University and U.S. National University. He can be reached at jworkman04@gsb.columbia.edu.

As forensic analysis continues to advance, such as in the understanding of source identification and analysis of trace quantities of bodily fluids, spectroscopic techniques and machine learning are playing a significant role. Igor K. Lednev, a chemistry professor at the University at Albany, SUNY, in Albany, New York, has been working in this field with his team. The analytical methods currently under investigation include Raman spectroscopy, attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy, and advanced chemometric classification and analysis methods. We recently interviewed him about his work. 

Investigating Forensics Applications of Raman Spectroscopy, ATR FT-IR, and Chemometrics

David Tuschel is a Raman applications manager at Horiba Scientific in Edison, New Jersey, where he works with Fran Adar. David is sharing authorship of the "Molecular Spectroscopy Workbench" column with Fran.

We explain how to characterize barium fluorohalides with Raman spectroscopy.

Raman Spectroscopy and Chemical Bonding of BaFCl, BaFBr, and BaFl

Fran Adar is the Worldwide Raman Applications manager for Horiba Jobin Yvon.

Innovative database search technology can help Raman spectroscopists identify molecular vibrations; here, we show how to use these tools more effectively.

A Simple Introduction to Raman Spectral Identification of Organic Materials

In this study, the nitrophenol isomers, in solid and liquid phases, were analyzed using Raman spectroscopy, laying the groundwork for determining nitrophenol isomers in environmental monitoring with this technique.

Determining Nitrophenol Isomers Using Raman Spectroscopy

Katsumasa Fujita, a professor of applied physics at Osaka University, has been working to improve techniques for imaging biological samples using spontaneous Raman scattering.

Advances in Spontaneous Raman Scattering for Biological and Chemical Imaging in Cells and Tissues

Zac Schultz of The Ohio State University and his team used tip-enhanced Raman spectroscopy (TERS) and surface-enhanced Raman spectroscopy (SERS) with gold nanostars to investigate chemical reactions involved in protein–ligand binding. He recently spoke with Spectroscopy about his findings.

Investigating Protein Receptors and Other Biomolecules Using SERS and TERS

Bhavya Sharma is the winner of the 2021 Emerging Leader in Molecular Spectroscopy Award. We recently interviewed her about her work conducting research to detect active and important biomolecules related to hormone regulation, neurological health, and disease diagnosis.

Exploring Neurochemistry Using Raman Spectroscopy

Roy Goodacre, a professor of biological chemistry at the University of Liverpool in the United Kingdom, first used SERS to achieve whole-organism fingerprinting of bacteria and then explored SERS in a variety of other applications, including within biotechnology, disease diagnostics, quantitative detection, imaging, food security, and more. Goodacre is the 2021 winner of the Charles Mann Award for Applied Raman Spectroscopy. This interview is part of an ongoing series of interviews with the winners of awards that are presented at the annual SciX conference.

Quantitative Analysis Using Surface-enhanced Raman Scattering (SERS): Roy Goodacre, the 2021 winner of the Charles Mann Award for Applied Raman Spectroscopy

Analytical chemists are continually striving to advance techniques to make it possible to observe and measure matter and processes at smaller and smaller scales. Professor Vartkess Ara Apkarian and his team at the University of California, Irvine have made a significant breakthrough in this quest: They have recorded the Raman spectrum of a single azobenzene thiol molecule. The approach, which breaks common tenets about surface-enhanced Raman scattering/spectroscopy (SERS) and tip-enhanced Raman spectroscopy (TERS), involved imaging an isolated azobenzene thiol molecule on an atomically flat gold surface, then picking it up and recording its Raman spectrum using an electrochemically etched silver tip, in an ultrahigh vacuum cryogenic scanning tunneling microscope. For the resulting paper detailing the effort [1], Apkarian and his associates are the 2021 recipients of the William F. Meggers Award, given annually by the Society for Applied Spectroscopy to the authors of the outstanding paper appearing in the journal Applied Spectroscopy. We spoke to Apkarian about this research, and what being awarded this honor means to him and his team. This interview is part of an ongoing series with the winners of awards that are presented at the annual SciX conference. The award will be presented to Apkarian at this fall’s event, which will be held in person in Providence, Rhode Island, September 28–October 1.