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This interview segment shifts away from the technology that is impacting forensic sciences and instead focuses on a broader issue in the industry.

A study published in the International Journal of Dairy Technology by lead author Mark A. Fenelon and his team at Teagasc Food Research Centre and University College Dublin demonstrates that ATR-FT-IR spectroscopy can effectively monitor heat-induced structural changes in milk proteins and colloidal calcium phosphate, offering valuable insights for optimizing dairy product stability and quality.

In this video segment, Metz discusses advancements in field deployable units, such as miniaturized mass spectrometers and separation devices, which are notable for their size reduction.

In this video clip, Eldridge identifies three main challenges in the forensic science field: funding constraints, effective communication of results, and the implementation of new standards.

In this video clip, Metz discusses his focus on molecular measurement science using mass spectrometry (MS) to study small molecules, emphasizing the challenge of identifying and quantifying unknown compounds.

A recent study explored using surface-enhanced Raman spectroscopy (SERS) to detect β-agonists.

In this video clip, Metz discusses his research in helping to develop advanced MS instrumentation, and how he is applying his work to study diseases.

In this video interview, we speak with Tom Metz of the Pacific Northwest National Laboratory, Heidi Eldridge of George Washington University, and Claire Glynn of the University of New Haven, all of whom attended AAFS this year and delivered important talks that provide insight into the state of the forensic science industry. Metz, Eldridge, and Glynn offer some insights into what it was like to attend AAFS this year and give their thoughts as to what stood out to them throughout the week.

A new study published in the Journal of Dairy Science demonstrates that FT-MIR spectroscopy can effectively authenticate farming practices and dairy systems in Parmigiano Reggiano production but has limited ability to verify animal welfare parameters.

Our full-length interview with Huck covers more than just NIR spectroscopy in food and bio analysis. Spectroscopy sat down with Huck to also discuss current trends going on in spectroscopy, delving into what challenges spectroscopists face today and how they can solve these concerns.

Here, we provide a preview of our upcoming multi-day video series that will focus on recapping the American Academy of Forensic Sciences Conference, as well as documenting the current state of the forensic science industry.

A research team from China has developed a portable LIBS device integrated with machine learning to achieve improved accuracy in rapid, in situ rock classification for geological exploration and petroleum logging.

Research presented at Pittcon 2025 demonstrated new tactics using chemometrics and spectroscopy that could help combat antibiotic resistance.

In this Icons of Spectroscopy column, Executive Editor Jerome Workman Jr. delves into Part II of the Raman Effect, discovered by C. V. Raman, a physicist whose major contributions to vibrational spectroscopy have helped shape the field and advance one of the most important quantum-based spectroscopy tools of recent generations.

In this study, the feasibility of the rapid discrimination of three different geographical origins of purple sweet potato with a hyperspectral imaging (HSI) system was examined.

Top articles published this week include a video interview on the role of near-infrared (NIR) spectroscopy in food and bioanalysis, a recap of the Wallace H. Coulter keynote lecture at Pittcon, and an article about Internet of Things (IoT) sensors.

The conference theme this year focused on collaboration, connection, and cultivation of the next generation of researchers.

At Pittcon, Spectroscopy sat down with Christian Huck of the University of Innsbruck to talk about how NIR and imaging spectroscopy are being used in food and bioanalysis, and where this industry is heading in the future.

Tip-enhanced Raman spectroscopy (TERS) employs localized surface plasmon resonance at the apex of a sharp scanning probe microscopy tip to overcome the diffraction limit inherent in conventional Raman spectroscopy, allowing researchers the ability to access spatial resolutions down to the nanometer scale. This technique has established itself as a powerful tool in nanoscale chemical analysis, delivering previously unachieved spatial resolution with superior molecular sensitivity and chemical specificity.

An effective technique used in the examination of iron atom electronic environments in both biomolecular molecules and whole animal studies, Mössbauer spectroscopy, because of its sensitivity to nuclear hyperfine interactions, yields incredibly accurate data regarding the electronic and magnetic states of nuclei, chemical bonds, and the local electronic environment structure around iron atoms.

Yesterday, at 5:00 pm in Ballroom East, the Wallace H. Coulter Lecture took place, and it was delivered by Cato T. Laurencin, MD, PhD, who is well-known as a scientist and entrepreneur with an extensive career in regenerative engineering. His lecture highlighted the work he and his team has done in this space.

“Atomic Perspectives,” provides tutorials and updates on new analytical atomic spectroscopy techniques in a broad range of applications, including environmental analysis, food and beverage analysis, and space exploration, to name a few. Here, we present a compilation of some of the most popular columns.

In this "Icons of Spectroscopy" column, executive editor Jerome Workman Jr. delves into Part I of the life and work of C. V. Raman, a physicist who has made major contributions to the science of vibrational spectroscopy and created an understanding for one of the most important quantum-based spectroscopy tools in generations.

Researchers from Jiangsu University and Jimei University have developed an AI-powered detection system using near-infrared spectroscopy and a convolutional neural network long short-term memory (CNN-LSTM) model to accurately identify petroleum contamination in edible oils for improving food safety and quality control.