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.

Researchers at Oregon State University explore how machine learning, optical sensors, and robotics are transforming food quality assessment and processing, improving efficiency and reducing waste.

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.

Given the importance of this nomenclature in guiding authors and reviewers, we invite members of the spectroscopy community to provide feedback, suggest updates, or participate in future revisions.

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.

Top articles published this week include a video interview on the role of near-infrared (NIR) spectroscopy in food and bioanalysis, a recap of an important session at Pittcon, and a dynamic video that summarizes the highlights of the American Academy of Forensic Sciences (AAFS) Conference.

A research team from Nanjing University of Finance and Economics has developed a new analytical model using fluorescence spectroscopy and neural networks to improve the detection of aflatoxin B1 (AFB1) in vegetable oils. The model effectively restores AFB1’s intrinsic fluorescence by accounting for absorption and scattering interferences from oil matrices, enhancing the accuracy and efficiency for food safety testing.

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.

A research team from Jiangsu University has developed a Raman spectroscopy-based method to detect aflatoxin B1 (AFB1) in peanuts with improved accuracy and efficiency. By employing a two-step hybrid strategy integrating backward interval partial least squares (BiPLS) and variable combination population analysis (VCPA), the new model significantly enhances the precision of AFB1 detection, providing a more reliable approach for food safety monitoring.