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.

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.

Researchers have developed a portable mid-infrared (IR) spectroscopic method combined with chemometric analysis to rapidly and non-destructively detect aflatoxin contamination in Aspergillus-infected peanuts. This approach offers a field-deployable alternative to traditional wet chemistry methods, with high sensitivity and specificity in identifying toxic metabolites such as aflatoxins.

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.

University of Granada researchers compared different methods and their effectiveness in classifying ink found in historical documents.

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.