A recent study identified 170 nickel autoionization states using resonance ionization mass spectrometry, significantly advancing the spectral database critical for laser isotope separation and atomic spectroscopy. Read more:

Researchers from Nanjing University of Information Science & Technology have introduced a breakthrough AI-enhanced multimodal strategy for real-time detection of polyamide microplastics contaminated with heavy metals. Read more:

Researchers from the University of Copenhagen (Denmark) are using chromatography and spectroscopy combined to help predict wine ratings. Read more:

A new review article highlights the role Fourier transform infrared (FT-IR) spectroscopy plays in characterizing nanomaterials and polymers. Read more:

Molecular Spectroscopy Inside and Outside of the Lab . Discover new technologies and applications for vibrational spectroscopy, such as laboratory, process, and field use of spectroscopic instruments. Register now:

Raman spectroscopy can provide biochemical fingerprints that can distinguish between healthy and cancerous states with high specificity. Below is a compilation of articles that explore the role of Raman in cancer research. Read more:

A new comparative study shows that scientific CMOS (sCMOS) cameras could rival traditional CCD detectors in certain Raman CARS spectroscopy applications, offering faster readout and dynamic range despite slightly higher noise levels. Read more:

DOGE-related federal funding cuts have sharply reduced salaries, lab budgets, and graduate support in academia. This article addresses these issues for the analytical chemistry community. Read more:

A recent study highlights how combining Raman spectroscopy with machine learning enables rapid, non-destructive, and highly accurate analysis of fruit quality, offering transformative potential for food safety and agricultural diagnostics. Read more:

Under Pressure: Optimizing Sample Preparation for Accurate ICP Analysis. Learn to optimize sample preparation for accurate results, avoid analyte loss, and meet regulatory standards with confidence. Register now:

Top articles published this week include an interview series with Robert Ewing of the Pacific Northwest National Laboratory, a news article on using IR cameras to see invisible methane leaks, and more. Read more:

Part I of our conversation with Patrick Ewing focused on the core technology behind the VaporID system. In Part II, Ewing reviews the results of the Nogales border test, where the VaporID system was field tested. Read more:

Researchers at Heilongjiang University have developed an accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety. Read more:

In the first part of this three-part interview, Robert Ewing discusses the core technology behind the VaporID system. Watch the interview:

Molecular Spectroscopy Inside and Outside of the Lab . Discover new technologies and applications for vibrational spectroscopy, such as laboratory, process, and field use of spectroscopic instruments. Register now:

Researchers from Jiangsu University and Jimei University developed an advanced FT-NIR-based method for food safety monitoring, achieving over 97% accuracy in identifying multiple oil-based contaminants in peanut oil. Read more:

Researchers from institutions in Brazil harness near-infrared spectroscopy and machine learning to determine cocoa content with precision. Read more:

Under Pressure: Optimizing Sample Preparation for Accurate ICP Analysis. Learn to optimize sample preparation for accurate results, avoid analyte loss, and meet regulatory standards with confidence. Register now:

Researchers at Xi’an Jiaotong University have demonstrated that ATR-FTIR spectroscopy, combined with histological analysis and machine learning, can accurately distinguish between drowning and strangulation in forensic cases. Read more:

A new study published in Geoderma demonstrates that combining soil spectroscopy with radar-derived vegetation indices and environmental data significantly improves the accuracy of soil organic carbon predictions in Brazil’s semi-arid regions. Read more: