Monitoring API Drying Operations with NIR (PDF)

Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.

An interview with Charles Wilkins, the winner of the 2013 American Chemical Society Division of Analytical Chemistry Award in Chemical Instrumentation, sponsored by the Dow Chemical Company.

As part of “The Future of Forensic Analysis” content series, Spectroscopy sat down with Glen P. Jackson of West Virginia University to talk about the historical development of mass spectrometry in forensic analysis.

Despite its widespread adoption in food quality analysis, near-infrared (NIR) spectroscopy lags behind in regulatory recognition. A study led by researchers from Italy and Spain highlights the disparity between its scientific applications and official methods, urging standardized regulations to fully leverage NIR's sustainability benefits.

Researchers in China have developed a novel workflow for near-infrared reflectance spectroscopy (NIRS or NIR) that enhances the detection of low-level petroleum hydrocarbon pollution in soils, revealing new diagnostic features and significantly improving sensitivity for environmental monitoring.

Microplastics (MPs) and nanoplastics (NPs) are emerging contaminants requiring robust analytical techniques for identification and quantification in diverse environmental and biological matrices. This review highlights various spectroscopy methods, such as Raman, FT-IR, NIR, ICP-MS, Fluorescence, X-ray, and NMR detailing their methodologies, sample handling, and applications for characterizing MPs and NPs.