Chemometrics in Spectroscopy Comparison of Goodness of Fit Statistics for Linear Regression, Part I (PDF)

A global research team has detailed how smart sensors, artificial intelligence (AI), machine learning, and Internet of Things (IoT) technologies are transforming the detection and management of environmental pollutants. Their comprehensive review highlights how spectroscopy and sensor networks are now key tools in real-time pollution tracking.

Researchers from Jiangsu University and Zhejiang University of Water Resources and Electric Power have developed a transfer learning approach that significantly enhances the accuracy and adaptability of NIR spectroscopy models for detecting mycotoxins in cereals.

A recent study by Southeast University researchers presented a cost-effective, high-accuracy solution for pharmaceutical quality control.

A new study highlights the potential of Raman spectroscopy for distinguishing between bee and wasp venom-based therapies from different manufacturers.

Researchers in China have developed a lightweight deep learning system for rapid, non-destructive analysis of wheat flour composition.

Using LIBS, infrared, and Raman spectroscopic techniques scientists detect quartz and hydrated silica, hinting at past Martian water activity and potential biosignatures