Infrared (IR) Spectroscopy

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AI-Powered Spectroscopy in Rapid Food Analysis ©  Lila Patel - stock.adobe.com

A recent study reveals on the challenges and limitations of AI-driven spectroscopy methods for rapid food analysis. Despite the promise of these technologies, issues like small sample sizes, misuse of advanced modeling techniques, and validation problems hinder their effectiveness. The authors suggest guidelines for improving accuracy and reliability in both research and industrial settings.

The road workers' working group updates part of the road with fresh hot asphalt and smoothes it for repair. | Image Credit: © Artem Zakharov - stock.adobe.com

A recent study highlights the critical role of Fourier transform infrared spectroscopy (FT-IR) in the qualitative and quantitative analysis of asphalt materials, focusing on its applications in quality control, material identification, and the analysis of modification and aging mechanisms.