Raman spectroscopy has been utilized in the pharmaceutical community for years. Raman works best for raw material identification, polymorphic studies and high throughput screening. However, many active ingredients exhibit fluorescence precluding the use of Raman. A new hand-held Raman spectrometer is now available for users to analyze samples utilizing new patented fluorescence mitigation methods. This new spectrometer has a wide spectra range, high spectral quality for optimizing the analysis, resulting in virtual elimination of false positive/false negative test results.
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Rapid Sweetener Detection Achieved Through Raman Spectroscopy and Machine Learning
July 10th 2025Researchers at Heilongjiang University have developed a rapid and 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.