Efficient detection of specific pharmaceutical components in compound medications based on Raman spectroscopy
Year: 2024
Type: article
Abstract: The application of Raman detection technology in drug component analysis is becoming increasingly widespread; however, the complexity of many pharmaceutical formulations poses significant challenges for component analysis. This study proposes an efficient method for detecting specific components in composite medications. Initially, Raman spectroscopy is employed to analyze the target components without sample preparation, thereby conserving detection time. The study also addresses noise and fluorescence interferences that arise during the detection process. The airPLS algorithm is utilized to mitigate noise interference, while a novel approach is proposed that combines the airPLS algorithm with the interpolation peak-valley method to eliminate fluorescence interference from the spectra. Furthermore, the method integrates Density Functional Theory (DFT) with experimental Raman spectral analysis to examine the components of composite medications. The experimental results demonstrate that this approach reduces detection time, resolves both types of interference, and accurately identifies the target components, thereby enhancing the detection success rate.
Source: Optics Communications
Institution: Guangdong University of Technology
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,320
Award: G5559003905
OpenAlex ID: W4405900599