Rapid analysis of Radix Astragali using a portable Raman spectrometer with 1064-nm laser excitation and data fusion with PLS-DA
Flow chart of rapid analysis of Radix Astragali samples. [Display omitted] •Portable Raman spectrometer excited at 1064 nm lower the fluorescence background.•Point-by-point spectra collected from the centre to the margin of the decoction piece.•PCA, PLS-DA using data fusion with different pre-proces...
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Veröffentlicht in: | Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Molecular and biomolecular spectroscopy, 2024-05, Vol.313, p.124087, Article 124087 |
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Sprache: | eng |
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Zusammenfassung: | Flow chart of rapid analysis of Radix Astragali samples.
[Display omitted]
•Portable Raman spectrometer excited at 1064 nm lower the fluorescence background.•Point-by-point spectra collected from the centre to the margin of the decoction piece.•PCA, PLS-DA using data fusion with different pre-processing methods were developed.•Radix Astragali with uneven qualities and various origins were rapidly discriminated.
Radix Astragali is a medicinal herb with various physiological activities. There were high similarities among Radix Astragali samples from different regions owing to similarities in their major chemical compositions. Raman spectroscopy is a non-invasive and non-des- tructive technique that can be used in in-situ analysis of herbal samples. Dispersive Raman scattering, excited at 1064 nm, produced minimal fluorescence background and facilitated easy detection of the weak Raman signal. By moving the portable Raman probe point-by- point from the centre of the Radix Astragali sample to the margin, the spectral fingerprints, composed of dozens of Raman spectra representing the entire Radix Astragali samples, were obtained. Principal component analysis and partial least squares discriminant analysis (PLS-DA) were applied to the Radix Astragali spectral data to compare classification results, leading to efficient discrimination between genuine and counterfeit products. Furthermore, based on the PLS-DA model using data fusion combined with different pre- processing methods, the samples from Shanxi Province were separated from those belonging to other habitats. The as-proposed combination method can effectively improve the recognition rate and accuracy of identification of herbal samples, which can be a valuable tool for the identification of genuine medicinal herbs with uneven qualities and various origins. |
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ISSN: | 1386-1425 1873-3557 |
DOI: | 10.1016/j.saa.2024.124087 |