Raman spectroscopy discriminating method for Lycium barbarum
A technology of Raman spectroscopy and Ningxia wolfberry, which is applied in the field of Raman spectrum identification of Ningxia wolfberry, can solve the problem that it is susceptible to fluorescence background interference, Raman spectrum characteristic peaks have no quantitative indicators, and manual peak-finding identification analysis is not easy for high-throughput and rapid identification To achieve the effects of reducing fluorescence background interference, improving identification procedures, and reliable identification methods
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[0036] Select 10 dried wolfberry samples from Ningxia, 10 dried fruit samples from Qinghai wolfberry, 10 dried fruit samples from Xinjiang wolfberry and 10 dried wolfberry samples from Gansu as the calibration sample set; the above 40 wolfberry samples were frozen in the refrigerator at -18°C for 12 hours and then taken out. Immediately pulverize the sample into powder with a small medicinal material pulverizer for use without sieving.
[0037] Using the inVia Basis confocal micro-Raman spectrometer from Renishaw (UK), the Raman spectra of 10 samples of Lycium barbarum from Ningxia and 30 samples of Lycium barbarum from other origins (Qinghai, Xinjiang, and Gansu) were sequentially collected as Ningxia Lycium barbarum and Lycium barbarum of other origins correction set. Test conditions: laser wavelength 785nm, objective lens 10×, measurement range 300-3000cm -1 , exposure time 10s, laser power 5%. The Raman spectrum of a typical Ningxia wolfberry powder sample is as follows:...
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