Geographical origin discrimination and polysaccharides quantitative analysis of Radix codonopsis with micro near-infrared spectrometer engine

Abstract

At present, Tradition Chinese Medicine (TCM) industry in China is in the stage from the empirical development to industrial production. Near infrared (NIR) spectroscopy has been widely used in the quality control of TCM's modernization with its characteristics including rapidness, nondestruction, simplicity, economy, and so on. In this study, as one type of a portable micro NIR spectrometer, Micro NIR 1700 was used to establish the qualitative models for identi¯cation of geographical region and authenticity of Radix codonopsis based on discriminant analysis (DA) method. Both of the DA models had better predictive ability with 100% accuracy. In addition, a method for rapid quantitative analysis of polysaccharide in Radix codonopsis was also developed based on Micro NIR 1700 spectrometer with partial least-squares (PLS) algorithm. In the PLS calibration model, the NIR spectra of samples were pretreated with di®erent preprocessing methods and the spectral region was selected with di®erent variable selection methods as well. The performance of the¯nal PLS model was evaluated according to correlation coe±cient of calibration (R c ), correlation coe±cient of prediction (R p ), root mean squared error of cross validation (RMSECV), and root mean squared of prediction (RMSEP). The values of R c , R p , RMSECV, and RMSEP were 0.9775, 0.9602, 2.496, and 2.734 g/mL, respectively. This work demonstrated that micro infrared spectrometer could be more convenient and rapid for quality control of Radix codonopsis, and the presented models would be a useful reference for quality control of other similar raw materials of TCM.

Determination of Total Polysaccharides and Total Flavonoids in Chrysanthemum morifolium Using Near-Infrared Hyperspectral Imaging and Multivariate Analysis

“…Chen et al (2012) used near-infrared spectroscopy to detect the polysaccharides in Ganoderma lucidum and Ganoderma atrum , with an R 2 p over 0.9 [ 23 ]. Wang et al (2018) used near-infrared spectroscopy to determine the polysaccharides in Radix codonopsis , with a correlation coefficient of prediction (Rp) over 0.9 [ 24 ]. These results have indicated the feasibility of using spectral information in the near-infrared region to detect polysaccharides.…”

Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

“…Besides, LDA (38), WT (49), and a newly proposed spectral feature-extraction method based on waveform resolution (SFEWR) (50) were also applied for feature extraction. In addition, many effective wavelengths selection methods were used, including weight coefficients of PCA loadings (51,52) and partial least-squares (PLS) (1,53), successive projections algorithm (SPA) (54,55), genetic algorithm (GA) (3), the 2nd derivative (51,56), uninformative variables elimination based on partial least squares (UVE-PLS) (57,58), competitive adaptive reweighted sampling (CARS) (58)(59)(60)(61).…”

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

“…The models built by PLSR and ANN were compared to predict the medicinal ingredients in rhubarb samples ( Xue et al., 2018 ) and Lonicerae japonicae flos ( Jintao et al., 2021 ), concluding that models preferred for different components were not the same. There is no doubt that the use of portable spectrometers promotes the application of IR ( Wang et al., 2017 ) and Raman spectroscopy ( Wong et al., 2015 ).…”