Near-infrared spectroscopy as a process analytical technology tool for monitoring the parching process of traditional chinese medicine based on two kinds of chemical indicators

Li, Kaiyue; Wang, Weiying; Liu, Yanping; Su, Jiang; Huang, Guo; Ye, Liming

doi:10.4103/pm.pm_416_16

Cited by 10 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Te NIRS technique can be used for the rapid determination of two chemical indicators, 5-HMF and 420 nm absorbance values, with the RMSE P less than 0.03 and the R 2 greater than 0.99 in the TCM process. It was concluded that NIRs are expected to replace current subjective colour judgments and tedious HPLC or UV/Vis methods and are applicable to rapid analysis and quality control of TCM in the process of industrial production [19]. Using NIRS, Zhu et al established a quantitative analysis model to determine the content of seven alkaloids in crude and processed products of Corydalis Rhizoma.…”

Section: Introductionmentioning

confidence: 99%

Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy

Jia,

Mai,

Xiang

et al. 2024

Journal of Spectroscopy

View full text Add to dashboard Cite

The precise and prompt determination of quality control indicators such as moisture, stilbene glycosides, and anthraquinone glycosides is crucial in assessing the quality of Polygoni Multiflori Radix. Near-infrared spectroscopy is a nondestructive analytical technique that offers a more desirable approach than traditional methods for assessing content levels. In this study, various spectral preprocessing techniques were used to preprocess the raw spectral data. The spectral data were correlated with the determination of three-component contents using the partial least squares regression (PLSR) method. Then different algorithms, such as competitive adaptive weighted sampling (CARS), Monte Carlo uninformative variable elimination (MCUVE), and random frog hopping (RF), were used for model simplification and feature selection. The data suggest that the first-order deconvolution derivative (1st Dev.) processing of the spectral data is superior to other methods in all three model evaluation metrics. The PLSR model for moisture, stilbene glycosides, and anthraquinone glycosides produced the calibration coefficient of determination (R2C) of 0.82, 0.52, and 0.58, the root mean square error of cross validation (RMSECV) of 0.91%, 0.77%, and 0.69%, the prediction coefficient of determination (R2P) of 0.72, 0.28, and 0.54, the root mean square error of prediction (RMSEP) of 0.65%, 0.81%, and 0.75%, and relative percentage differences (RPDs) of 1.7, 1.0, and 0.8. After optimizing the model using CARS, R2C increased by 0.15%, 0.41%, and 0.34%, RMSECV decreased by 0.53%, 0.32%, and 0.24%, R2P increased by 0.21%, 0.63%, and 0.35%, RMSEP decreased by 0.36%, 0.41%, and 0.31%, and RPD increased by 1.1, 0.9, and 0.6, significantly improving the predictive capacity of the model. This research provides a feasible method for rapid compliance testing of Polygoni Multiflori Radix. To further improve the model’s performance and applicability, it is necessary to continuously expand the sample set with different varieties and locations for wide variation.

show abstract

Section: Introductionmentioning

confidence: 99%

Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy

Jia,

Mai,

Xiang

et al. 2024

Journal of Spectroscopy

View full text Add to dashboard Cite

show abstract

“…Characteristic bands are produced in the NIR spectra of minerals by interaction of electromagnetic radiation with the atoms and molecules that are present in these minerals as a result of electronic and vibrational spectroscopic processes [8,9]. As a fast, simple, nonpolluting, nondestructive, portable, and on the site analytical technique, NIR spectroscopy has been widely used in the qualitative identification, quantitative analysis, online monitoring, and drug supervision of traditional Chinese medicines [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy

Zhang

Chen

Bai

2019

Journal of Spectroscopy

View full text Add to dashboard Cite

Near-infrared spectroscopy has been widely used in qualitative and quantitative analysis and online monitoring in the production process of traditional Chinese medicines. The aim was to establish a fast determination model of zinc oxide (ZnO) content in calcined calamine and to explore methods through judging the end point of calamine calcination. Eight batches of calamine samples sourced from hydrozincite with different sizes and textures were calcined at different temperatures. During the calcination process, ZnO contents, X-ray diffraction (XRD) patterns, and near-infrared spectra of the samples were used to analyze their changes rules. The model of determining ZnO content of calcined calamine was established to use near-infrared spectroscopy based on the partial least squares (PLS) regression algorithm. In addition, this paper summarized the change rules of calamine in calcination according to XRD patterns, using the “K value” quantitative method to define the characteristic T value. When the T value was equal to 1.00 (100%), that is to say, the calamine sample was completely calcined. Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. Finally, the purpose of the online monitoring of the calcination process and controlling the quality of the calcined calamine was achieved.

show abstract

Quality evaluation of traditional Chinese medicines based on fingerprinting

Liu

Jiang

et al. 2019

J of Separation Science

View full text Add to dashboard Cite

The usage of traditional Chinese medicines has expanded globally, but the data about authentication, efficacy, and safety is far from sufficient to meet the criteria supporting their use worldwide due to complexity in the composition. Fingerprinting describes integral characterization and reflects interactive aspects of complex components; therefore, it can offer the possibility of evaluating quality of traditional Chinese medicines following the overall principle. Chemometric techniques introduce multivariate analytical methods into fingerprinting to obtain more information that is useful, which is consistent with the holistic thought and plays an important role in research on the substantial basis. In this review, we will start with three aspects to expound the quality evaluation of traditional Chinese medicines based on fingerprints. The analytical techniques used in developing fingerprints including chromatographic methods, spectroscopic methods, and capillary electrophoresis are introduced. Strategies for fingerprints analysis usually based on chemometric methods including unsupervised and supervised pattern recognition are described. Applications of fingerprints for multi‐component quantification, quality control, screening of bioactive components, and fingerprint‐efficacy relationship study are also outlined. Finally, we propose challenges and future perspectives of fingerprints in quality evaluation to promote the development of modernization and internationalization of traditional Chinese medicines.

show abstract

Near-infrared spectroscopy as a process analytical technology tool for monitoring the parching process of traditional chinese medicine based on two kinds of chemical indicators

Cited by 10 publications

References 19 publications

Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy

Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy

Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy

Quality evaluation of traditional Chinese medicines based on fingerprinting

Contact Info

Product

Resources

About