ArticleJournal of Zhejiang University. Science. B2017
Rapid quantification of multi-components in alcohol precipitation liquid of Codonopsis Radix using near infrared spectroscopy (NIRS).
Article in Journal of Zhejiang University. Science. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Codonopsis radix: a review of resource utilisation, postharvest processing, quality assessment, and its polysaccharide composition.Frontiers in pharmacology · 2024Review
- Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy.Frontiers in plant science · 2023Review
- Anticancer Properties of Lobetyolin, an Essential Component of Radix Codonopsis (Dangshen).Natural products and bioprospecting · 2021Review
- Research progress on the ethanol precipitation process of traditional Chinese medicine.Chinese medicine · 2020Review
- Sensory quality evaluation for appearance of needle-shaped green tea based on computer vision and nonlinear tools.Journal of Zhejiang University. Science. B · 2017Article
- [Application progress on near infrared spectroscopy in quality control and process monitoring of traditional Chinese medicine].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017Article
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Authors and funding
6 authors.
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Abstract
A near infrared spectroscopy (NIRS) approach was established for quality control of the alcohol precipitation liquid in the manufacture of Codonopsis Radix. By applying NIRS with multivariate analysis, it was possible to build variation into the calibration sample set, and the Plackett-Burman design, Box-Behnken design, and a concentrating-diluting method were used to obtain the sample set covered with sufficient fluctuation of process parameters and extended concentration information. NIR data were calibrated to predict the four quality indicators using partial least squares regression (PLSR). In the four calibration models, the root mean squares errors of prediction (RMSEPs) were 1.22 μg/ml, 10.5 μg/ml, 1.43 μg/ml, and 0.433% for lobetyolin, total flavonoids, pigments, and total solid contents, respectively. The results indicated that multi-components quantification of the alcohol precipitation liquid of Codonopsis Radix could be achieved with an NIRS-based method, which offers a useful tool for real-time release testing (RTRT) of intermediates in the manufacture of Codonopsis Radix.
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