Natural Pharmaceutical Component Analysis

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Natural Products".

Deadline for manuscript submissions: 25 August 2025 | Viewed by 408

Special Issue Editor


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Guest Editor
1. School of Pharmacy, Second Military Medical University, Shanghai 200433, China
2. Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Second Military Medical University, Shanghai, China
Interests: similarity evaluation (SA); principal components analysis (PCA); hierarchical clustering analysis (HCA); fingerprint; quality evaluation; gut–liver axis; gut–brain axis; metabolism
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Special Issue Information

Dear Colleagues,

Chemical component analysis is a fundamental challenge in the study of natural pharmaceuticals, involving the qualitative and quantitative identification of complex constituents. In order to more effectively and comprehensively analyze the complex constituents of natural pharmaceutical products and provide support on a clinical pharmacological basis, existing analytical methods still have room for further optimization and improvement in areas such as instrumentation technology, sample preparation, data processing, and activity-related quality marker research. With the advent of novel data acquisition methods, the analysis of natural pharmaceutical components has entered a new era, presenting both new opportunities and challenges. Innovative sample preparation techniques and artificial intelligence-based data processing strategies have greatly enhanced the sensitivity and accuracy of identifying and characterizing chemical constituents in natural pharmaceuticals. Furthermore, the integration of online activity analysis facilitates the simultaneous screening of components and bioactivity, enabling a more direct connection between chemical composition and therapeutic efficacy. This approach not only advances quality assurance practices but also offers insights into the dynamic interactions among constituents and their potential mechanisms of action.

Indeed, the systematic analysis of natural pharmaceutical components is critical for understanding their pharmacological properties and ensuring their safety and efficacy. By combining novel instrumental technologies, improved pretreatment methods, and activity-guided approaches, this field has seen significant progress in linking chemical composition with bioactivity. These innovations are driving advancements in quality control and clinical applications, fostering the modernization of natural pharmaceuticals and contributing to their global recognition as evidence-based therapeutic systems. This Special Issue aims to showcase these cutting-edge techniques, highlighting their role in enhancing the precision and comprehensiveness of natural pharmaceutical component analysis.

Prof. Dr. Tingting Zhou
Guest Editor

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Keywords

  • natural pharmaceutical component analysis
  • data acquisition technologies
  • pretreatment methods
  • data processing
  • online activity analysis

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Published Papers (1 paper)

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Research

12 pages, 560 KiB  
Article
Development and Validation of an HPLC–PDA Method for Quality Control of Jwagwieum, an Herbal Medicine Prescription: Simultaneous Analysis of Nine Marker Compounds
by Chang-Seob Seo, Jeeyoun Jung and Sarah Shin
Pharmaceuticals 2025, 18(4), 481; https://doi.org/10.3390/ph18040481 - 27 Mar 2025
Viewed by 249
Abstract
Background/Objectives: Jwagwieum (or Joa-Gui Em; JGE) consists of six herbal medicines, Rehmannia glutinosa (Gaertn.) DC., Dioscorea japonica Thunb., Lycium chinense Mill., Cornus officinalis Siebold & Zucc., Poria cocos Wolf, and Glycyrrhiza uralensis Fisch., and has been widely used to treat kidney-yin deficiency [...] Read more.
Background/Objectives: Jwagwieum (or Joa-Gui Em; JGE) consists of six herbal medicines, Rehmannia glutinosa (Gaertn.) DC., Dioscorea japonica Thunb., Lycium chinense Mill., Cornus officinalis Siebold & Zucc., Poria cocos Wolf, and Glycyrrhiza uralensis Fisch., and has been widely used to treat kidney-yin deficiency syndrome. In the present study, a high-performance liquid chromatography with photodiode array detector (HPLC–PDA) method for the simultaneous quantification of the nine components, i.e., gallic acid, 5-(hydroxymethyl)furfural, morroniside, loganin, liquiritin apioside, liquiritin, ononin, glycyrrhizin, and allantoin, was developed. Methods: The developed HPLC–PDA assay for quality control of JGE was validated with respect to linearity, limit of detection (LOD), limit of quantification (LOQ), recovery, and precision. Results: In the regression equation of the calibration curve, the coefficient of determination was ≥0.9980, and LOD and LOQ were 0.003–0.071 μg/mL and 0.010–0.216 μg/mL, respectively. Recovery and precision (relative standard deviation) were 96.36–106.95% and <1.20%, respectively. In this analytical method, nine compounds were detected at concentrations of 0.15–3.69 mg/lyophilized gram. Conclusions: The developed and validated analytical method could be used to obtain basic data for the quality control of JGE and related herbal prescriptions. Full article
(This article belongs to the Special Issue Natural Pharmaceutical Component Analysis)
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