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Related Experiment Video

Updated: Feb 5, 2026

Author Spotlight: Improving Beef Cattle Nutrition and Production with a Focus on Feed Efficiency and Meat Quality Traits Through Advanced Biochemical and Molecular Assays
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Correlation between Quality and Geographical Origins of

Li-Xia Zhu1,2, Jun Xu3, Ru-Jing Wang4,5

  • 1Pharmacy College, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China. alicesuly@163.com.

Molecules (Basel, Switzerland)
|September 12, 2018
PubMed
Summary

The geographical origin significantly impacts the quality of Poria cocos sclerotium (PCS), a traditional Chinese medicine. This study developed advanced analytical methods to identify quality markers and confirm the link between PCS quality and its growing location.

Keywords:
Poria cocosUHPLC-QTOF-MS/MSUHPLC-QqQ-MS/MSfingerprintmultivariate statistical analysisquantification

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Area of Science:

  • Pharmacognosy
  • Analytical Chemistry
  • Natural Product Chemistry

Background:

  • Poria cocos (Schw.) Wolf (PC) is a fungus used in traditional Chinese medicine and functional foods.
  • The sclerotium without epidermis (PCS) is collected globally, but its quality-geography correlation is unknown.
  • Understanding this link is crucial for PCS quality control and resource management.

Purpose of the Study:

  • To investigate the correlation between the geographical origin and the quality of Poria cocos sclerotium (PCS).
  • To establish a comprehensive analytical strategy for assessing PCS quality based on its origin.
  • To identify potential chemical markers indicative of PCS quality.

Main Methods:

  • Developed qualitative fingerprint profiling using UHPLC-DAD-QTOF-MS/MS.
  • Established quantitative analysis via UHPLC-QqQ-MS/MS in MRM mode.
  • Utilized chemometric methods (PCA, OPLS-DA, HCA) for sample classification and marker screening.

Main Results:

  • Generated a standard PCS fingerprint and identified 23 common compounds.
  • Classified 25 PCS samples into four groups consistent with their geographical origins.
  • Identified 10 potential quality-distinguishing compounds, including nine triterpene acids.

Conclusions:

  • Confirmed a significant correlation between PCS quality and geographical origin.
  • The developed analytical strategy provides a robust method for PCS quality assessment.
  • This research supports optimized utilization and quality control of PCS as a natural resource.