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  11. Identification And Adulteration Evaluation Of Rubiae Radix Et Rhizoma And Its Common Adulterants Based On Lc-ms And Chemometrics

Identification and Adulteration Evaluation of Rubiae Radix Et Rhizoma and Its Common Adulterants Based on LC-MS and Chemometrics

Lihui Zhang1,2, Ting Han1,2, Xianrui Wang1,2

  • 1Institute for Control of Traditional Chinese Medicine and Ethnic Medicine, National Institutes for Food and Drug Control, Beijing 102629, China.

Molecules (Basel, Switzerland)
|June 13, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Rubiae radix et rhizoma (RRR) adulteration can be identified using liquid chromatography-mass spectrometry (LC-MS). This method detects even 3% adulterants like Rubia schumanniana (RSP) or Rubia magna (RMP) using a unique "ion identity".

Area of Science:

  • Pharmacognosy
  • Analytical Chemistry
  • Metabolomics

Background:

  • Rubiae radix et rhizoma (RRR) is a traditional medicine.
  • Common adulterants include Rubia schumanniana (RSP) and Rubia magna (RMP).
  • Accurate identification of RRR is crucial for therapeutic efficacy and safety.

Purpose of the Study:

  • To develop and evaluate an LC-MS based method for identifying RRR adulteration.
  • To establish a reliable method for distinguishing RRR from its common adulterants RSP and RMP.
  • To assess the sensitivity of the method in detecting low levels of adulterants.

Main Methods:

  • Liquid chromatography-mass spectrometry (LC-MS) was employed for sample analysis.
  • Proprietary ions unique to RRR, RSP, and RMP were identified.
Keywords:
LC-MSRubia magna P. G. XiaoRubia schumanniana E. Pritz.Rubiae radix et rhizoma

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  • An "ion identity" was established for each herb based on top-n ions.
  • Recognition index (RI) and chemometric analysis were used for sample evaluation.

    • Main Results:

    • The "ion identity" method successfully identified RRR adulteration.
    • The method could detect as low as 3% of RSP or RMP in RRR samples.
    • Analysis of three market samples confirmed the presence of adulterants.
    • The approach demonstrated high accuracy and reliability in RRR identification.

    Conclusions:

    • LC-MS based "ion identity" is an effective strategy for RRR identification.
    • This method provides significant reference value for the quality control and analysis of RRR.
    • The findings contribute to ensuring the authenticity and safety of RRR in the market.
    chemometrics
    identification evaluation