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[Quality evaluation method for Chinese medicine based on color grading].

Man-Fei Xu1,2, Zhi-Sheng Wu1,2, Xiao-Na Liu1,2

  • 1School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China.

Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica
|September 2, 2017
PubMed
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This study introduces a new theory for Chinese herbal medicine (CHM) quality control using objective color grading. It explores the link between CHM color, properties, and compounds, paving the way for digital quality assessment.

Area of Science:

  • Pharmacognosy
  • Analytical Chemistry
  • Traditional Chinese Medicine

Background:

  • Traditional identification of Chinese herbal medicine (CHM) relies on subjective methods.
  • Color is a critical indicator of CHM quality, closely linked to medicinal properties and active compound content.

Purpose of the Study:

  • To propose a novel theory for CHM quality control based on objective color grading.
  • To investigate the scientific basis of CHM color grading by analyzing its relationship with medicinal properties and active compounds.
  • To review objective color evaluation technologies for CHM quality assessment.

Main Methods:

  • Investigated the correlation between CHM color, medicinal properties, and active compound content.
  • Analyzed the influence of origin, collection time, processing, and storage on CHM color.
Keywords:
Chinese herbal medicinecolorcolorimetrymachine vision technology

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  • Reviewed objective color evaluation methods like spectrocolorimetry and machine vision technology.

    • Main Results:

    • Established the scientific validity of CHM color grading by demonstrating its link to quality indicators.
    • Identified key factors (origin, time, processing, storage) affecting CHM color.
    • Highlighted the advantages and disadvantages of spectrocolorimetry and machine vision in CHM analysis.

    Conclusions:

    • A new theory for CHM quality control using objective color grading is proposed.
    • Digitalization of color sense is significant for modernizing CHM quality evaluation.
    • Objective methods offer a more reliable alternative to traditional CHM identification.