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Application of HRM combined with DNA barcoding to analysis of the Armeniacae semen amarum mixed in Persicae semen
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Chao XIONG1, 2, Jing-jian LI3, Wei SUN2, He-gang LIU1, Lan WU1, 2, Di LIU1, Zhi-gang HU1, 2, *, Shi-lin CHEN1, 2, *
Acta Pharmaceutica Sinica | 2017, 52(4) : 647 - 652
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Acta Pharmaceutica Sinica | 2017, 52(4): 647-652
Application of HRM combined with DNA barcoding to analysis of the Armeniacae semen amarum mixed in Persicae semen
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Chao XIONG1, 2, Jing-jian LI3, Wei SUN2, He-gang LIU1, Lan WU1, 2, Di LIU1, Zhi-gang HU1, 2, *, Shi-lin CHEN1, 2, *
Affiliations
  • 1. College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China
  • 2. Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • 3. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
Published: 2017-04-12 doi: 10.16438/j.0513-4870.2017-0152
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Persicae semen has been used for years as a traditional Chinese medicine to treat diseases. Because of their similar morphologies, Persicae semen was commonly inadvertently mixed with Armeniacae semen amarum (a toxic herbal seed). Development of a reliable method for discriminating Persicae semen from its adulterant is necessary to reduce confusion for the drug safety in clinical practices. This study evaluates the efficiency of high-resolution melting (HRM) combined with internal transcribed spacer 2 (ITS2) to analyze Persicae semen. Our findings show that HRM allows not only the identification of adulteration but also the quantification of the most common admixture. HRM sensitivity in adulterant detection was assessed through the analysis of mixing samples with different proportions of Prunus persica and Prunus armeniaca control. The results are presented as a linear regression with r of 0.96 and imply the capability of the method to detect adulteration. In particular, HRM detected seeds of Prunus persica in Prunus armeniaca at concentrations as low as 1%, and commercial products labeled as 'Persicae semen' were purchased from markets and could rapid authenticated by HRM analyses. This study is significant in the verification of the authenticity in the quality control of herbal medicine. In the near future, it is promising to be the main trend for identifying traditional Chinese medicinal materials.

Persicae semen  /  Armeniacae semen amarum  /  high resolution melting  /  ITS2  /  identification  /  traditional Chinese medicinal materials
Chao XIONG, Jing-jian LI, Wei SUN, He-gang LIU, Lan WU, Di LIU, Zhi-gang HU, Shi-lin CHEN. Application of HRM combined with DNA barcoding to analysis of the Armeniacae semen amarum mixed in Persicae semen[J]. Acta Pharmaceutica Sinica, 2017 , 52 (4) : 647 -652 . DOI: 10.16438/j.0513-4870.2017-0152
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Article Info
doi: 10.16438/j.0513-4870.2017-0152
  • Receive Date：2017-02-20
  • Online Date：2026-01-14
  • Published：2017-04-12
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History
  • Received：2017-02-20
  • Revised：2017-03-03
Funding
Affiliations
    1. College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China
    2. Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
    3. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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