2005
DOI: 10.1248/bpb.28.671
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Identification of Panax Species in the Herbal Medicine Preparations Using Gradient PCR Method

Abstract: In order to identify the existence of Panax species in herbal medicine preparations, the Ginseng specific marker primer was selected and created based on the sequence of Korean ginseng DNA fragment, 359 bp. The gradient PCR was performed on 40 types of the herbal medicines including the 7 types of Araliaceae that are in the same family with the Panax ginseng using the created Ginseng maker primer. As result, Panax notoginseng (Chinese), Panax japonicus (Japanese) and Panax quinquefolius (American), along with … Show more

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Cited by 24 publications
(6 citation statements)
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“…Since then, other molecular biological methods have been employed in the identification of notoginseng as well. These diverse methods enable more selective identification, and their improvements over older methods contribute to more accurate and efficient authentication [16,24,84,133].…”
Section: Identificationmentioning
confidence: 99%
“…Since then, other molecular biological methods have been employed in the identification of notoginseng as well. These diverse methods enable more selective identification, and their improvements over older methods contribute to more accurate and efficient authentication [16,24,84,133].…”
Section: Identificationmentioning
confidence: 99%
“…Yang and Kim [16] cleaved ginseng chlorophyll psbA and rbcL genes by restriction enzymes for differentiation and analyzed interspecies and intraspecies mutational variation. Furthermore, distinguishing Korean ginseng from various mixtures of medicinal plants could be possible by gradient PCR and RFLP applications [17] .…”
Section: Molecular Markers For Discrimination In Panax mentioning
confidence: 99%
“…Such evaluation is based on comparing visual parameters and microscopic properties with standard reference material (Shim et al, 2005). However, these criteria are subjective, and substitutes or adulterants may closely imitate the genuine material (Shim et al, 2005).…”
Section: Figmentioning
confidence: 99%