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Research article
Yaojiang Huang
Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5409-5605
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Background: Glycyrrhiza uralensis is a traditional Chinese herb, and sales volume of this herb is large. However, adulterant herbal materials threaten trade and consumer safety. Methods：A rapid detection system for the identification of G. uralensis was established using loop-mediated isothermal amplification (LAMP) and real-time fluorescence quantitative PCR (Real-Time PCR). The DNA was extracted and the G. uralensis primers were designed. LAMP and Real-Time PCR were performed to assessment the specificity of primers in species. The sensitivity of LAMP and Real-Time PCR was contrast by diluting DNA concentration gradient from 101 ng/μL to 10-5 ng/μL. Results: tThe results showed that LAMP and Real-Time PCR were specificity because G. uralensis were positive while similar species were not. The sensitivity of LAMP was similar to Real-Time PCR at DNA concentration of 10-4ng in 60 min. The results indicated that LAMP and Real-Time PCR are accurately, specificity and sensitivity in the Authenticity Identification of G. uralensis. Conclusions: LAMP is less time-consuming, convenient, and does not require expensive equipment. Thus, these findings suggested that a method system and standard of traditional Chinese herb market supervision should be established based on a DNA barcode sequence and LAMP for authenticity identification.
Keywords
Traditional Chinese Herbs, Real-Time PCR, Glycyrrhiza uralensis, LAMP, Specificity, Sensitivity
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Yaojiang Huang
Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China
Corresponding Author
ORCiD: https://orcid.org/0000-0001-5409-5605
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 07 Jun, 2019
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Plant Molecular Biology and Genetics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Glycyrrhiza uralensis is a traditional Chinese herb, and sales volume of this herb is large. However, adulterant herbal materials threaten trade and consumer safety. Methods：A rapid detection system for the identification of G. uralensis was established using loop-mediated isothermal amplification (LAMP) and real-time fluorescence quantitative PCR (Real-Time PCR). The DNA was extracted and the G. uralensis primers were designed. LAMP and Real-Time PCR were performed to assessment the specificity of primers in species. The sensitivity of LAMP and Real-Time PCR was contrast by diluting DNA concentration gradient from 101 ng/μL to 10-5 ng/μL. Results: tThe results showed that LAMP and Real-Time PCR were specificity because G. uralensis were positive while similar species were not. The sensitivity of LAMP was similar to Real-Time PCR at DNA concentration of 10-4ng in 60 min. The results indicated that LAMP and Real-Time PCR are accurately, specificity and sensitivity in the Authenticity Identification of G. uralensis. Conclusions: LAMP is less time-consuming, convenient, and does not require expensive equipment. Thus, these findings suggested that a method system and standard of traditional Chinese herb market supervision should be established based on a DNA barcode sequence and LAMP for authenticity identification.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
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