Integrated Approach for Species Identification and Quality Analysis for Labisia pumila Using DNA Barcoding and HPLC.
Auni Aqilah Ahmad TarmiziAlina WagiranFaezah Mohd SallehLee Suan ChuaFarah Izana AbdullahRosnani HashamSuraiya Binte MostafizPublished in: Plants (Basel, Switzerland) (2021)
Labisia pumila is a precious herb in Southeast Asia that is traditionally used as a health supplement and has been extensively commercialized due to its claimed therapeutic properties in boosting a healthy female reproductive system. Indigenous people used these plants by boiling the leaves; however, in recent years it has been marketed as powdered or capsuled products. Accordingly, accuracy in determination of the authenticity of these modern herbal products has faced great challenges. Lack of authenticity is a public health risk because incorrectly used herbal species can cause adverse effects. Hence, any measures that may aid product authentication would be beneficial. Given the widespread use of Labisia herbal products, the current study focuses on authenticity testing via an integral approach of DNA barcoding and qualitative analysis using HPLC. This study successfully generated DNA reference barcodes (ITS2 and rbcL) for L. pumila var. alata and pumila. The DNA barcode that was generated was then used to identify species of Labisia pumila in herbal medicinal products, while HPLC was utilized to determine their quality. The findings through the synergistic approach (DNA barcode and HPLC) implemented in this study indicate the importance of both methods in providing the strong evidence required for the identification of true species and to examine the authenticity of such herbal medicinal products.
Keyphrases
- ms ms
- circulating tumor
- cell free
- simultaneous determination
- single molecule
- health risk
- healthcare
- solid phase extraction
- high performance liquid chromatography
- mass spectrometry
- emergency department
- systematic review
- high resolution
- risk assessment
- multidrug resistant
- genetic diversity
- circulating tumor cells
- social media
- data analysis
- health information
- adverse drug