Chemical fingerprint and quantitative analysis of flavonoids for quality control of Sea buckthorn leaves by HPLC and UHPLC-ESI-QTOF-MS

2017 ◽  
Vol 37 ◽  
pp. 513-522 ◽  
Author(s):  
Ruifang Dong ◽  
Juan Su ◽  
Hua Nian ◽  
Hui Shen ◽  
Xin Zhai ◽  
...  
Keyword(s):  
Quality Control ◽  
Quantitative Analysis ◽  
Sea Buckthorn ◽  
Chemical Fingerprint

Chemical fingerprint and quantitative analysis for quality control of polyphenols extracted from pomegranate peel by HPLC

2015 ◽  
Vol 176 ◽  
pp. 7-11 ◽  
Author(s):  
Jianke Li ◽  
Xiaoye He ◽  
Mengying Li ◽  
Wei Zhao ◽  
Liu Liu ◽  
...  
Keyword(s):  
Quality Control ◽  
Quantitative Analysis ◽  
Pomegranate Peel ◽  
Chemical Fingerprint

New Determination Method of Two Bioactive Saponins in Lysimachia capillipes Hemsl. by Quantitative Analysis of Multi-Components by Single-Marker

2021 ◽  
Author(s):  
Xiaoyong Zhang ◽  
Xuezhao Chen ◽  
Juan Jin ◽  
Minghua Gong ◽  
Qiang He ◽  
...  
Keyword(s):  
Quality Control ◽  
Quantitative Analysis ◽  
High Performance ◽  
Reference Standards ◽  
Bioactive Components ◽  
Evaporative Light Scattering Detector ◽  
Evaporative Light Scattering ◽  
External Standard ◽  
Single Marker

Abstract Capilliposide B (CPS-B) and Capilliposide C (CPS-C), as the key components in Lysimachia capillipes Hemsl., increasingly aroused the interest and research concern of many researchers due to the good bioactivities. Nowadays, the reference standards of CPS-B and CPS-C yield were very limited. Due to the deficit of reference standards, the determination could be difficult to carry out, and the quality control and evaluation would be restrained afterwards. To solve this urgent problem, a quantitative analysis of multi-components by single-marker (QAMS) method was proposed and established based on high-performance liquid-chromatography tandem evaporative light-scattering detector. In this QAMS method, the content of the two bioactive components could be calculated by buddlejasaponin IV, which is applied as an external standard and readily obtained. And the methodological experiments were evaluated and indicated accuracy, stability and feasibility of this QAMS method. Therefore, in this study, this built method would properly meet the requirement of determination of CPS-B, CPS-C and quality control of the L. capillipes Hemsl. plant.

Simultaneous chemical fingerprint and quantitative analysis of Ginkgo biloba extract by HPLC–DAD

2010 ◽  
Vol 396 (8) ◽  
pp. 3087-3095 ◽  
Author(s):  
Daoquan Tang ◽  
Dongzhi Yang ◽  
Anbang Tang ◽  
Yuanyuan Gao ◽  
Xianglan Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Ginkgo Biloba ◽  
Ginkgo Biloba Extract ◽  
Chemical Fingerprint

scholarly journals DNA-Based Herbal Teas’ Authentication: An ITS2 and psbA-trnH Multi-Marker DNA Metabarcoding Approach

Plants ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2120
Author(s):  
Jessica Frigerio ◽  
Giulia Agostinetto ◽  
Valerio Mezzasalma ◽  
Fabrizio De De Mattia ◽  
Massimo Labra ◽  
...  
Keyword(s):  
Quality Control ◽  
Quantitative Analysis ◽  
Medicinal Plants ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
The Other ◽  
Plant Component ◽  
Identification Rate ◽  
Dna Metabarcoding ◽  
Therapeutic Properties

Medicinal plants have been widely used in traditional medicine due to their therapeutic properties. Although they are mostly used as herbal infusion and tincture, employment as ingredients of food supplements is increasing. However, fraud and adulteration are widespread issues. In our study, we aimed at evaluating DNA metabarcoding as a tool to identify product composition. In order to accomplish this, we analyzed fifteen commercial products with DNA metabarcoding, using two barcode regions: psbA-trnH and ITS2. Results showed that on average, 70% (44–100) of the declared ingredients have been identified. The ITS2 marker appears to identify more species (n = 60) than psbA-trnH (n = 35), with an ingredients’ identification rate of 52% versus 45%, respectively. Some species are identified only by one marker rather than the other. Additionally, in order to evaluate the quantitative ability of high-throughput sequencing (HTS) to compare the plant component to the corresponding assigned sequences, in the laboratory, we created six mock mixtures of plants starting both from biomass and gDNA. Our analysis also supports the application of DNA metabarcoding for a relative quantitative analysis. These results move towards the application of HTS analysis for studying the composition of herbal teas for medicinal plants’ traceability and quality control.

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