Application of new chemical profiling technique for characterisation and quality control of botanical products: multidimensional profiling

2010 ◽  
Vol 8 (4) ◽  
pp. 537-538
Author(s):  
NP Seeram ◽  
JE Thompson ◽  
H Constant ◽  
C Beecher ◽  
U Splittgerber ◽  
...  
2012 ◽  
Vol 7 (2) ◽  
pp. 1934578X1200700
Author(s):  
Xiong Li ◽  
Yu Feng Zhang ◽  
Liu Yang ◽  
Yi Feng ◽  
Yuan Hui Deng ◽  
...  

A reliable LC-MS method has been applied for the separation and identification of major constituents of the rhizome of Smilacis glabrae. Identification of the constituents was carried out by interpretation of their retention time, and MS and MS/MS data, especially by comparing these with Sarcandra glabra under the same LC-MS conditions, as well as the data provided by the literature. Thirty-three compounds, including catechin derivatives, flavanonols, phenolic acid derivatives and phenylpropanoid glycosides were either identified or tentatively characterized. Among them, compound 12 was deduced to be a new phenylpropanoid-substituted catechin. Fragmentation behaviors of the three major categories of compounds were also investigated. This UPLC-PDA/ESI-MSnmethod was effective for the separation and identification of the constituents and could be the basis for the comprehensive quality control of Smilacis glabrae.


2018 ◽  
Vol 13 (12) ◽  
pp. 1934578X1801301 ◽  
Author(s):  
Gunawan Indrayanto

Pharmaceutical industries should apply rigorous QC (quality control) to ensure the consistency, safety, and efficacy of their herbal derived drug-preparations. QC must be performed at every stage of the production line i.e. incoming raw materials, extractions, in-process control, finished products and keeping samples. Due to the complex nature of the chemical content of herbal drugs, two approaches to QC should be taken, that is quantitative determination of the selected marker(s) compound(s), and metabolite profiling. Contamination of herbal medicines by heavy metals, pesticides, toxic metabolites, microbial toxins, pathogenic microorganisms and other foreign matter should also be evaluated. A combination of chemical profiling and multivariate analysis (MVA) is recommended as the QC tool for the botanical identification method (BIM) of herbs, extracts, herb materials, and herbal drug preparations. Microscopic methods, DNA profiling or chemical marker(s) are not recommended for use as the sole BIM due to the lack of specificity. Only markers that meet certain criteria i.e. quality active (QA) markers can be utilized as a QC tool. The limit specification range of markers used as QC tools should be described in the analytical target profile (ATP). To gain reliable results of any analysis that has been performed at any QC laboratory, the analysis method must be validated according to the newest guidance. Sample detection limit of any toxic compound(s) should be lower than its cut-off value and MPL. The reliability of any results of analysis of a QC laboratory must be evaluated by using QC-samples for each series of measurements.


2016 ◽  
Vol 12 (47) ◽  
pp. 407 ◽  
Author(s):  
AshutoshKumar Verma ◽  
SunitaSingh Dhawan ◽  
Seema Singh ◽  
KumarAvinash Bharati ◽  
Jyotsana

2014 ◽  
Author(s):  
Florian Herrmann ◽  
Michael Wink

Traditional Chinese medicine has become increasingly popular in Europe and North America.There is evidence that quality control in terms of species authentication is sometimes inappropriate. Repeated incidents of adulterations and wrong identification, some even with serious consequences have occurred recently. The necessity of a quality control for TCM drugs to avoid these incidents is given since many years. DNA barcoding was used in this study to authenticate drugs which are often used in Chinese herbal medicine. 37 plants from 28 families were identified using nucleotide sequences of the rbcL gene. Only one adulteration could be detected. Both the advantages and limitations of rbcL as a marker gene for identification were analysed and discussed. We could show that DNA barcoding is a valid and fast method to identify medicinal herbs, showing some advantages over chemical profiling because of its universal application even for unknown plant species.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Qingdong Ma ◽  
Xiaoxiang Chen ◽  
Ke Zhang ◽  
Dahong Yao ◽  
Lu Yang ◽  
...  

The quality control of Saussurea involucrata has been greatly improved by macroscopic and microscopic identification and chemical profiling described in Chinese Pharmacopoeia since 2005. However, these methods have their own limitations, e.g., their dependence on personal experience and expertise, and it is a huge challenge to identify closely related species that share similar or identical morphological characteristics and chemical profiles. A novel and generally accepted identification strategy is urgently needed as a complement to regulations for protecting the public health interests. In this work, a comprehensive chromatographic fingerprint method was developed and tested on 43 samples from four haplotypes of S. involucrata according to DNA barcoding. Three common patterns consisting of 20, 14, and 7 common peaks were generated by frequency filters of median, upper quartile, and 100%, respectively. Based on two formerly screened patterns, S. involucrata can be effectively identified from its five easily confused snow lotus species, including the most closely related plant (S. orgaadayi) in the orthogonal partial least-squares discriminant analysis (OPLS-DA) models. The model is supported by good R and Q coefficients. In addition, different haplotypes of S. involucrata can be discriminated in the OPLS-DA model using the 20 common peaks. Among them, peaks 9, 11, 16 (zaluzanin C), and 18 (dehydrocostus lactone) have been identified as fingerprint markers of S. involucrata via S-plots and VIP values (>1). Additionally, peaks 19 and 20 were identified as linolenic acid and linoleic acid with anti-inflammatory activity, and they were isolated from the herb for the first time. Collectively, the chromatographic fingerprint of S. involucrata can be an effective and integrated method for the identification of authentic herbs from adulterant species or related plants, and discrimination of its different haplotypes provides an objective and reliable tool for quality control.


Author(s):  
Prerna Goel ◽  
Vidhu Aeri ◽  
Rikeshwer Prasad Dewangan ◽  
Rehan Abdur Rub

Background: Drakshasava is one of the commercial Ayurvedic medicine from India, prepared from grapes and spices. It is believed to address health imbalances and claimed to be beneficial for weakness bleeding disorders and various inflammatory diseases. It reported pharmacological activities such as diuretic, cardioprotective and antimicrobial. Being a polyherbal mixture, it faces challenges in its standardization and quality control. Method: The MS methods were optimized in multiple-reaction monitoring (MRM) mode with ESI while chromatographic separation was achieved on an Acquity UPLC BEH C18 column using both isocratic and gradient elution in water and acetonitrile containing 0.1% formic acid. Results: The developed method was validated as per ICH-Q2B guidelines and found to be within the assay variability limits. Gallic acid was found to be the most abundant marker in all the samples followed by resveratrol. The content of all the markers has found to be increased significantly post fermentation, compared to decoction except kaempferol. The successive addition of prashpeka drvya (minor herbs) in the formulation, show variability at different stages, with respect to the selected markers and does not infer major changes in the chemical profiling of final product. Conclusion: The developed method was found rapid, accurate, reliable and highly sensitive for the simultaneous quantification of selected biomarkers in Drakshasava. The research is the first chemometric report in standardization of Drakshasava by validated UPLC-MS/MS method. It may prove to be useful tool for development of new phyto-pharmaceutical drug and further quality control of other poly herbal formulations.


Author(s):  
Florian Herrmann ◽  
Michael Wink

Traditional Chinese medicine has become increasingly popular in Europe and North America.There is evidence that quality control in terms of species authentication is sometimes inappropriate. Repeated incidents of adulterations and wrong identification, some even with serious consequences have occurred recently. The necessity of a quality control for TCM drugs to avoid these incidents is given since many years. DNA barcoding was used in this study to authenticate drugs which are often used in Chinese herbal medicine. 37 plants from 28 families were identified using nucleotide sequences of the rbcL gene. Only one adulteration could be detected. Both the advantages and limitations of rbcL as a marker gene for identification were analysed and discussed. We could show that DNA barcoding is a valid and fast method to identify medicinal herbs, showing some advantages over chemical profiling because of its universal application even for unknown plant species.


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