scholarly journals HPLC Fingerprint Combined With Multicomponent Quantification as an Efficient Method for Quality Evaluation of Pharbitidis Semen

2020 ◽  
Vol 15 (6) ◽  
pp. 1934578X2093164
Author(s):  
Huiwei Bao ◽  
Huailei Yang ◽  
Feng Wang ◽  
Kaixuan Zhou ◽  
Yanan Yang ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Caffeic Acid ◽  
Evaluation System ◽  
High Performance ◽  
Quality Evaluation ◽  
Hplc Method ◽  
Hplc Fingerprint ◽  
Protocatechuic Aldehyde ◽  
Effective Components

Pharbitidis Semen is a traditional Chinese medicine(TCM) with a long history for treatment of edema and fullness, fecal and urinary retention, phlegm and retained fluid, and abdominal pain due to parasitic infestation. Since Pharbitidis Semen is distributed throughout the country, the quality of the medicine from different origins may be varied. Moreover, the reported method could not control the quality comprehensively. In this article, a fingerprint of Pharbitidis Semen has been established based on a high-performance liquid chromatography (HPLC) method. In addition, the contents of the 2 main effective components were determined simultaneously. The reference HPLC fingerprint was obtained according to the chromatograms of test samples. The similarity values were calculated by the Similarity Evaluation System for Chromatographic Fingerprint of TCM (2004 A edition). Cluster analysis of 10 batches of samples was performed using statistical software (SPSS 20.0). The HPLC fingerprints of 10 batches of Pharbitidis Semen showed 25 well-resolved common peaks in each chromatogram. Two of these peaks were assigned to protocatechuic aldehyde and caffeic acid. As a result, HPLC fingerprint similarities of 10 batches of samples were more than 0.99. Pharbitidis Semen from different habitats could be divided into 3 or 2 groups. The results of cluster analysis showed that samples classified into 1 group were associated with their habitats and breeds. At the same time, quantification results showed that the contents of protocatechuic aldehyde and caffeic acid were in the range of 0.026-0.088 and 0.019-0.053 mg/g−1 respectively. HPLC fingerprint combined with multicomponent quantification and data analysis techniques can be an efficient and useful method for monitoring the quality of Pharbitidis Semen. This study also provides a practical strategy for overall quality evaluation and control of traditional Chinese medicines.

scholarly journals HPLC Fingerprint Combined with Quantitation of Main Effective Components and Chemometrics as an Efficient Method for Quality Evaluation of Oviductus Ranae

2017 ◽  
Vol 12 (9) ◽  
pp. 1934578X1701200 ◽  
Author(s):  
Shihan Wang ◽  
Yang Xu ◽  
Yanwei Wang ◽  
Zuying Lv ◽  
Qingyan Cui ◽  
...  
Keyword(s):  
High Performance ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Hierarchical Cluster ◽  
Liaoning Province ◽  
Hplc Fingerprint ◽  
Effective Components ◽  
Hplc Profiles ◽  
Oviductus Ranae

To ensure the highest quality of Oviductus Ranae products for consumers, an accurate, efficient, scientific and comprehensive evaluation method for assessing the quality of Oviductus Ranae was proposed in this paper. The fingerprint of Oviductus Ranae has been established based on the method of high performance liquid chromatography (HPLC). Oviductus Ranae from different habitats were analyzed by hierarchical cluster analysis (HCA). The HPLC profiles of fourteen batches of Oviductus Ranae showed 33 well-resolved common peaks in each chromatogram. Five of these were assigned to 1-methyl hydantoin, 7-ketocholesterol, 4-cholesten-3-one, cholesterol and stigmasterol. Contents of these five main effective components were determined in the meantime. Based on the HPLC profiles of all the samples, the reference HPLC fingerprint and similarity values were calculated by statistical software (SPSS 19.0). It was found that similarity value of all Oviductus Ranae samples were more than 0.85 and Oviductus Ranae from same habitats had similarity to some degree. In conclusion, the proposed method had good specificity, repeatability, stability and precision, which can provide a reference for the quality evaluation and identification of the medicine origin of Oviductus Ranae. Quantitation of effective components revealed that contents of five effective constituents in Oviductus Ranae obtained from Ji Lin province were the highest, followed by Hei Longjiang province and Liaoning province. The results of HCA showed that samples classified into one group were associated with their habitats. HPLC fingerprint combined with quantitation of main effective compounds and data analysis techniques can be an efficient and useful method for monitoring the quality of Oviductus Ranae.

scholarly journals Chromatographic Fingerprint Combined with Content of Asperosaponin VI and Antioxidant Activity for Quality Evaluation of Wine-fried Dipsaci Radix

2014 ◽  
Vol 9 (6) ◽  
pp. 1934578X1400900 ◽  
Author(s):  
Li Song ◽  
Shaoyun Wang ◽  
Xiaoju Duan ◽  
Xinhua Liu ◽  
Zhaofang Li ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
High Performance ◽  
Quality Evaluation ◽  
Heating Temperature ◽  
Processing Condition ◽  
Influential Factor ◽  
Multivariate Statistical ◽  
Factors Affecting ◽  
Hplc Fingerprint

Dipsaci Radix, the dry root of Dipsacusasper Wall. ex Henry, is a commonly used traditional Chinese medicine (TCM). A novel comprehensive method was proposed for quality evaluation of wine-fried Dipsaci Radix by an integrated data including three aspects of information: high performance liquid chromatography (HPLC) fingerprint, asperosaponin VI content and antioxidant activity (AA). Various indicators including fingerprint similarity, asperosaponin VI content and AA were respectively employed for quality assessment of processed Dipsaci Radix samples. Results showed that considerable differences existed in quality of processed samples with different processing conditions according to three indicators. Among the factors affecting quality of wine-fried Dipsaci Radix, heating temperature was the most influential factor based on analysis of variance (ANOVA), and should be cautiously controlled. The three evaluation indicators respectively used for optimization of processing technology suggested different optimal conditions of wine-frying. Therefore, a combined indicator based on three evaluation indicators was used for determination of optimal processing condition. Multivariate statistical methods such as Hierarchical Clustering Analysis (HCA) and Principal Components Analysis (PCA) were both employed to classify the processed samples for quality evaluation. To more comprehensively evaluate the quality of wine-fried Dipsaci Radix, HPLC fingerprint combined with content of asperosaponin VI and AA may be a reasonable and practical approach.

scholarly journals Development of HPLC Fingerprint for Quality Assessment of Bulbus Lilii

2013 ◽  
Vol 8 (10) ◽  
pp. 1934578X1300801
Author(s):  
Kunming Qin ◽  
Hao Cai ◽  
Lijuan Zheng ◽  
Miao Zhang ◽  
Xinghai Zhang ◽  
...  
Keyword(s):  
High Performance ◽  
Quality Evaluation ◽  
Quality Analysis ◽  
Analysis Method ◽  
Hplc Fingerprint ◽  
Array Detection ◽  
Different Origins ◽  
First Time ◽  
And Storage

In this study, a simple, sensitive and reliable fingerprint analysis method by high-performance liquid chromatography coupled with diode array detection (HPLC-DAD) was developed for quality analysis of Bulbus Lilii, which is a famous traditional Chinese medicine and widely used as a restorative food. Then the developed method was subsequently applied to analyse 16 samples collected or purchased from different origins. Twelve common fingerprint peaks, including four definitely identified peaks, were found in total, and were involved for further characterisation and quality evaluation of Bulbus Lilii. The chemical quality of commercial samples collected from different origins varied obviously, indicating that more attention should be paid to the standardisation of the process of harvesting, manufacturing and storage of Bulbus Lilii. This is the first time that a new method has been established to control the quality of Bulbus Lilii through HPLC-DAD.

Fingerprint Analysis of Vitex Negundo by HPLC Coupled with Multi-components Analysis

2020 ◽  
Vol 16 (6) ◽  
pp. 743-751 ◽  
Author(s):  
Palak R. Patel ◽  
Nikunj D. Patel ◽  
Samir G. Patel ◽  
Niranjan S. Kanaki ◽  
Archita J. Patel
Keyword(s):  
Cluster Analysis ◽  
Hplc Method ◽  
Vitex Negundo ◽  
Fingerprint Analysis ◽  
Active Constituents ◽  
Hplc Fingerprint ◽  
Geographical Variations ◽  
Components Analysis ◽  
And Cluster Analysis

Background: Vitex negundo (Nagod) is a very useful medicinal plant growing throughout India. The leaves of Nagod are aromatic, tonic and vermifuge. They are useful in the treatment of many ailments. Introduction: Both seasonal and geographical variations have been observed in the active constituents in Vitex negundo. A comprehensive and reproducible HPLC method based on HPLC fingerprint analysis was developed for assessing the quality of Vitex negundo. Methods: Sixteen samples of Nagod collected from different locations and seasons of India were analysed by HPLC and chromatograms were recorded for each of them using PDA detector and 10 peaks were considered for further data analysis. The data were then treated for PCA and cluster analysis using Minitab software. Results: PCA and HCA analysis were used in determining the variability in the leaves of Nagod collected from different places and seasons. Conclusion: The method was useful for discriminating the location of plant within or outside Gujarat but was unable to display any effective seasonal variation in collected samples.

scholarly journals Quality Evaluation of Oviductus Ranae Based on PUFAs Using HPLC Fingerprint Techniques Combined with Chemometric Methods

Foods ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 322 ◽  
Author(s):  
Hongye Guo ◽  
Yuanshuai Gan ◽  
Min Liu ◽  
Shihan Wang ◽  
Shuling Ni ◽  
...  
Keyword(s):  
High Performance ◽  
Quality Evaluation ◽  
Petroleum Ether Extract ◽  
Chemometric Methods ◽  
Ether Extract ◽  
Hplc Fingerprint ◽  
Multiple Factors ◽  
Chromatographic Fingerprints ◽  
Oviductus Ranae

Oviductus Ranae is a nutritional product for both medicine and food. Its quality is uneven due to multiple factors. An efficient method was established to evaluate the quality of Oviductus Ranae using fingerprint techniques and chemometric methods based on the analysis of polyunsaturated fatty acids (PUFAs) in petroleum ether extract by high performance liquid chromatography (HPLC). During this process, 27 batches of Oviductus Ranae were analyzed by HPLC and two types of chromatographic fingerprints were established. The fingerprint that was obtained by matching six known peaks was used for the quantification of six PUFAs. Another fingerprint was obtained by matching sixteen peaks with a peak area ratio greater than 0.5% and it was used to classify the different qualities of Oviductus Ranae by further combining three different chemometric models. The 27 batches of Oviductus Ranae were divided into four categories, which was consistent with the analysis results of six PUFAs contents. The two high-quality samples with significantly higher contents were classified into one category, and samples with medium contents were divided into two categories, including eight and thirteen samples, respectively. The four inferior samples with lower contents were classified into one category. The results indicated that the newly developed method has potential application prospects for the quality evaluation of Oviductus Ranae.

Quality Assessment of Fructus xanthii Based on Fingerprinting Using High-Performance Liquid Chromatography

2012 ◽  
Vol 95 (4) ◽  
pp. 1053-1058 ◽  
Author(s):  
Liu Yang ◽  
Zhijun Su ◽  
Xing Zeng ◽  
Xiong Li ◽  
Zhifeng Wu ◽  
...  
Keyword(s):  
Quality Assessment ◽  
High Performance ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Multicomponent System ◽  
Principal Component ◽  
Uv Spectra ◽  
Hplc Fingerprint ◽  
Hplc Profiles

Abstract Because almost every traditional Chinese medicine (TCM) is a multicomponent system, QC of TCMs always involves various difficulties. As a current popular quality assessment approach, focusing on qualitative and quantitative analysis of certain compounds contained in herbal medicine has been widely used for the sake of expediency rather than being a practical and realistic way. However, this method does not take the existence of other constituents into account. Comparatively, the chromatographic fingerprint of the components is a more suitable approach to holistically assess the quality of herbal drugs. Fructus xanthii is a well-known herbal drug listed in all editions of the Chinese Pharmacopoeia. However, there is no quality evaluation method given in its monograph, even for the above-mentioned expediency. This paper reports an HPLC fingerprinting method for quality evaluation of F. xanthii. The HPLC profiles of 27 batches of commercial samples were further analyzed using chemometric methods, including similarity evaluation and principal component analysis. As a result, the established HPLC fingerprint contained 23 characteristic peaks; therein, 13 peaks were unambiguously assigned by comparing their retention times and UV spectra with those of reference compounds, and five peaks were tentatively identified on the basis of their MS/MS fragmentation patterns and UV spectra. Moreover, it could be clearly observed that caffeoylquinic acid and its analogs predominate in F. xanthii. Except for three samples identified as outliers, 24 other commercial samples displayed similar HPLC profiles, indicating that the quality of the herbs from different markets is stable and consistent.

scholarly journals Research on the Evaluation Index System and the Grey Clustering Analysis Model of Teaching Quality of Physical Education in Higher Education

2015 ◽  
Vol 10 (8) ◽  
pp. 59 ◽  
Author(s):  
Baoquan Wu
Keyword(s):  
Physical Education ◽  
Clustering Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Analysis Model ◽  
Grey Clustering

Teaching quality evaluation of physical education usually involves multiple influence factors with grey and uncertain information. This brings about limitations to effective evaluation of teaching quality of physical education in colleges and universities. Thus, this paper draws merits from previous research and proposes a teaching quality evaluation system and model of physical education in colleges and universities. First, based on real situations, grey categories of evaluation state for physical education teaching quality are established. The definite weighted functions of grey category of evaluation state are confirmed. Specific steps of the teaching quality evaluation model based on grey clustering analysis are accounted for. Finally, a case study is introduced to verify the model. This model enlightens a new way to evaluate teaching quality of physical education in colleges and universities.

scholarly journals Evaluation of Two Parts of Lithocarpus polystachyus Rehd. from Different Chinese Areas by Multicomponent Content Determination and Pattern Recognition

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Min Wei ◽  
Yangling Tuo ◽  
Ye Zhang ◽  
Qi Deng ◽  
Cuiying Shi ◽  
...  
Keyword(s):  
Evaluation System ◽  
High Performance ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Dry Weight ◽  
Quantification Analysis ◽  
Development And Utilization ◽  
Array Detection ◽  
Accurate Quantification

The purpose of this work is to establish a new method using high-performance liquid chromatography-diode array detection (HPLC-DAD) with chemometrics analysis to determine the content of catechin, isoquercetin, astragalin, phloridzin, trilobatin, and phloretin for one flavanol and five flavonoids, filter out the key compounds, and evaluate the quality of 26 batches of tender leaves and flower spikes of Lithocarpus polystachyus Rehd. (LP) from ten areas in China. The result showed that the HPLC-DAD method had excellent performance for accurate quantification analysis. S3 (tender leaf from Lushan, Sichuan) had the highest contents for six measured chemicals with trilobatin content of up to 27.82% in dry weight. S22 (flower spike from Liangping, Chongqing) had the highest content of phloridzin (up to 7.28%). All samples were divided into three types based on spatial distribution using principal component analysis. The result showed that the tender leaves and flower spikes from the same areas had many similar properties, and there were significant differences between the samples from different regions. Furthermore, phloridzin and trilobatin were identified as chemical markers for quality evaluation of two parts with different tender leaves and flower spikes of LP from geographical areas by orthogonal partial least squares discrimination analysis. These results will be helpful to establish an effective and comprehensive evaluation system of the development and utilization of LP resources.

scholarly journals Profiling of primary metabolites in grapes of interspecific grapevine varieties: sugars and organic acids

2011 ◽  
Vol 29 (No. 4) ◽  
pp. 361-372 ◽  
Author(s):  
P. Pavloušek ◽  
M. Kumšta
Keyword(s):  
Cluster Analysis ◽  
Organic Acids ◽  
Vitis Vinifera ◽  
Hplc Method ◽  
The Other ◽  
Vitis Vinifera L ◽  
Primary Metabolites ◽  
Primary And Secondary Metabolites ◽  
The Individual

The quality of grapes is determined above all by the contents of the primary and secondary metabolites. The primary metabolites involve sugars and organic acids, and just these compounds are dealt with in this study. Its objective was to analyse and critically evaluate the primary metabolites in new interspecific varieties and, based on a comparison with European varieties of grapevine (Vitis vinifera L.), to find out the similarities and also possible differences between them. The study evaluates and compares 4 conventional varieties of Vitis vinifera with 11 new interspecific cultivars. The contents and compositions of the individual sugars and acids were estimated by means of the HPLC method. Most of these varieties belong to the group with either medium or low content of malic acid, i.e. with a medium to high β ratio. This corroborates the similarity of interspecific varieties to those of V. vinifera. The cluster analysis identified the existence of two interesting groups of varieties: the first one involved the varieties Riesling, Nativa, Marlen, and Kofranka while the other group consisted of varieties Blaufränkisch, Blauer Portugieser, and Laurot. This observation also indicates similarity between Vitis vinifera L. varieties and interspecific cultivars and demonstrates that the contents of the primary metabolites (i.e. sugars and organic acids) are also comparable.

scholarly journals Developing A Sustainable Urban-Environmental Quality Evaluation System in China Based on A Hybrid Model

2019 ◽  
Vol 16 (8) ◽  
pp. 1434 ◽  
Author(s):  
Qigan Shao ◽  
Sung-Shun Weng ◽  
James J.H. Liou ◽  
Huai-Wei Lo ◽  
Hongbo Jiang
Keyword(s):  
Urban Environment ◽  
Environmental Quality ◽  
Environmental Sustainability ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Pollutant Emissions ◽  
The Sustainable Development ◽  
Sustainability Policy ◽  
The Impact

In China, with the acceleration of urbanization, people pay more attention to the quality of urban environment. Air pollution, vegetation destruction, water waste and pollution, and waste sorting have restricted the sustainable development of urban environment. It is important to evaluate the impact of these environmental concerns as a prerequisite to implement an effective urban environmental sustainability policy. The aim of this paper is to establish a system for evaluating sustainable urban environmental quality in China. We extracted six dimensions and 29 criteria for assessing urban sustainable environment. Then, a fuzzy technique and the best worst method were applied to obtain the weights for the dimensions and criteria. Next, grey possibility values were applied to evaluate the sustainable environmental quality of five cities: Beijing, Shanghai, Shenzhen, Guangzhou, and Hangzhou in China. A sensitivity analysis was performed to identify how the ranking of these five cities changed when varying the weights of each criterion. The results show that pollution control, the natural environment, and water management are the three most important dimensions for urban environmental quality evaluation. We suggest that controlling pollutant emissions, strengthening food waste management, improving clean production processes, and utilizing heat energy are the effective measures to improve the urban environment and achieve sustainable urban environmental development.

Sign in / Sign up

Export Citation Format

Share Document