scholarly journals Species Classification and Quality Assessment of Cangzhu (Atractylodis Rhizoma) by High-Performance Liquid Chromatography and Chemometric Methods

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Yong-Gang Xia ◽  
Bing-You Yang ◽  
Qiu-Hong Wang ◽  
Jun Liang ◽  
Di Wang ◽  
...  
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Discriminant Analysis ◽  
Quality Assessment ◽  
High Performance ◽  
Principal Component ◽  
Chemometric Methods ◽  
Species Classification ◽  
Linear Discriminant

Fast and sensitive high-performance liquid chromatography (HPLC) coupled with chemometric methods was utilized to assist in the quality assessment of Cangzhu (Atractylodis Rhizoma). By comparative analysis of chromatographic profiles, twelve common peaks were selected for multivariate analysis. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) of the chromatographic data demonstrated that 16 batches of Cangzhu samples could be welldifferentiated and categorized into two groups, which were closely related to their species (Atractylodes chinensis and A. lancea). By loading plots of PCA and OPLS-DA, the “common peaks” 2, 10, and 12 were defined as “marker peaks,” which were identified as atractylodinol, (4E,6E,12E)-tetradecatriene-8,10-diyne-1,3-diyl diacetate, and atractylodin, respectively. These three “marker peaks” were then simultaneously quantified for further controlling the quality of Cangzhu, which showed acceptable linearity, both intraday and interday precisions (RSD ≤ 2.30%), repeatability (RSD ≤ 2.82%), and the recoveries of the three analytes in the range of 96.57–100.16%, with RSDs less than 1.46%. Finally, linear discriminant analysis (LDA) was successfully used to build predictive models of the group membership based on the contents of three marker peaks. Results of the present study demonstrated that HPLC-based metabolic profiling coupled with chemometric methods and quantificational determination was a very flexible, reliable, and effective way for homogeneity evaluation and quality assessment of traditional Chinese medicine.

Establishment and comparative analysis of HPLC fingerprints of deer tissues

2020 ◽  
Vol 60 (10) ◽  
pp. 1343
Author(s):  
Mengjie Yao ◽  
Haiping Zhao ◽  
Xiaoyan Qi ◽  
Yuan Xu ◽  
Wenyuan Liu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Evaluation System ◽  
High Performance ◽  
Principal Component ◽  
Component Analysis ◽  
Chemometric Methods

Context With the increasing use of velvet antlers (VA) as functional food or traditional Chinese medicine, the quality control has become more and more important. Aims Establish an effective method to provide a way of distinguishing VA from other types of deer tissue. Methods In the present study, 18 samples from three types of deer tissue were analysed on the basis of high-performance liquid chromatography, and a chromatogram of each sample was obtained. Then, these chromatograms were processed using the similarity evaluation system for chromatographic fingerprints of traditional Chinese medicine, to give the fingerprints of three deer tissues. The chemometric methods were used to analyse the fingerprint results, so as to identify the three types of deer tissue. Key results Shared peaks of VA, venison and deer bone were identified using similarity evaluation system. The results showed that, in total, 19 peaks were identified among these three types of deer tissue. Compared with venison, VA lacked three peaks (Numbers 3, 4 and 17); compared with deer bone, VA had six extra peaks (Numbers 2, 5, 8, 9, 14 and 19). The results of chemometric methods showed that different tissue samples could be classified into three categories by using both cluster analysis and principal component analysis. After principal component analysis and partial least-square discrimination analysis, seven peaks were selected, which had significant influence on the classification of VA, venison and deer bone. Conclusions The high-performance liquid-chromatography fingerprints in combination with chemometric methods can be used to effectively distinguish three deer tissue types, namely, VA, venison and deer bone. Implications We believe the method offers a useful tool much needed in the current Chinese velvet market.

Quality Assessment of Sitopaladi Churna Using High-Performance Liquid Chromatography Coupled with Multivariate Analysis

2020 ◽  
Vol 58 (10) ◽  
pp. 961-968
Author(s):  
Nikunj D Patel ◽  
Prajesh N Prajapati ◽  
Niranjan S Kanaki
Keyword(s):  
High Performance Liquid Chromatography ◽  
Multivariate Analysis ◽  
Liquid Chromatography ◽  
Quality Assessment ◽  
High Performance ◽  
Principal Component ◽  
Reversed Phase ◽  
Array Detector ◽  
Marker Compound ◽  
Relative Retention

Abstract “Sitopaladi churna,” a well-known formulation of Ayurveda, is prescribed to treat the disease like Bronchitis, Pneumonia, allergic conditions, viral infection of the respiratory tract and as a natural antioxidant. A novel method based on reversed-phase high-performance liquid chromatography (RP-HPLC) coupled to photodiode array detector was established and validated for sitopaladi churna. Here, HPLC fingerprints data obtained for 28 samples including standard sample were then treated to chemometric analysis like principal component analysis and hierarchical clustering analysis for further analysis to evaluate the differences in market samples of sitopaladi churna. Additionally, one major marker compound, piperine was quantified and it also facilitated for relative retention time. The simulative mean spectrum was also generated. The validation results showed that the developed method was simple, precise and stable. Thus, the developed chromatographic method adjoined with multivariate analysis can be used as an efficient and practical approach for quality assessment of sitopaladi churna.

scholarly journals Quality Assessment of Different Species and Differently Prepared Slices of Zedoray Rhizome by High-Performance Liquid Chromatography and Colorimeter with the Aid of Chemometrics

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Fei Sun ◽  
Xiaolu Yang ◽  
Fei Liu ◽  
Ying Zhang ◽  
Shumei Wang ◽  
...  
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
High Performance ◽  
Pearson Correlation ◽  
Principal Component ◽  
New Approach ◽  
Colour Parameters ◽  
Pearson Correlation Analysis ◽  
Chemometric Tools

In this study, high-performance liquid chromatography (HPLC) and colorimeter were applied to evaluate the quality of different species and differently prepared slices of Zedoray Rhizome samples with the aid of chemometric tools. Fifty batches of Zedoray Rhizome samples from different species and forty-two batches of Zedoray Rhizome samples from differently prepared slices were collected. The quantitative method was developed using HPLC to simultaneously determine the contents of twelve chemical ingredients in Zedoray Rhizome. The colour parameters L, a, and b were measured by a colorimeter. Then, the collected data were analyzed by the principal component analysis and Pearson correlation analysis. The results showed that the proposed method was capable of accurately determining the contents of the twelve chemical ingredients and the colour parameters for the collected samples. There was a dramatic difference in the contents of the chemical ingredients and in the colour parameters among different species and differently prepared slices of Zedoray Rhizome samples. This study reveals that combining HPLC, colorimeter, and chemometric tools can provide a new approach to comprehensively evaluate the quality of Zedoray Rhizome samples.

scholarly journals HPLC Fingerprint Analysis Combined with Chemometrics for Authentication of Kaempferia galanga from Related Species

2018 ◽  
Vol 16 (3) ◽  
pp. 308 ◽  
Author(s):  
Cahya Septyanti ◽  
Irmanida Batubara ◽  
Mohamad Rafi
Keyword(s):  
Principal Component Analysis ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Discriminant Analysis ◽  
Related Species ◽  
High Performance ◽  
Principal Component ◽  
Fingerprint Analysis ◽  
Hplc Fingerprint ◽  
Kaempferia Galanga

Fingerprint analysis using high performance liquid chromatography (HPLC) has been developed for authentication of Kaempferia galanga from related species, such as Kaempferia pandurata and K. rotunda. By comparing the fingerprint chromatograms of K. galanga, K. pandurata and K. rotunda, we could identify K. galanga samples and detect adulteration of K. galanga from K. pandurata and K. rotunda by using their marker peaks. We also combined HPLC fingerprint with chemometrics for discrimination the three species and also for authentication of K. galanga. All the three species and K. galanga adulterated with K. pandurata and K. rotunda were discriminated successfully by using principal component analysis (PCA) and discriminant analysis (DA). This result indicates that HPLC fingerprint analysis in combination with PCA (PC1 = 30.06% and PC2 = 34.74%) and DA (DF1 = 94.59% and DF2 = 3.32%) could be used for authentication of K. galanga samples from the related species.

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