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.

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 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 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.

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.

scholarly journals Quality Evaluation of Atractylodis Macrocephalae Rhizoma Based on Combinative Method of HPLC Fingerprint, Quantitative Analysis of Multi-Components and Chemical Pattern Recognition Analysis

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7124
Author(s):  
Cheng Zheng ◽  
Wenting Li ◽  
Yao Yao ◽  
Ying Zhou
Keyword(s):  
Pattern Recognition ◽  
High Performance ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Principal Component ◽  
Hplc Fingerprint ◽  
Atractylenolide I ◽  
Chemical Pattern ◽  
Pattern Recognition Analysis ◽  
Chemical Pattern Recognition

A method for the quality evaluation of Atractylodis Macrocephalae Rhizoma (AMR) based on high-performance liquid chromatography (HPLC) fingerprint, HPLC quantification, and chemical pattern recognition analysis was developed and validated. The fingerprint similarity of the 27 batches of AMR samples was 0.887–0.999, which indicates there was very limited variance between the batches. The 27 batches of samples were divided into two categories according to cluster analysis (CA) and principal component analysis (PCA). A total of six differential components of AMR were identified in the partial least-squares discriminant analysis (PLS-DA), among which atractylenolide I, II, III, and atractylone counted 0.003–0.045%, 0.006–0.023%, 0.001–0.058%, and 0.307–1.175%, respectively. The results indicate that the quality evaluation method could be used for quality control and authentication of AMR.

scholarly journals Chemical Profile and Multicomponent Quantitative Analysis for the Quality Evaluation of Toad Venom from Different Origins

Molecules ◽  
2019 ◽  
Vol 24 (19) ◽  
pp. 3595 ◽  
Author(s):  
Cao ◽  
Wu ◽  
Pan ◽  
Wang
Keyword(s):  
Quantitative Analysis ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Chemical Compositions ◽  
Hplc Fingerprint ◽  
Reference Information ◽  
Toad Venom ◽  
Different Origins ◽  
Tof Ms

Toad venom (Chansu), a traditional Chinese medicine (TCM), has been widely used for treating various cancer. However, it is considerably difficult to evaluate the quality of Chansu due to its complex chemical compositions. Hence, finding the characteristic ingredients and developing a scientific and comprehensive quality evaluation method are essential for guaranteeing the safety and efficacy of Chansu. In this paper, the chemical composition database of Chansu was successfully established and HPLC-ESI-Q-TOF-MS/MS was applied for chemical profiling of the ingredients in Chansu. In total, 157 compounds were identified, including 22 amino acids, 8 alkaloids, 54 bufogenins, 63 bufotoxins, and 10 other compounds. Furthermore, HPLC fingerprints and quantitative analysis of its multicomponent were successfully developed to evaluate the quality consistency of Chansu from different origins. The results suggested that the HPLC fingerprint of Chansu could be divided into an amino acid and alkaloid region, as well as a bufogenins and bufotoxins region. The fingerprint profile of Chansu from different geographical origins were different, indicating that its quality was affected by the geographical factors. In addition, seven characteristic peaks were selected as the quantitative markers to evaluate the quality of the Chansu. The Kruskal–Wallis test illustrated that the contents of seven bufogenins in Chansu were significantly (p < 0.01) different among different origins. The total contents of the seven compounds ranged from 100.40 to 169.22 mg/g in 20 batches of Chansu samples. This study demonstrated that integrating HPLC-ESI-Q-TOF-MS/MS, HPLC fingerprints, and multicomponent quantitative analysis coupled with chemometrics was a comprehensive and reliable strategy for evaluation of Chansu in both qualitative and quantitative aspects. In addition, our study represented the most comprehensive characterization on the chemical compositions of Chansu, which could provide important reference information for the discovery of potential bioactive compounds.

scholarly journals A Combined Quality Evaluation Method That Integrated Chemical Constituents, Appearance Traits and Origins of Raw Rehmanniae Radix Pieces

2020 ◽  
Author(s):  
Min Gu ◽  
Yiping Yuan ◽  
Zinan Qin ◽  
Nannan Shi ◽  
Yanping Wang ◽  
...  
Keyword(s):  
Quality Control ◽  
High Performance ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Chemical Constituents ◽  
Evaluation Methods ◽  
Shanxi Province ◽  
Chemical Components ◽  
Rehmanniae Radix

Abstract Background The quality control of traditional Chinese medicine (TCM) is a challenge for internationalization of TCM. Modern quality evaluation methods ignore origins and appearance traits, and traditional quality evaluation methods lack quantitative analysis. Therefore, an integrated quality evaluation method is urgent in need. Raw Rehmanniae Radix (RRR) was a widely used TCM. Its quality has caught much attention, and the existing quality evaluation methods have certain limitations. The aim of this study was to establish a comprehensive and practical method for the quality evaluation and control of RRR pieces based on its chemical components, appearance traits and origins.Methods 33 batches of RRR pieces were collected from 6 provinces, high performance liquid chromatography (HPLC) was applied to determine 5 constituents including catalpol, rehmannioside A, rehmannioside D, leonuride and verbascoside in RRR pieces. The appearance traits were qualitatively observed. Furthermore, correlation analysis, principal components analysis (PCA), cluster analysis and t-test were performed to discriminate and evaluate different quality of RRR pieces. Results 33 batches of RRR pieces could be divided into three categories, the samples of Henan province were in a group, the samples from Shandong province and Shanxi province were classified in a group, and the samples from other provinces were divided in a group. Furthermore, the constituents and appearance traits of RRR pieces were significantly different in diverse origins. Conclusions The combined method of chemical components, appearance traits and origins could classify and distinguish different quality of RRR pieces, which could provide a basic reference to quality control of TCM.

scholarly journals Discrimination of the Geographical Origin of the Lateral Roots of Aconitum carmichaelii Using the Fingerprint, Multicomponent Quantification, and Chemometric Methods

Molecules ◽  
2019 ◽  
Vol 24 (22) ◽  
pp. 4124 ◽  
Author(s):  
Lu-Lin Miao ◽  
Qin-Mei Zhou ◽  
Cheng Peng ◽  
Chun-Wang Meng ◽  
Xiao-Ya Wang ◽  
...  
Keyword(s):  
High Performance ◽  
Geographical Origin ◽  
Lateral Roots ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Similarity Analysis ◽  
Diterpenoid Alkaloids ◽  
Linear Discriminant ◽  
Hplc Fingerprint ◽  
Aconitum Carmichaelii

Fuzi is a well-known traditional Chinese medicine developed from the lateral roots of Aconitum carmichaelii Debx. It is rich in alkaloids that display a wide variety of bioactivities, and it has a strong cardiotoxicity and neurotoxicity. In order to discriminate the geographical origin and evaluate the quality of this medicine, a method based on high-performance liquid chromatography (HPLC) was developed for multicomponent quantification and chemical fingerprint analysis. The measured results of 32 batches of Fuzi from three different regions were evaluated by chemometric analysis, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and linear discriminant analysis (LDA). The content of six representative alkaloids of Fuzi (benzoylmesaconine, benzoylhypaconine, benzoylaconine, mesaconitine, hypaconitine, and aconitine) were varied by geographical origin, and the content ratios of the benzoylmesaconine/mesaconitine and diester-type/monoester-type diterpenoid alkaloids may be potential traits for classifying the geographical origin of the medicine. In the HPLC fingerprint similarity analysis, the Fuzi from Jiangyou, Sichuan, was distinguished from the Fuzi from Butuo, Sichuan, and the Fuzi from Yunnan. Based on the HCA and PCA analyses of the content of the six representative alkaloids, all of the batches were classified into two categories, which were closely related to the plants’ geographical origins. The Fuzi samples from Jiangyou were placed into one category, while the Fuzi samples from Butuo and Yunnan were put into another category. The LDA analysis provided an efficient and satisfactory prediction model for differentiating the Fuzi samples from the above-mentioned three geographical origins. Thus, the content of the six representative alkaloids and the fingerprint similarity values were useful markers for differentiating the geographical origin of the Fuzi samples.

A new method to evaluate interlacing yarns

2019 ◽  
Vol 90 (7-8) ◽  
pp. 838-846
Author(s):  
Meng Wang ◽  
Yinlan Zhan ◽  
Leon Yao
Keyword(s):  
Coefficient Of Variation ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Complete Evaluation ◽  
Popular Method ◽  
Modeling Methods ◽  
The Third ◽  
Comparison And Analysis ◽  
Test Algorithm

The theory of purification is proposed in this article. Based on the framework of this theory, several models can be built to give a synthetic quality evaluation of interlacing yarns. In this paper, three models are given. The first one is the most popular method to evaluate the quality of interlacing yarn and we can prove it meets the theory of purification. The second one is modified according to the coefficient of variation. The third one is a new evaluation method. Meanwhile, we give a test algorithm to compare the degree of reflecting common cognition of the three models. From the result of comparison and analysis, the new evaluation method is recommended. It has a comparatively complete evaluation value for every state in universe M. Compared to other modeling methods, this method can give every level of interlacing yarn a relatively pertinent evaluation.

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