scholarly journals Quality Control Methodology and Their Application in Analysis on HPLC Fingerprint Spectra of Herbal Medicines

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Zou Hua-Bin ◽  
Du Ai-Qin ◽  
Zhang Xin-Ling ◽  
Wei Pei-Hai ◽  
Lu Wei-Jie ◽  
...  

As traditional Chinese medicine (TCM) is gradually accepted by many countries, people pay much attention to the quality of herbal medicines. Because of the significant variation in active components in them, the quality control of herbal medicines is a very important issue. Nowadays, high-performance liquid chromatography (HPLC) fingerprint spectra (FPS) are widely used in identification and quality control of herbal medicines. This paper will analyze the methodology and their application in identifying and evaluating herbal medicines by means of HPLC FPS, which includes simple comparing, clustering, principal component analysis (PCA), and similarity analysis methods.

Molecules ◽  
2019 ◽  
Vol 24 (22) ◽  
pp. 4124 ◽  
Author(s):  
Lu-Lin Miao ◽  
Qin-Mei Zhou ◽  
Cheng Peng ◽  
Chun-Wang Meng ◽  
Xiao-Ya Wang ◽  
...  

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.


2019 ◽  
Vol 14 (12) ◽  
pp. 1934578X1988807 ◽  
Author(s):  
Li Wu ◽  
Zi-Hui Ni ◽  
Yun-Cong Xu ◽  
Xi-Qiong Zhang ◽  
Sha-Li Du ◽  
...  

Dahuang Zhechong Pill (DHZCP) has been widely used in the treatment of hepatocarcinoma in China. The aim of our study was to identify the characteristic components of DHZCP. First, HPLC fingerprint of DHZCP was established to analyze the common components of 14 batches of DHZCP samples, which were purchased from different manufacturers. The results of HPLC fingerprint detected 164 peaks in these 14 batches of DHZCP. Through similarity analysis, cluster analysis, and principal component analysis, we identified 20 common components upon which to conduct quantitative analysis conducted by an HPLC method. After that, a cytotoxicity test was carried out to screen the active components in DHZCP. The results showed that hypoxanthine, rhein, emodin, aloe emodin, and wogonin are the active components of DHZCP for the treatment of hepatocarcinoma, as they have significant inhibitory effect against the activity of drug-resistant hepatocarcinoma cells (SMMC-7721/DOX) than others.


Molecules ◽  
2019 ◽  
Vol 24 (16) ◽  
pp. 2920 ◽  
Author(s):  
Si-Tong Zhou ◽  
Kai Luan ◽  
Lian-Li Ni ◽  
Ying Wang ◽  
Shi-Meng Yuan ◽  
...  

As a folk medicine of the Jingpo minority in Yunnan province, the venom of Vespa magnifica has been commonly used for the treatment of rheumatoid arthritis. Quality standardization of the wasp venom is a necessary step for its pharmaceutical research and development. To control the quality of the wasp venom, a method based on high-performance liquid chromatography (HPLC) was developed for chemical fingerprint analysis. In the chromatographic fingerprinting, chemometrics procedures, including similarity analysis (SA), hierarchical clustering analysis (HCA), and principal component analysis (PCA), were applied to classify 134 batches (S1–S134) of wasp venom from different origins. The HPLC fingerprint method displayed good precision (Relative standard deviation, RSD < 0.27%), stability (in 16 h, RSD < 0.34%), and repeatability (RSD < 1.00%). Simultaneously, four compounds (VMS1, VMS2, VMS3, and VMS4) in the wasp venom were purified and identified. VMS1 was 5-hydroxytryptamine, and the other compounds were three peptides that were sequenced as follows: Gly–Arg–Pro–Hyp–Gly–Phe–Ser–Pro–Phe–Arg–Ile–Asp–NH2 (VMS2), Ile–Asn–Leu–Lys–Ala–Ile–Ala–Ala–Leu–Ala–Lys–Lys–Leu–Leu–NH2 (VMS3), and Phe–Leu–Pro–Ile–Ile–Gly–Lys–Leu–Leu–Ser–Gly–Leu–Leu–NH2 (VMS4). The quantifications for these components were 110.2 mg/g, 26.9 mg/g, 216.3 mg/g, and 58.0 mg/g, respectively. The results of this work indicated that the combination of the chemical fingerprint and quantitative analysis offers a reasonable way to evaluate the quality of wasp venom.


2021 ◽  
Vol 9 (3) ◽  
pp. 48-58
Author(s):  
Yuan-Kai Tu ◽  
◽  
Jui-Sheng Lai ◽  
Bo-Jein Kuo ◽  
Ruo-Han Jian ◽  
...  

Herbs are rich in the active ingredients of drugs for preventing or treating various disorders. However, conventional bioactivity-guided separation is time and labor-intensive and neglects the additive effect of multiple components. These problems hinder the development of new medicines from natural products. This study established a chemometric analysis method that integrates processes based on the spectrum-effect relationship for the rapid identification of the primary active components of a plant. The high-performance liquid chromatography (HPLC) fingerprints of 171 Salvia miltiorrhiza extracts (SMEs) with varied constituent profiles were analyzed. Chemometric analysis was performed to establish an HPLC fingerprint–bioactivity relationship to explore the components of SMEs that contribute to the antioxidant activity and cytotoxicity effect, respectively. The results indicated that the developed strategy can be used to identify components largely contributing to particular bioactivities and re-evaluate the efficacy of previously neglected components. The present study identified not only the primary active components of S. miltiorrhiza but also the optimal ratios of constituents, validating the method for use in the future investigation and development of herbal medicines. Keywords: Chemometric, herb, antioxidant, cytotoxicity, fingerprint, Salvia miltiorrhiza.


2020 ◽  
Vol 32 (1) ◽  
pp. 28-33
Author(s):  
Yanqin Zhu ◽  
Ping Du ◽  
Shaojun Huang ◽  
Qinhong Yin ◽  
Yaling Yang

A fingerprint analysis method was established for the quality control of Moringa seed shells by high-performance liquid chromatography with diode array detection (HPLC–DAD). The HPLC–DAD separation was performed on a Thermo Hypersil Gold C18 (4.6 mm × 250 mm, 5 μm) column by gradient elution with acetonitrile–water as mobile phase. The fingerprint of Moringa seed shells was established with good precision, reproducibility, and stability obtaining within 60 min, and 13 common peaks in the fingerprint were designed. Similarity analysis, principal component analysis (PCA), and hierarchical clustering analysis (HCA) were carried out to analyze the obtained fingerprints. The similarity among 11 batches of samples in addition to No. 5 and 6 was no less than 0.92. Eleven samples could be classified into 2 clusters. The HPLC fingerprint technology and application of chemical pattern recognition can provide a more comprehensive reference for the quality control of medicinal plants.


2012 ◽  
Vol 95 (4) ◽  
pp. 1053-1058 ◽  
Author(s):  
Liu Yang ◽  
Zhijun Su ◽  
Xing Zeng ◽  
Xiong Li ◽  
Zhifeng Wu ◽  
...  

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.


2017 ◽  
Vol 17 (1) ◽  
pp. 79
Author(s):  
Hanifullah Habibie ◽  
Rudi Heryanto ◽  
Mohamad Rafi ◽  
Latifah Kosim Darusman

Herbal medicines become increasingly popular all over the world for preventive and therapeutic purposes. Quality control of herbal medicines is important to make sure their safety and efficacy. Chromatographic fingerprinting has been accepted by the World Health Organization as one reliable strategy for quality control method in herbal medicines. In this study, high-performance liquid chromatography fingerprint analysis was developed as a quality control method for glucofarmaka antidiabetic jamu. The optimum fingerprint chromatogram were obtained using C18 as the stationary phase and linear gradient elution using 10–95% acetonitrile:water as the mobile phase within 60 minutes of elution and detection at 210 nm. About 20 peaks were detected and could be used as fingerprint of glucofarmaka jamu. To evaluate the analytical performance of the method, we determined the precision, reproducibility, and stability. The result of the analytical performance showed reliable results. The proposed method could be used as a quality control method for glucofarmaka antidiabetic jamu and also for its raw materials.


2009 ◽  
Vol 92 (4) ◽  
pp. 1016-1020 ◽  
Author(s):  
Sohan S Chitlange ◽  
Prajakta S Kulkarni ◽  
Dada Patil ◽  
Bhushan Patwardhan ◽  
Rabindra K Nanda

Abstract Because Ayurvedic herbal preparations contain a myriad of compounds in complex matrixes, it is difficult to establish quality control standards for raw materials and to standardize finished Ayurvedic drugs. A novel, accurate, and valid fingerprint method was developed using HPLC for quality control of a traditional Ayurvedic Arjuna churna formulation, which is used as a cardiotonic drug. Comprehensive comparison of chromatograms of standardized formulation of Arjuna churna and marketed formulations revealed eight characteristic peaks in chromatograms, which unambiguously confirmed the presence of authentic raw material used in the formulation on the basis of their retention time values and UV data. An HPLC fingerprint was also developed for total sapogenins present in Terminalia arjuna. The six common peaks observed in chromatograms of isolated sapogenins, standardized formulations, and marketed formulations can serve as a quality control tool for qualitative estimation of total saponin glycosides present in an Arjuna churna formulation.


Molecules ◽  
2020 ◽  
Vol 25 (11) ◽  
pp. 2514
Author(s):  
Bingbing Liu ◽  
Tiantian Hu ◽  
Weidong Yan

A simple and fast high-performance liquid chromatography (HPLC) fingerprint method combining reference standard extract for the identification of bilberry extract was developed and validated. Six batches of bilberry extract collected from different manufactures were used to establish the HPLC fingerprint. Other berry extracts—such as blueberry extracts, mulberry extracts, cranberry extracts, and black rice extracts—were also analyzed for their HPLC chromatograms. The fingerprints of five batches of bilberry extract showed high similarities, while one batch was distinguished from others. Additionally, the content of anthocyanin Cyanidin-3-O-glucoside (Cy-3-glc) in each berry extract was analyzed and compared. The results indicate that this HPLC fingerprint method, combining reference standard extracts, could be used for the authentication and quality control of bilberry extracts.


2015 ◽  
Vol 10 (1) ◽  
pp. 1934578X1501000 ◽  
Author(s):  
Wangping Deng ◽  
Tongtong Xu ◽  
Min Yang ◽  
Yajun Cui ◽  
De-an Guo

A high performance liquid chromatographic (HPLC) fingerprint is commonly used for quality consistency evaluation of herbal medicines. Recently, an improved chromatographic technique resulted in ultra high performance liquid chromatography (UHPLC), which could provide higher resolution in less time under higher pressure using finer particles (less than 2μm) of stationary phase. A simple and sensitive method was developed and validated for fingerprint analysis of Penthorum chinense Pursh (PC), with the simultaneous determination of seven components using UPLC coupled with a diode-array detector (DAD). It took less than 20 min for analysis of one sample. Both similarity analysis and principle components analysis (PCA) were employed to evaluate the quality consistency of 17 sample batches. The analysis was performed on a Waters ACQUITY UPLC HSS T3 (2.1 × 150 mm, 1.7 μm) column, which was maintained at 45°C and the eluents were monitored with DAD at 270 nm. A gradient elution with acetonitrile and water containing 0.075% phosphoric acid was used. The solvent flow rate was 0.4 mL/min. Standard calibration curves showed good linear behavior (R2>0.9994) in the range of 0.20-337.05 μg/mL. Acceptable repeatability (RSD<0.61%), reproducibility (RSD<2.72%), stability (RSD<1.59%) and recovery in the range of 94.7%-102.9% were obtained (precision and accuracy). The validated method was successfully applied to evaluate the quality of 21 samples of PC.


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