scholarly journals Development of Quality Control Method for Glucofarmaka Antidiabetic Jamu by HPLC Fingerprint Analysis

2017 ◽  
Vol 17 (1) ◽  
pp. 79
Author(s):  
Hanifullah Habibie ◽  
Rudi Heryanto ◽  
Mohamad Rafi ◽  
Latifah Kosim Darusman
Keyword(s):  
Quality Control ◽  
High Performance ◽  
Control Method ◽  
Herbal Medicines ◽  
Analytical Performance ◽  
World Health ◽  
Fingerprint Analysis ◽  
Hplc Fingerprint ◽  
Quality Control Method ◽  
The World

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.

Development of HPLC Fingerprint Analysis of Traditional Diabetes Herbal Jamu Diabetes Plant Materials

2014 ◽  
Vol 68 (1) ◽  
Author(s):  
Gholamhossein Shams ◽  
Hassan Fahmi Ismail ◽  
Teh Liam Chee ◽  
M Abbas Ali ◽  
Fadzilah Adibah Abdul Majid ◽  
...  
Keyword(s):  
High Performance ◽  
Herbal Medicines ◽  
Fingerprint Analysis ◽  
Chromatographic Fingerprint ◽  
Plant Materials ◽  
Hplc Fingerprint ◽  
Herbal Formulation ◽  
Marker Compounds ◽  
Herbal Formulations

Selective and efficient analytical methods are required not only for quality assurance but also for authentication of herbal formulations. In the present study, high-performance liquid chromatography (HPLC) detection was developed for chromatographic fingerprint analysis of the extract from grounded plant materials of Jamu Diabetes (JD), a well known herbal formulation in Malaysia. The bioactive markers rosmarinic acid, curcumin, cinnamaldehyde and andrographolide were identified from the methanol/water (80:20) extract of JD materials. The data presented in this study showed that the developed method is simple, sensitive and specific for simultaneous determination of the indicated marker compounds either qualitatively or quantitatively, and may be used as a fingerprint profile for the standardization of extractives or herbal medicines from herbal formulation JD materials.

Free Amino Acids Fingerprint Analysis for the Quality Evaluation of Oriental Latrine Fly Larvina by RP-HPLC Pre-Column Derivatization Method

2013 ◽  
Vol 781-784 ◽  
pp. 1842-1846
Author(s):  
Yu Ping Wu ◽  
Fu Jiang Chu ◽  
Xiao Bao Jin ◽  
Wen Bin Liu ◽  
Yin Ye Xu ◽  
...  
Keyword(s):  
Free Amino ◽  
High Performance ◽  
Quality Evaluation ◽  
Control Method ◽  
Gradient Elution ◽  
Fingerprint Analysis ◽  
Chromatographic Fingerprint ◽  
Rp Hplc ◽  
Quality Control Method

A simple and reliable method of high-performance liquid chromatography with pre-column derivatization was developed to evaluate the quality of Oriental Latrine Fly Larvina through establishing chromatographic fingerprint. The separation was performed on a welch Ultimate XB-C8 column with a liner gradient elution of acetonitrile and acetate buffer. The developed method was validated by precision, stability and recovery. This study indicated that the chromatographic fingerprint analysis can be readily utilized as a quality control method for oriental latrine fly larvina.

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 ◽  
...  
Keyword(s):  
Quality Control ◽  
Significant Variation ◽  
High Performance ◽  
Herbal Medicines ◽  
Principal Component ◽  
Similarity Analysis ◽  
Active Components ◽  
Hplc Fingerprint ◽  
Control Methodology

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.

Chemical Fingerprint Analysis and Simultaneous Determination of Nucleosides and Amino Acids in Kang Fu Xin Liquid by High Performance Liquid Chromatography with Diode Array Detector

2020 ◽  
Vol 16 (7) ◽  
pp. 831-843
Author(s):  
Yuwen Wang ◽  
Shuping Li ◽  
Liuhong Zhang ◽  
Shenglan Qi ◽  
Huida Guan ◽  
...  
Keyword(s):  
Amino Acids ◽  
Quality Control ◽  
Uric Acid ◽  
Control Method ◽  
Principal Component ◽  
Gradient Elution ◽  
Hplc Method ◽  
Array Detector ◽  
Fingerprint Analysis ◽  
Wavelength Switching

Background and Objective: Kang Fu Xin liquid (KFX) is an official preparation made from the ethanol extract product from P. Americana. The present quality control method cannot control the quality of the preparation well. The aim of the present study is to establish a convenient HPLC method for multicomponents determination combined with fingerprint analysis for quality control of KFX. Methods: An HPLC-DAD method with gradient elution and detective wavelength switching program was developed to establish HPLC fingerprints of KFX, and 38 batches of KFX were compared and evaluated by similarity analysis (SA), hierarchical clustering analysis (HCA), and principal component analysis (PCA). Meanwhile, six nucleosides and three amino acids, including uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan in KFX were determined based on the HPLC fingerprints. Results: An HPLC method assisted with gradient elution and wavelength switching program was established and validated for multicomponents determination combined with fingerprint analysis of KFX. The results demonstrated that the similarity values of the KFX samples were more than 0.845. PCA indicated that peaks 4 (hypoxanthine), 7 (xanthine), 9 (tyrosine), 11, 13 and 17 might be the characteristic contributed components. The nine constituents in KFX, uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan, showed good regression (R2 > 0.9997) within test ranges and the recoveries of the method for all analytes were in the range from 96.74 to 104.24%. The limits of detections and quantifications for nine constituents in DAD were less than 0.22 and 0.43 μg•mL-1, respectively. Conclusion: The qualitative analysis of chemical fingerprints and the quantitative analysis of multiple indicators provide a powerful and rational way to control the KFX quality for pharmaceutical companies.

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