Validated HPLC-UV method for the determination of berberine in raw herb Daruharidra (Berberis aristata DC), its extract, and in commercially marketed Ayurvedic dosage forms
Dabur Research and Development Centre, Dabur India Limited, Plot No.22, Site IV, Sahibabad-201 010, Ghaziabad (U.P.), India. International journal of Ayurveda research
10/2010; 1(4):243-6. DOI: 10.4103/0974-7788.76789
A new, simple, sensitive, selective, and precise high-performance liquid chromatography (HPLC) method for analysis of berberine in crude plant material, herbal extract, and ayurvedic dosage forms was developed and validated. The stationary phase was inert sil C(18) column The mobile phase consisting of acetonitrile (HPLC Grade) and potassium dihydrogen phosphate buffer (pH 2.5) in a gradient flow was used.The column was equilibrated with the mobile phase (flow rate 1.0 ml/min); elution was monitored at 346 nm. The linear regression analysis data for the calibration plots showed good linear relationship, with r(2)= 0.9942 in the concentration range of 16380-30420 μg/ml with respect to the peak area. The method was validated for specificity, precision, recovery, and linearity according to the International Conference on Harmonization guidelines. Statistical analysis of the data showed that the method is reproducible and selective for the estimation of berberine.
Available from: Nutan Kaushik
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ABSTRACT: The genus Berberis is well known for its diversity and pharmacological uses in traditional medicine system since ancient time. Exploring this medicinal plant with more prominence is the need of present day medicinal system. The present review highlighted the phytochemical and pharmacological studies reported from genus Berberis over the last two decades.
Available from: PubMed Central
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ABSTRACT: As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information of
, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines.
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