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Natural products have been the source of many active substances in drug discovery. There are several strategies/approaches in the field of biology, drug discovery, molecular and cell biology for identification of bioactive molecules. Metabolomics involves fewer complexities, is more precise and provides more relevant data compared with other techniques. This approach is based on the application of new technologies and provides real-world end points that complement and help in the interpretation of genomic and proteomic data in drug discovery. It has also been proven to be a valuable analytical tool for the identification of secondary metabolites from medicinal plants, particularly for evidence-based development of new phytotherapeutical agents and nutraceuticals. This review outlines the different analytical techniques used to detect and measure the multiplexed metabolites and biomarkers in the herbal field.

A simple, sensitive, reliable and rapid reversed-phase high-performance liquid chromatographic (RP-HPLC) method has been developed and validated for the determination of pitavastatin calcium using paracetamol as internal standard. The chromatographic system consisted of Shimadzu LC-10ATVP Pump, SPD-M10 AVP with PDA detector. Separation was achieved on the phenomenex C 18 (250 x 4.60), 5 μ particle size column in isocratic mode at room temperature. The sample was introduced through an injector valve with a 20 μl, sample loop. 0.5% Acetic acid: Acetonitrile 35:65 (%, v/v), was used as mobile phase with flow rate of 1 ml/min. UV detection was performed at 245 nm. A calibration graph was plotted which showed a linearity range between 1-5 μg/ml with the correlation coefficient of 0.9986. The LOD was 5 ng/ ml, while the LOQ was 20 ng/ml. Validation studies revealed the method is specific, rapid, reliable, and reproducible. To study the validity of the method, recovery studies and repeatability studies were carried out using the same optimum conditions. The system suitability studies were also calculated which includes column efficiency, resolution, capacity factor and peak asymmetrical factor. Therefore the proposed method is reliable, rapid, precise and selective so may be used for the quantitative analysis of pitavastatin calcium.

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