Quantification and Standardization of Andrographolide in Andrographis Paniculata Samples by Validated RP-HPLC and HPTLC Methods.

Andrographis paniculata (family Acanthaceae) is known as Kalmegh, one of the traditionally used important medicinal plant contains several biologically active phytochemical including andrographolide. A. paniculata is broadly used by healthcare practitioners in India and also used in different traditional medicinal system. In this study, the leaves of A. paniculata were collected from West Medinipur, East Medinipur, South 24 Parganas, Purulia and Hooghly district of West Bengal, India. This study aiming towards validation and development of a simple, precise and reproducible reverse-phase high-performance liquid chromatography (RP-HPLC) and high-performance thin layer chromatography (HPTLC) methods for quantification of andrographolide in A. paniculata extracts. The validated RP-HPLC and HPTLC study confirmed that different concentrations of andrographolide content present in the plant samples, which are collected from above different districts of West Bengal, India. The amounts of andrographolide were found to be 2.71% (w/w), 3.19% (w/w), 1.83% (w/w), 1.73% (w/w) and 2.94% (w/w) in RP-HPLC study and 2.13% (w/w), 2.51% (w/w), 1.01% (w/w), 1.25% (w/w) and 2.15% (w/w) in HPTLC study. This precise, reproducible, accurate and specific method can be used for the quantification of andrographolide in kalmegh, as per the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines recommendations.

Estimation of Andrographolides and Gradation of Andrographis paniculata Leaves Using Near Infrared Spectroscopy Together With Support Vector Machine.

Andrographis paniculata (Burm. F) Nees, has been widely used for upper respiratory tract and several other diseases and general immunity for a historically long time in countries like India, China, Thailand, Japan, and Malaysia. The vegetative productivity and quality with respect to pharmaceutical properties of Andrographis paniculata varies considerably across production, ecologies, and genotypes. Thus, a field deployable instrument, which can quickly assess the quality of the plant material with minimal processing, would be of great use to the medicinal plant industry by reducing waste, and quality grading and assurance. In this paper, the potential of near infrared reflectance spectroscopy (NIR) was to estimate the major group active molecules, the andrographolides in Andrographis paniculata, from dried leaf samples and leaf methanol extracts and grade the plant samples from different sources. The calibration model was developed first on the NIR spectra obtained from the methanol extracts of the samples as a proof of concept and then the raw ground samples were estimated for gradation. To grade the samples into three classes: good, medium and poor, a model based on a machine learning algorithm - support vector machine (SVM) on NIR spectra was built. The tenfold classification results of the model had an accuracy of 83% using standard normal variate (SNV) preprocessing.