ASSESSMENT OF EFFECT OF SHODHANA ON PHYTOCHEMICAL AND CHROMATOGRAPHICAL PROFILE OF DIFFERENT LEVELS OF CLASSICAL PROCESSED DANTI (BALIOSPERMUM MONTANUM WILLD.) ROOT

Objective: Ayurveda recommends the use of Danti root after Shodhana (Processing/Purification) where the powder Pippali (Piperlongum Linn.) fruit, honey and Kusha (Desmostachya bippinata Stapf.) leaves are being used. But the additive effect of all these drugs on Danti root are yet to be explored scientifically. Principal component analysis (PCA), a multivariate data analysis technique targeting to assess the discrimination effect of psychic nut, for evaluating the additive effect, can be used to assess the effect of Shodhana on preliminary physicochemical, phytochemical parameters upon four levels of Danti (Baliospermum montanum Willd.) root.Methods: Roots of raw Danti, after proper botanical authentication, were subjected for classically recommended Shodhana procedure and four groups of Danti root like raw Danti (RD), Classical processed Danti root (CPDR), Kusha processed Danti root (KPDR), water processed Danti root (WPDR) were obtained at various levels of Danti Shodhana. Methanolic macerated extracts of all four Danti root groups were subjected for preliminary physicochemical, phytochemical and chromatographic screening. The obtained data were analyzed with the help of the Un-scrambler Camo Software for multivariate data analysis.Results: The methanolic and water extractive value of CPDR group is more than remaining sections holding lower ash value and high-intensity colour reaction during phytochemical screenings of steroid, flavonoid etc.Conclusion: Analysis of PCA technique suggests a similar trend in between RD and KPDR group while CPDR and WPDR on a different in score plot

DISCRIMINANT ANALYSIS OF SHODHANA (PROCESSING) ON BALIOSPERMUM MONTANUM MUELL (DANTI) ROOT SAMPLES BASED ON NEAR INFRARED SPECTROSCOPY AND MULTIVARIATE CHEMOMETRIC TECHNIQUE

Objective: To establish a noticeable and a justifiable identification system to assess the impact of shodhana (processing) on various levels of Baliospermum montanum (Danti) root samples obtained through shodhana (processing technique) in quality agreement based on near-infrared-spectroscopy.Methods: Authenticated raw Danti (R. D) root and various Danti root samples obtained after shodhana (processing) such as water processed Danti root (WPDR), Kusha processed Danti root (KPDR) and classical processed Danti root (CPDR), were dried, pulverized and shifted through eighty meshes. The samples were subjected to NIR spectral detection from 750 to 2500 nm at the interval of 1 nm. The multivariate analysis, principal component analysis (PCA) and hierarchical cluster analysis (HCA) analyzed with the help of Unscrambler and Matlab software.Results: Direct spectral analysis indicated the existence of significant numerical and graphical differences between Danti root samples containing different treatments during processing in respect to CH, OH and NH functional groups. The multivariate PCA algorithom plot allowed a clear segregation of the Danti root samples after various data preprocessing technique onto the hotelling T2 95% confidence limit for principal component 1 and 2. The cluster analysis had shown the extra information on the metabolite profiling of the complex purificatory environment. Conclusion: The present study demonstrates a generic, non-destructive solution to discriminate qualitatively in the sample matrix all the differently pretreated samples in favor of the NIR-sensitive functional group