TY - JOUR AU - Rout, Siba Prasad AU - Acharya, Rabinarayan AU - Maji, Jayanta Kumar PY - 2017/07/01 Y2 - 2024/03/28 TI - DISCRIMINANT ANALYSIS OF SHODHANA (PROCESSING) ON BALIOSPERMUM MONTANUM MUELL (DANTI) ROOT SAMPLES BASED ON NEAR INFRARED SPECTROSCOPY AND MULTIVARIATE CHEMOMETRIC TECHNIQUE JF - International Journal of Pharmacy and Pharmaceutical Sciences JA - Int J Pharm Pharm Sci VL - 9 IS - 7 SE - Original Article(s) DO - 10.22159/ijpps.2017v9i7.18272 UR - https://journals.innovareacademics.in/index.php/ijpps/article/view/18272 SP - 130-135 AB - <p><strong>Objective: </strong>To establish a noticeable and a justifiable identification system to assess the impact of <em>shodhana</em> (processing) on various levels of <em>Baliospermum montanum (Danti) </em>root samples obtained through <em>shodhana</em> (processing technique) in quality agreement based on near-infrared-spectroscopy.</p><p><strong>Methods: </strong>Authenticated raw <em>Danti </em>(R. D) root and various <em>Danti</em> root samples obtained after <em>shodhana </em>(processing) such as water processed<em> Danti</em> root<em> </em>(WPDR),<em> Kusha</em> processed<strong> </strong><em>Danti </em>root<em> </em>(KPDR)<em> </em>and<em> </em>classical processed<em> Danti </em>root<em> </em>(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.</p><p><strong>Results: </strong>Direct spectral analysis indicated the existence of significant numerical and graphical differences between <em>Danti</em> 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 <em>Danti</em> 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. <strong></strong></p><p><strong>Conclusion: </strong>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.</p> ER -