NEAR-INFRARED SPECTROSCOPY: A POTENTIAL NEW MEAN OF ASSESSING MULTICOMPONENT POLYHERBAL FORMULATION ON WAY BEFORE AND AFTER EXTRACTION Original Article JAYANTA KUMAR MAJI PhD Scholar (Pharmaceutical Chemistry), I.P.G.T & R.A. Gujarat Ayurveda University Email: jkmaji67@gmail.com Received: 15 Feb 2017 Revised and Accepted: 20 Mar 2017 ABSTRACT Objective: To establish a real-time sustainable identification system of polyherbal powder and extract in favor of near-infrared-spectroscopy (NIR) on applying the chemometrics technique principal component analysis (PCA) and hierarchical cluster analysis (HCA) based the fundamental attribution of integrity (similarities) and fuzziness (differences). Methods: The authenticated individual, polyherbal pulverized powders and the soxhleted dry extracts containing heart-leaved moonseed, Indian Kino, Indian Liac, Ram’s horn, Fenugreek, blackberry were sifted through eighty meshes. The samples were subjected to NIR spectral detection from 750 to 2500 nm at the interval of 1 nm. The multivariate data were analyzed with the help of the Unscrambler and Matlab software. The powder microscopy of polyherbal powder for identification was carried out by following routine procedure. Results: Original NIR spectra of polyherbal medicament powder and extract showed characteristic hydroxyl hump peaking at about 2200 nm by the naked eye. Two classes remedy discriminated through the first order derivative transformation and natural grouping by PCA, HCA in context relative intensity of the NIR sensitive registered generic CH, OH and NH functional groups. Conclusion: Chemometric method PCA and HCA is established as a reference library which significantly influences real-time quality monitoring of uncontrolled natural variation plant kingdom. NIR analysis is useful because a sample may be rapidly tested without destroying its integrity. Keywords: Chemometrics, Multivariate, PCA, Polyherbal, Discrimination © 2017 The Authors. Published by Innovare Academic Sciences Pvt Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) DOI: http://dx.doi.org/10.22159/ijpps.2017v9i5.17791 INTRODUCTION This is a part of a long-term research effort aimed at establishing a sustainable identification system in unavoidable cultivated and wild harvesting raw materials of plant origin in India. This paper presents a detailed study on the multivariate fingerprinting comparison of both herbal powders and extracts in favor of nondestructive method i.e. near infrared spectroscopy. The objective of the study was to determine diffused reflectance on the electromagnetic spectrum ranging from 700-2500 nm (12821-4000 cm- 1 The upcoming trend, NIR spectroscopy has got wide acceptance within the pharmaceutical industry for raw material testing, intermediate product, finished product quality control and process monitoring [1, 2]. The major advantages of NIR spectroscopy is due to a direct result other than any analytical technique. The NIR region is unique due to forbidden transition, highly transmitting window to radiation compare to allowed transition responsible neighbouring region such as UV, VIS, mid-IR. Many bands arising from overtone and combination mode overlap each other, due to fermi resonance appear in the region. The radiation can penetrate into powder materials like herbal powder, dry extract and the diffusely reflected or transmitted radiation will provide a vast amount of spectral information about the sample [3]. Unfortunately, the overlap of these overtone and combination bands strongly decreases the specificity of NIR spectroscopy which was the main reasons to neglect for using conservative spectroscopists such a long time. But the availability of chemometric evaluation procedures for qualitative discrimination and quantitative determination is new opportunity to overcome data evaluation. ) of authenticated herbal and polyherbal samples; analyze highly absorbing functional group (alkyl, phenyls, amines, thiols, hydroxyls, acids, esters etc.) in favor of dried pulverized fine particles and plant extracts of respective contents, which are stem of Tinospora cordifolia (Willd), seed of Syzigium cumini (Skeels), heartwood of Pterocarpus mersupium R, Leaf of Azadirachta indica A. Juss, seed of Trigonella foenum-graecum L, leaf of Marsdenia sylvestre R. Br; determine distinguishing character to compute principal component analysis after preprocessing of the raw diffuse reflection data using mathematical transformation; establish library which significantly influence real-time quality monitoring and discuss easy unambiguous identifying tool to qualify products from uncontrolled natural variation plant kingdom. On the other way, the natural product has complex matrices that may contribute to their benefit of use. It also fulfils all the regulatory demands as any other “ chemically ’’ raw materials and finished product materials 21 CFR 11 guidelines, food and pharma GMP guidelines, USP chapter 1119 [4]. With NIR spectroscopy, the pharmaceutical industry will move one step closer to “Zero defect” quality control. Here the spectra taken from a sample are representative of the sample as a whole. Since the drug is used as a whole there is no need for extensive sample preparation. NIR analysis is useful because a sample may be rapidly tested without destroying its integrity. Rubinovitz studied a variety of botanicals including chickweed, echinacea, golden seal, echinea root, goldenseal herb, golden seal root, horsetail and St. John’s wort. The clustering algorithm permitted the reliable use of subtle differences in the powder spectra to identify each type of powder and to accurately distinguish it from other powders [5]. Applying multivariate chemometric cluster analysis easily separated materials of raw burdock root powder and concentrated burdock root extract [6]. Basic information exists in literature that indicates the frequencies (Wavelength) of bond absorption occurring for the generic functional group as well as those functionalities most important to the NIR analyst. In the light of the above background, the present study was designed and undertaken to discriminate the individual ‘drug’ both power and ‘extract’ form along with polyherbal formulation in favor of multivariate discrimination chemometric analysis. MATERIALS AND METHODS Plant materials and chemicals Leaves of Meshashringi (Marsedenia sylvestre (Retz.) P. I. Forst; Asclepiadaceous) and Nimba (Azadirachta indica A. Juss. Meliaceae), International Journal of Pharmacy and Pharmaceutical Sciences ISSN- 0975-1491 Vol 9, Issue 5, 2017