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C-SOPS

Center for Structured Organic Particulate Systems

Rutgers University - New Brunswick,

School of Engineering

98 Brett Road, Piscataway, NJ 08854

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Phone: 848-445-6750

Fax: 732-445-6758 

© 2016 by C-SOPS: Center for

Structured Particulate Systems

all rights reserved

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Rutgers University

Purdue University

New Jersey Institute of Technology

University of Puerto Rico at Mayaguez

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    CSOPS
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    BBQ for a Cause: Fundraiser for Puerto Rico relief

    October 2, 2017

    Partner Campus Event: Thermo Fisher Scientific Presenting at Rutgers.

    September 19, 2017

    CSOPS Download: Content from the C-SOPS Regulatory Working Group for Continuous Manufacturing available for download

    September 18, 2017

    Partner Campus Event: Natoli Presenting at Rutgers.

    August 9, 2017

    CSOPS Download: Content from the C-SOPS Industrial Advisory Board (IAB) Meeting Spring 2017 available for download

    April 5, 2017

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    Recent Posts

    Partner Campus Event: Thermo Fisher Scientific Presenting at Rutgers.

    September 19, 2017

    Webinar Series: New Methods for Extracting Information from Continuous Manufacturing Processes Through Real Time Spectroscopic Analysis

    October 5, 2016

    BBQ for a Cause: Fundraiser for Puerto Rico relief

    October 2, 2017

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    Featured Posts
    Webinar Registration

    Webinar Series Registration: Enabling real time release testing by NIR prediction of dissolution of tablets by Continuous Direct Compression (CDC)

    July 25, 2016

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    Pallavi Pawar, Ph.D.

    C-SOPS Webinar Series Presents

     

    Enabling real time release testing by NIR
    prediction of dissolution of tablets by
    Continuous Direct Compression (CDC)


    Pallavi Pawar, Ph.D. 
    Wednesday July 27th 2016 @ 1PM EST

     

    The methodology enables real-time release testing. Tablets were made at a target drug concentration of 9% APAP, containing 90% lactose and 1% Magnesium Stearate, and at a target compression force of 24 kN. A model for predicting dissolution profiles was developed using a fractional factorial experimental design built around this targeted condition. This experimental design consisted of a 3^(4-1) fractional design resulting into a total of 27 testing conditions with additional repeated center points. Four variables were included: API concentration (low, medium, high), Blender speed (150rpm, 200rpm, 250rpm), feed frame speed (20rpm, 25rpm, 30rpm) and compaction force (8KN, 16KN, 24KN). The tablets thus obtained were scanned at-line in transmission mode using Near IR spectroscopy. The dissolution profiles were described using two approaches, a model-independent “shape and level” method, and a model-dependent approach based on Weibull’s model. Multivariate regression was built between the NIR scores as the predictor variables and the dissolution profile parameters as the response. The model successfully predicted the dissolution profiles of the individual tablets (similarity factor, f_2 ~72) manufactured at the targeted set point. 
     
    Pallavi Pawar is a post- doctoral associate in the Department of Chemical and Biochemical Engineering at Rutgers University. She received her PhD in Chemical Engineering from Rutgers University in 2016. Her area of expertise includes Real Time Release testing for tablets obtained from batch and continuous processing. She completed her Bachelor’s degree in Chemical Technology from Institute of Chemical Technology, Mumbai in 2010.