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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

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IJPR included in UGC-Approved List of Journals - Ref. No. is SL. No. 4812 & J. No. 63703

Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Studies on the Application of Artificial Neural Networks in the Development and Evaluation of Directly Compressible Adjuvant

Author: UPLOADED BY-ADMIN, L. D. PATEL, JIGNESHKUMAR L. PATEL, M. C. GOHEL, SMITA J. GALANI
Abstract: The objective of the present investigation was to develop lactose based directly compressible (DC) adjuvant and to use Artificial Neural Networks (ANNs) for its evaluation. Lactose was recrystallized from concentrated aqueous solution in the presence of different percentages of partially hydrolyzed wheat starch. The crystalline products were evaluated for various parameters. The optimized batch of DC adjuvant was evaluated using ANNs. Dissolution study of Nimesulide tablets was carried out in phosphate buffer. Co-processing of lactose with starch significantly improved the flowability of the diluent. The addition of magnesium stearate upto 1.5% yielded satisfactory tablets with respect to crushing strength and friability. Acceptable drug dissolution was shown by the formulated tablets. The tablets of optimized batch exhibited superior friability and crushing strength as compared to that of commercially available diluents. It was concluded that lactose based directly compressible adjuvant can be developed using ANNs.
Keyword: Artificial Neural Networks; Directly compressible (DC) adjuvant; Co-processed Lactose
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