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Studies on the Application of Artificial Neural Networks in the Development and Evaluation of Directly Compressible Adjuvant
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| Author:
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UPLOADED BY-ADMIN, L. D. PATEL, JIGNESHKUMAR L. PATEL, M. C. GOHEL, SMITA J. GALANI
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| Abstract:
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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.
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| Keyword:
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Artificial Neural Networks; Directly compressible (DC) adjuvant; Co-processed Lactose
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| EOI:
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| DOI:
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