Comparative study on the predictability of statistical models (RSM and ANN) on the behavior of optimized buccoadhesive wafers containing Loratadine and their in vivo assessment-Reference-Cited by-同舟云学术

Comparative study on the predictability of statistical models (RSM and ANN) on the behavior of optimized buccoadhesive wafers containing Loratadine and their in vivo assessment

Published:2014-07-03 Issue:3 Volume:23 Page:1016-1027
ISSN:1071-7544
Container-title:Drug Delivery
language:en
Short-container-title:Drug Delivery

Author:

Chakraborty Prithviraj¹,Parcha Versha²,Chakraborty Debarupa D.¹,Ghosh Amitava¹

Affiliation:

1. Bengal College of Pharmaceutical Sciences and Research, West Bengal University of Technology, B.R.B. Sarani, Durgapur, West Bengal, India and

2. S. Bhagwan Singh PG Institute of Biomedical Sciences and Research, Balawala, Dehradun, Uttarakhand, India

Publisher

Informa UK Limited

Subject

Pharmaceutical Science,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.3109/10717544.2014.930759

Reference27 articles.

1. Development and in vitro evaluation of an acid buffering bioadhesive vaginal gel for mixed vaginal infections

2. Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

3. In vitro drug release studies of polymeric freeze-dried wafers and solvent-cast films using paracetamol as a model soluble drug

4. Optimization of a Granulation Procedure for a Hydrophilic Matrix Tablet Using Experimental Design

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