Optimization and Evaluation of Time-Dependent Tablets Comprising an Immediate and Sustained Release Profile Using Artificial Neural Network

Xie, Huijun; Gan, Yong; Ma, Suwei; Gan, Li; Chen, Qinghua

doi:10.1080/03639040701657701

Cited by 15 publications

(5 citation statements)

References 14 publications

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“…The transit time of small intestine is 2–4 h 29 . Based on this, time-dependent delivery system is designed to control the drug release sites by coating immediate-release drug core with sustained-release materials, like ethylcellulose 30 . Substantial bacterial enzymes exist in terminal ileum and colon, like azoreductases, polysaccharidases, nitroreductase 31 , 32 .…”

Section: General Considerations Of Ibd Targeted Therapymentioning

confidence: 99%

Receptor-mediated targeted drug delivery systems for treatment of inflammatory bowel disease: Opportunities and emerging strategies

Liu

Gao

Hong-guo

et al. 2021

Acta Pharmaceutica Sinica B

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Inflammatory bowel disease (IBD) is a chronic intestinal disease with painful clinical manifestations and high risks of cancerization. With no curative therapy for IBD at present, the development of effective therapeutics is highly advocated. Drug delivery systems have been extensively studied to transmit therapeutics to inflamed colon sites through the enhanced permeability and retention (EPR) effect caused by the inflammation. However, the drug still could not achieve effective concentration value that merely utilized on EPR effect and display better therapeutic efficacy in the inflamed region because of nontargeted drug release. Substantial researches have shown that some specific receptors and cell adhesion molecules highly expresses on the surface of colonic endothelial and/or immune cells when IBD occurs, ligand-modified drug delivery systems targeting such receptors and cell adhesion molecules can specifically deliver drug into inflamed sites and obtain great curative effects. This review introduces the overexpressed receptors and cell adhesion molecules in inflamed colon sites and retrospects the drug delivery systems functionalized by related ligands. Finally, challenges and future directions in this field are presented to advance the development of the receptor-mediated targeted drug delivery systems for the therapy of IBD.

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Section: General Considerations Of Ibd Targeted Therapymentioning

confidence: 99%

Receptor-mediated targeted drug delivery systems for treatment of inflammatory bowel disease: Opportunities and emerging strategies

Liu

Gao

Hong-guo

et al. 2021

Acta Pharmaceutica Sinica B

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“…The successful manufacture of a series of tablets with doses ranging from 2.06mg to 37.48mg, displaying immediate and adjusted release profiles, demonstrates the promise of this technology in the development of dosage forms on-demand, with the prospect of modifying the dose and release actions by changing medication loading and tablet measurements. Xie and coauthors [49] studied artificial neural network optimization and evaluation of sustained and immediate-release tablets. The use of the ANN model is mainly helpful for optimized various released properties and complex combination forms.…”

Section: Anns In the Development Of Tabletsmentioning

confidence: 99%

Artificial Neural Networks and Neuro-Fuzzy Models: Applications in Pharmaceutical Product Development

Singh

Kaur

et al. 2023

Braz. arch. biol. technol.

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Pharmaceutical product development is a challenging, time-consuming, and cost-intensive process. Computational methods could be used for assistance and speed up the industrial process. Artificial neural networks (ANN) and neuro-fuzzy models are tools of artificial intelligence that can be used to develop pharmaceutical products to enhance productivity, quality, and consistency. In the present review, the working principle of ANN and neuro-fuzzy models has been discussed, elaborating on their different types, advantages, and disadvantages. Furthermore, the application of these computational techniques in developing pharmaceutical products like suspension, emulsion, microemulsion, nanocarriers, tablets, transdermal preparations, etc., has been discussed in detail.

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“…The best significant fitted model was analyzed by ANOVA for the prediction of particle size as the model predicting the capability of responses was determined as follow; Y2>Y1 which was based on small p-values and high values of F-ratios. In addition, lack of fit values could be used to inspect the efficiency of model taking into consideration of their p-values where non-significant values of lack of fit were good and fitted the satisfactory model [19] . The values of lack of fit for the observed dependent responses were 1.00 and 0.6314 with p-values of 0.0072 and <0.0001 for Y1 and Y2 respectively (Table 3).…”

Section: Experimental Designmentioning

confidence: 99%

Application of Box-Behnken Design for Formulation Parameters of Eslicarbazepine Tablets

Kumari¹,

Yarraguntla²,

Sharmila³

et al. 2021

ijps

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Kumari et al.: Box-Behnken Design for Formulation of Eslicarbazepine TabletsCurrent research has been done to develop statistically and optimized immediate release tablets for eslicarbazepine. Nineteen formulations of eslicarbazepine acetate immediate release tablets are prepared by wet granulation. The three-dimensional Box-Behnken design at three levels (3 3 ) was developed to study how selected independent variables affect dependent responses. After the initial test, three independent items were selected as follows; polyvinylpyrrolidone (A), tapioca starch (B) and galbanum gum (C). Responses to measure were the time of disintegration (Y1) and in vitro drug release at 45 min (Y2). In accordance with the independent variables, three different levels were established as the lowest, highest and middle variables tested. The predicted formula formulated with the Box-Behnken statistical design consisted of polyvinylpyrrolidone, tapioca starch and galbanum gum at the optimum levels of 2.49, 2.77 and 3 respectively.

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Optimization and Evaluation of Time-Dependent Tablets Comprising an Immediate and Sustained Release Profile Using Artificial Neural Network

Cited by 15 publications

References 14 publications

Receptor-mediated targeted drug delivery systems for treatment of inflammatory bowel disease: Opportunities and emerging strategies

Receptor-mediated targeted drug delivery systems for treatment of inflammatory bowel disease: Opportunities and emerging strategies

Artificial Neural Networks and Neuro-Fuzzy Models: Applications in Pharmaceutical Product Development

Application of Box-Behnken Design for Formulation Parameters of Eslicarbazepine Tablets

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