Neuro-fuzzy modeling of ibuprofen-sustained release from tablets based on different cellulose derivatives

Rebouh, Samia; Lefnaoui, Sonia; Bouhedda, Mounir; Yahoum, Madiha Melha; Hanini, Salah

doi:10.1007/s13346-018-00592-0

Cited by 21 publications

(11 citation statements)

References 70 publications

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“…In order to assess the performance of the ANN, the mean square error (MSE) was calculated to demonstrate the statistical difference between the predicted and experimental values [ 12 , 15 ]. The accuracy of the developed model was assessed by the value of the correlation coefficient R 2 [ 20 , 21 , 22 , 23 , 24 , 25 ].…”

Section: Methodsmentioning

confidence: 99%

“…When the ANN was developed, it was important to decide the number of neurons in the hidden layer [ 20 ]. The rate of combination of the system could be influenced by a couple of neurons in the hidden layer.…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, the number of neurons in the hidden layer was acquired by experimentation wherein the minimum error between the experimental values and the predicted values was obtained. All input and output data were normalized between −1 and 1 [ 12 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

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Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives

et al. 2023

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The main objective of this study was to create a mathematical tool that could be used with experimental data to predict the rheological flow behavior of functionalized xanthan gum according to the types of chemical groups grafted onto its backbone. Different rheological and physicochemical analyses were applied to assess six derivatives synthesized via the etherification of xanthan gum by hydrophobic benzylation with benzyl chloride and carboxymethylation with monochloroacetic acid at three (regent/polymer) ratios R equal to 2.4 and 6. Results from the FTIR study verified that xanthan gum had been modified. The degree of substitution (DS) values varying between 0.2 and 2.9 for carboxymethylxanthan gum derivatives were found to be higher than that of hydrophobically modified benzyl xanthan gum for which the DS ranged from 0.5 to 1. The molecular weights of all the derivatives were found to be less than that of xanthan gum for the two types of derivatives, decreasing further as the degree of substitution (DS) increased. However, the benzyl xanthan gum derivatives presented higher molecular weights varying between 1,373,146 (g/mol) and 1,262,227 (g/mol) than carboxymethylxanthan gum derivatives (1,326,722–1,015,544) (g/mol). A shear-thinning behavior was observed in the derivatives, and the derivatives’ viscosity was found to decrease with increasing DS. The second objective of this research was to create an ANN model to predict one of the rheological properties (the apparent viscosity). The significance of the ANN model (R2 = 0.99998 and MSE = 5.95 × 10−3) was validated by comparing experimental results with the predicted ones. The results showed that the model was an efficient tool for predicting rheological flow behavior.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives

et al. 2023

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“…To achieve an accurate result, each test was repeated three times and the average was taken. The angle of repose was determined according to the funnel method, and the mean diameter of the base of the powder mixture cone and the tangent of the angle of repose were determined using Equation (2) [20]. θ = tan −1 ( h / r ) where θ is the angle of repose, h is the cone height, and r is the cone base radius.…”

Section: Methodsmentioning

confidence: 99%

Optimizing the Extraction and Encapsulation of Mucilage from Brasenia Schreberi

Luo

Sun

et al. 2019

Polymers

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The mucilage from Brasenia schreberi (BS) exhibits various biological activities, including antialgal, antibacterial, soluble-fiber properties, and excellent lubricating behavior. Thus, the extraction and wide use of mucilage in the food industry are crucial. In this study, the high-speed shear-assisted extraction of mucilage from BS was optimized by using response surface methodology (RSM). The optimal extraction conditions were as follows: Extraction temperature of 82 °C, extraction time of 113 min, liquid–solid ratio of 47 mL/g, and shear speed of 10,000 rpm. Under these conditions, the actual yield of BS mucilage was 71.67%, which highly matched the yield (73.44%) predicted by the regression model. Then, the BS mucilage extract was powdered to prepare the capsule, and the excipients of the capsule were screened using a single-factor test to improve the disintegration property and flowability. The final capsule formulation, which consisted of: 39% BS mucilage powder (60 meshes); 50% microcrystalline cellulose (60 meshes) as the filler; both 10% sodium starch glycolate and PVPP XL-10 (3:1, 60 meshes) as the disintegrant; both 1% colloidal silicon dioxide and sodium stearyl fumarate (1:1, 100 meshes) as the glidant by weight; were used for preparing the weights of a 320 mg/grain of capsule with 154.7 ± 0.95 mg/g polysaccharide content. Overall, the optimized extraction process had a high extraction rate for BS mucilage and the capsule formulation was designed reasonably.

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“…Matrix tablets composed of synthetic hydrophilic polymers based on cellulose can release various drugs slowly by forming a hydrated gel layer on the tablet surface. 1–9 Thus, many commercial sustained drug-release formulations have been developed using these cellulose polymers, leading to improvement of medication compliance due to reduced frequency of medications. 10…”

Section: Introductionmentioning

confidence: 99%

Evaluation of swelling properties and drug release from mechanochemical pre-gelatinized glutinous rice starch matrix tablets by near infrared spectroscopy

Takaku

Hattori

Sasaki

et al. 2021

Journal of Near Infrared Spectroscopy

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The effect of grinding on the pharmaceutical properties of matrix tablets consisting of ground glutinous rice starch (GRS) and theophylline (TH) was predicted by near infrared (NIR) spectroscopy. Ground GRS samples were prepared by grinding GRS in a planetary ball mill for 0-120 min, measured by X-ray diffractometry (XRD) and NIR, and then evaluated for crystallinity (%XRD) based on XRD profiles. Tablets containing TH (5 w/w%), ground GRS (94 w/w%), and magnesium stearate (1 w/w%) were formed by compression. Gel-forming and drug-release processes of the tablets were measured using a dissolution instrument with X-ray computed tomography (XCT). Swelling ratio (SWE) and mean drug-release time (MDT) were evaluated based on XCT and drug-release profiles, respectively. Calibration models for predicting percent %XRD, MDT, and SWE were constructed based on the NIR of ground GRS using partial least-squares. The results indicated the possibility of controlling the pharmaceutical properties of matrix tablets by altering the pre-gelatinization of GRS based on changes in their NIR spectra during the milling process.

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Neuro-fuzzy modeling of ibuprofen-sustained release from tablets based on different cellulose derivatives

Cited by 21 publications

References 70 publications

Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives

Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives

Optimizing the Extraction and Encapsulation of Mucilage from Brasenia Schreberi

Evaluation of swelling properties and drug release from mechanochemical pre-gelatinized glutinous rice starch matrix tablets by near infrared spectroscopy

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