scholarly journals Formulation and Evaluation of Controlled-Release Tablet of Zolpidem Tartrate by Melt Granulation Technique

2011 ◽  
Vol 2011 ◽  
pp. 1-8
Author(s):  
Shailesh T. Prajapati ◽  
Amit N. Patel ◽  
Chhagan N. Patel
Keyword(s):  
Controlled Release ◽  
Independent Variables ◽  
Dependent Variables ◽  
Tablet Formulations ◽  
Binder Concentration ◽  
Full Factorial ◽  
Evaluation Parameters ◽  
Melt Granulation ◽  
Pvp K30 ◽  
Release Tablet

The present investigation describes the influence of the concentration of PEG 6000 as a melt binder and ratio of HPMC K4M : PVP on Zolpidem tartrate controlled-release tablet formulations using 32 full factorial design. The ratio of HPMC K4M and PVP K30 () and the concentration of melt binder () were selected as independent variables, and drug release at 1 hr (), 4 hr (), 8 hr (), diffusion coefficient (), and release rate constant () were selected as a dependent variable. Tablets were prepared by melt granulation technique and evaluated for various evaluation parameters. It was observed that concentration of melt binder had significant effect on , , , and Binder concentration 25% w/w was found optimum. Optimized formulation () showed good similarity with theoretical profile of drug. The variable had a significant effect on dependent variables, and the variable had no significant effect on dependent variables.

scholarly journals Influence of Splitting on Dissolution Properties of Metoprolol Tablets

2009 ◽  
Vol 9 (3) ◽  
pp. 245-249 ◽  
Author(s):  
Edina Vranić ◽  
Alija Uzunović
Keyword(s):  
Controlled Release ◽  
Extended Release ◽  
Release Formulation ◽  
Extended Release Formulation ◽  
Dissolution Properties ◽  
Tablet Formulations ◽  
Score Line ◽  
Adequate Design ◽  
Release Tablet

The objective of this work was to compare several profiles of dissolution data for metoprolol controlled release tablet formulations in order to identify possible changes in dissolution profiles of whole and scored tablets. Adequate design of score lines (on one or both sides) as well as the technology of preparation of tablet mixtures ensure forming a score line of adequate thickness, shape, size, curvature. According to the obtained results, this type of extended release formulation is eligible for splitting and use in therapy either as a whole or scored tablets.

DEVELOPMENT AND EVALUATION OF MODIFIED RELEASE MATRIX TABLETS OF MILNACIPRAN HCL USING MELT GRANULATION TECHNIQUE

INDIAN DRUGS ◽  
2018 ◽  
Vol 55 (02) ◽  
pp. 68-71
Author(s):  
N. C Ratnakara ◽  
◽  
M. C. Gohel
Keyword(s):  
Drug Release ◽  
Matrix Tablets ◽  
Matrix Tablet ◽  
Modified Release ◽  
Independent Variables ◽  
Dependent Variables ◽  
Formulation Parameters ◽  
Predicted Values ◽  
Melt Granulation

The objective of the present study was to identify critical formulation parameters affecting the drug release from modified release wax matrix tablet of milnacipran hydrochloride employing the concept of design of experiments.The optimized amount of Compritol 888 ATO(intragranular) (X1), lactose (X2) and Compritol 888ATO (extragranular)(X3) were determined employing simplex latticedesign. The tablets were prepared using melt granulation technique. The in vitro drug release study was carried out in an acidic medium (pH 1.2) for 2 h and thereafter the dissolution study was conducted in phosphate buffer (pH 6.8).The selected dependent variables were the cumulative percentage of milnacipran hydrochloride dissolved at 1 (Y1), 8 (Y8), 16 (Y16) and 24 h (Y24). Mathematical models, correlating the independent variables with dependent variables were evolved. Optimization was performed for the three independent variables using the stated target ranges; Y1≤20%; Y8=45±5%; Y16=72±5%; Y24=100%. The optimized amounts of Compritol ATO888 (intragranular)(X1), lactose (X2) and Compritol 888ATO (extragranular)(X3), were found to be 60, 55 and 30 mg, respectively.The optimized formulation showed a release profile that was close to the predicted values. The drug was released by anomalous diffusion from the optimized formulation. Compritol 888ATO (intragranular) (X1), lactose (X2) and Compritol 888ATO(extragranular) (X3) were identified as critical variables.

Development of Oral Controlled Release Tablet Formulations Based on Diltiazem–Carrageenan Complex

2004 ◽  
Vol 9 (2) ◽  
pp. 155-162 ◽  
Author(s):  
M. C. Bonferoni ◽  
S. Rossi ◽  
F. Ferrari ◽  
C. Caramella
Keyword(s):  
Controlled Release ◽  
Tablet Formulations ◽  
Release Tablet

scholarly journals Formulation and Optimization of Sustained Release Stavudine Microspheres Using Response Surface Methodology

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Sanjay Dey ◽  
Soumen Pramanik ◽  
Ananya Malgope
Keyword(s):  
Particle Size ◽  
Drug Release ◽  
Entrapment Efficiency ◽  
Sustained Drug Release ◽  
Independent Variables ◽  
Optimum Formulation ◽  
Dependent Variables ◽  
High Entrapment Efficiency ◽  
Full Factorial

The aim of the current study was to formulate and optimize the formulation on the basis of in vitro performance of microsphere. A full factorial design was employed to study the effect of independent variables, polymer-to-drug ratio () and stirring speed (), on dependent variables, encapsulation efficiency, particle size, and time to 80% drug release. The best batch exhibited a high entrapment efficiency of 70% and mean particle size 290 μm. The drug release was also sustained for more than 12 hours. The study helped in finding the optimum formulation with excellent sustained drug release.

scholarly journals FORMULATION AND EVALUATION OF MOISTURIZING CREAM CONTAINING SUNFLOWER WAX

2018 ◽  
Vol 10 (11) ◽  
pp. 54 ◽  
Author(s):  
Avish D. Maru ◽  
Swaroop R. Lahoti
Keyword(s):  
Particle Size ◽  
Stearic Acid ◽  
Physicochemical Parameters ◽  
Research Work ◽  
Independent Variables ◽  
Dependent Variables ◽  
Full Factorial ◽  
32 Full Factorial Design ◽  
Sunflower Wax

Objective: The main objective of the present investigation was to design, prepare and evaluate moisturizing cream using sunflower wax.Methods: In the present work 32 full factorial design was applied to study the effect of varying concentration of independent variables stearic acid (X1) and sunflower wax (X2) on dependent variables viscosity and spreadability. All of the prepared formulations of moisturizing cream were evaluated for its physicochemical parameters. Further, the optimized formulation and selected commercial moisturizer compared and evaluated for its physicochemical parameters like pH, particle size, spreadability, viscosity and in vitro occlusivity test.Results: Nine different formulations of the moisturizing cream were prepared and all the findings obtained were within the prescribed limit. When compared to the prototype formulation of cream, the formulation MF5 showed good viscosity, in vitro occlusivity and spreadability. From the nine different formulations, MF5 containing 2 % stearic acid and 2 % sunflower was chosen as the optimized formula. Optimization was done on the basis of in vitro occlusivity studies and physicochemical parameters.Conclusion: The results obtained in this research work clearly showed a promising potential of moisturizing cream containing a specific ratio of stearic acid and sunflower wax as emulsifiers. Thus it can be concluded that sunflower wax is incorporated in the moisturizing cream, to avail of its cosmetic benefits.

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

PENGARUH PERSONAL BACKGROUND, POLITICAL BACKGROUND DAN PENGEATAHUAN DEWAN TENTANG ANGGARAN TERHADAP PERAN DPRD DALAM PENGAWASAN KEUANGAN DAERAH

2008 ◽  
Author(s):  
Yesi Mutia Basri ◽  
Rosliana Rosliana
Keyword(s):  
Multivariate Analysis ◽  
Significant Influence ◽  
Political Activity ◽  
Primary Data ◽  
Financial Control ◽  
Independent Variables ◽  
Dependent Variables ◽  
Political Background ◽  
Activity Dependent

This research aim to examine the influence of personal background, political background, and council budget knowledge towards the role of DPRD on region financial control. This research is motivated by the fact that individual background will effect to individual behavior on political activity. Dependent variables in this research are personal background, political background, and council budges knowledge towards the role of DPRD on region financial control Independent variables are the role of DPRD on region financial control in planning, implementing, and responsibility steps. The data in this research consist of primary data that taken from questionnaires distributed directly to respondents. The collected are from 34 Respondents that members of DPRD at Pekanbaru. Hypothesis of this research are examine by using Multivariate Analysis of Variances (MANOVA). The result of this research HI personal background political background and budget knowledge have significant influence toward the role of DPRD on region financial control in planning steps.H2 personal background, politico I background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Implementing steps. H3 personal background political background and budget knowledge have no significant influence toward the role of DPRD on region financial control in Controlling steps.

Application of 32 Full Factorial Design and Desirability Function for Optimizing The Manufacturing Process for Directly Compressible Multi-Functional Co-Processed Excipient

2020 ◽  
Vol 17 (6) ◽  
pp. 523-539
Author(s):  
Jalpa Patel ◽  
Dhaval Mori
Keyword(s):  
Factorial Design ◽  
Spray Drying ◽  
Desirability Function ◽  
Full Factorial Design ◽  
Angle Of Repose ◽  
P Value ◽  
Independent Variables ◽  
Full Factorial ◽  
32 Full Factorial Design ◽  
Response Variables

Background: Developing a new excipient and obtaining its market approval is an expensive, time-consuming and complex process. Compared to that, the co-processing of already approved excipients has emerged as a more attractive option for bringing better characteristic excipients to the market. The application of the Design of Experiments (DoE) approach for developing co-processed excipient can make the entire process cost-effective and rapid. Objective: The aim of the present investigation was to demonstrate the applicability of the DoE approach, especially 32 full factorial design, to develop a multi-functional co-processed excipient for the direct compression of model drug - cefixime trihydrate using spray drying technique. Methods: The preliminary studies proved the significant effect of atomization pressure (X1) and polymer ratio (microcrystalline cellulose: mannitol - X2) on critical product characteristics, so they were selected as independent variables. The angle of repose, Carr’s index, Hausner’s ratio, tensile strength and Kuno’s constant were selected as response variables. Result: The statistical analysis proved a significant effect of both independent variables on all response variables with a significant p-value < 0.05. The desirability function available in Design Expert 11® software was used to prepare and select the optimized batch. The prepared co-processed excipient had better compressibility than individual excipients and their physical mixture and was able to accommodate more than 40 percent drug without compromising the flow property and compressibility. Conclusion: The present investigation successfully proved the applicability of 32 full factorial design as an effective tool for optimizing the spray drying process to prepare a multi-functional co-processed excipient.

scholarly journals Weight Feedback-Based Harmonic MDG-Ensemble Model for Prediction of Traffic Accident Severity

2021 ◽  
Vol 11 (11) ◽  
pp. 5072
Author(s):  
Byung-Kook Koo ◽  
Ji-Won Baek ◽  
Kyung-Yong Chung
Keyword(s):  
Traffic Accidents ◽  
Average Rate ◽  
Modern Society ◽  
Rate Of Change ◽  
Weighted Voting ◽  
Independent Variables ◽  
Dependent Variables ◽  
Accident Severity ◽  
Harmonic Average ◽  
Bagging Method

Traffic accidents are emerging as a serious social problem in modern society but if the severity of an accident is quickly grasped, countermeasures can be organized efficiently. To solve this problem, the method proposed in this paper derives the MDG (Mean Decrease Gini) coefficient between variables to assess the severity of traffic accidents. Single models are designed to use coefficient, independent variables to determine and predict accident severity. The generated single models are fused using a weighted-voting-based bagging method ensemble to consider various characteristics and avoid overfitting. The variables used for predicting accidents are classified as dependent or independent and the variables that affect the severity of traffic accidents are predicted using the characteristics of causal relationships. Independent variables are classified as categorical and numerical variables. For this reason, a problem arises when the variation among dependent variables is imbalanced. Therefore, a harmonic average is applied to the weights to maintain the variables’ balance and determine the average rate of change. Through this, it is possible to establish objective criteria for determining the severity of traffic accidents, thereby improving reliability.

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