Calcifying Tumor of Malherbe

Baviskar, Dr.Bharti Padmakar; Karle, Ravindra; Nigwekar, Shubhangi; Misra, Somen

doi:10.7439/ijbar.v4i3.321

Cited by 1 publication

(3 citation statements)

References 7 publications

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“…A quantitative summary of the dissolution profile data is then provided, along with calculating the 95 % confidence intervals for differences in the mean dissolution profiles at single dissolution time points. The FDA has not recently endorsed these methods, but they have provided good information on controlled drug release formulation dissolving data, and thus, their use is advised [6,80,82,83,101]. b) Multivariate methods (multivariate analysis of variance) (MANOVA): The repeated measures design was used to develop MANOVA, with time and percent dissolved as the repeating component and variable, respectively.…”

Section: Sustained Releasementioning

confidence: 99%

“…The dissolution profiles are assessed considering the parameters of the resulting model after the most suitable mathematical model had been selected. Traditional drug release techniques are based on erosion, partition, diffusion, dissolution, and swelling [5,11,[79][80][81][82][83][84][85].…”

Section: Sustained Releasementioning

confidence: 99%

“…b) Multivariate methods (multivariate analysis of variance) (MANOVA): The repeated measures design was used to develop MANOVA, with time and percent dissolved as the repeating component and variable, respectively. This method's derived statistics were Pillaiis Trace, Wilksi Lambda, Hotellingis Trace, and Roy is the Largest Root [6,80,82,83,101,102].…”

Section: Sustained Releasementioning

confidence: 99%

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Kinetic Modeling to Explain the Release of Medicine from Drug Delivery Systems

Askarizadeh,

Esfandiari,

Honarvar

et al. 2023

ChemBioEng Reviews

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Proper medication dissolution must be ensured when developing or manufacturing a new solid dosage form. Quantitative analyses performed in dissolution or release tests become simpler when applying mathematical formulae which represent dissolution outcomes as a function of several dosage form properties. Methodologies utilized to examine the kinetics of drug release from controlled‐release formulations are reviewed. The analysis of variance was conducted using statistical, model‐independent, and ‐dependent techniques for the dissolution profile comparison and fitting, respectively. Model equations, including zero‐ and first‐order, Hixson‐Crowell, Weibull, Higuchi, Korsmeyer‐Peppas, Baker‐Lonsdale, Hopfenberg, etc., were employed to match the experimental data. Additional release parameters were taken to illustrate the drug release patterns. Using correlation factors and the Akaike information criterion (AIC), the best‐fitting model was discovered, as were the transport phenomena affecting the behavior of the recognized formulations.

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