Related Experiment Video
Updated: Jan 26, 2026

04:28
Utilizing an Orally Dissolving Strip for Pharmacological and Toxicological Studies: A Simple and Humane Alternative to Oral Gavage for Animals
Published on: March 23, 2016
13.2K
Disintegration time of orally dissolving films: various methodologies and in-vitro/in-vivo correlation
Die Pharmazie
|April 4, 2019
Summary
Developing new disintegration methods for orodispersible films (ODF) is crucial for patient safety. The novel cell method accurately predicts in-vivo disintegration time for low-viscosity ODFs, outperforming traditional apparatus.
Area of Science:
- Pharmaceutics
- Drug Delivery Systems
Background:
- Orodispersible films (ODF) are increasingly popular, particularly for pediatric and geriatric use.
- Accurate disintegration time measurement is vital for ODF quality and safety.
- Existing methods, like the USP disintegration apparatus, are inadequate for ODFs, failing to predict in-vivo performance.
Purpose of the Study:
- To develop and evaluate novel disintegration protocols for ODFs.
- To identify a method that accurately reflects in-vivo disintegration time.
- To compare new methods against established procedures.
Main Methods:
- Formulation of ODFs using varying hydroxypropylmethyl cellulose (HPMC) viscosity grades.
- Evaluation of mechanical properties using texture analysis and film folding endurance.
- Comparison of novel methods (frame, cell, agar plate) with existing ones (clamp, modified USP).
Main Results:
- The cell method showed no significant difference from in-vivo results for low-viscosity polymers (p>0.05).
- The cell method demonstrated the highest correlation (R² = 0.999) with in-vivo disintegration time across all viscosity grades.
- Mechanical properties of ODFs were assessed.
Conclusions:
- The cell method is a suitable and reliable approach for predicting the in-vivo disintegration time of low-viscosity polymeric ODFs.
- This method offers improved accuracy over traditional disintegration testing apparatus.
- Further validation may be beneficial for broader applications.
Related Concept Videos
Drug Product Performance: In Vitro–In Vivo Correlation
268
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
268
Drug Concentration Versus Time Correlation
2.1K
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
2.1K
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation
42.4K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.4K
Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K
Equivalence: In Vitro and In Vivo Bioequivalence
220
Body:Bioequivalence studies are crucial in evaluating whether new drugs can match an approved one regarding pharmacological effects and clinical performance. These studies test if drugs, despite different dosage forms, share identical plasma concentration-time profiles. Three types of equivalence are central to these studies: chemical, pharmaceutical, and therapeutic. Chemical equivalence indicates that two or more drug products contain identical active ingredients in equal amounts.
220

