Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

5.2K
For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
5.2K
Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism01:21

Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism

844
Polymorphism refers to the existence of a drug substance in multiple crystalline forms, known as polymorphs. Recently, this term has been expanded to include solvates (forms containing a solvent), amorphous forms (non-crystalline forms), and desolvated solvates (forms from which the solvent has been removed).
Some polymorphic crystals possess lower aqueous solubility than their amorphous counterparts, leading to incomplete absorption. For instance, the oral suspension of Chloramphenicol, which...
844
Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility02:34

Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility

53.6K
Intermolecular forces are attractive forces that exist between molecules. They dictate several bulk properties, such as melting points, boiling points, and solubilities (miscibilities) of substances. Molar mass, molecular shape, and polarity affect the strength of different intermolecular forces, which influence the magnitude of physical properties across a family of molecules.
Temporary attractive forces like dispersion are present in all molecules, whether they are polar or nonpolar. They...
53.6K
Drug Dissolution: Requirements and Profile Comparison01:14

Drug Dissolution: Requirements and Profile Comparison

412
The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
412
Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry01:20

Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry

666
Orally administered drugs primarily enter the systemic circulation via passive diffusion through the intestinal membranes. The drug's absorption is influenced by drug stability in the gastrointestinal GI tract, membrane permeability, the surface area available for absorption, luminal drug concentration, and residence time in the lumen. Drug permeability can be enhanced by adjusting the lipophilicity, polarity, or molecular size of the drug, promoting its passive transport across intestinal...
666
Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH01:21

Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH

4.2K
Drug absorption within the gastrointestinal (GI) tract is a complex process influenced by several critical factors, including the site pH, the drug's dissociation constant (pKa), and the drug's lipophilicity. The GI tract exhibits a pH gradient, with an acidic environment in the stomach and a more alkaline environment in the small intestine. This pH variation directly affects the ionization state of drugs.
A drug's pKa and the pH of the gastrointestinal (GI) tract play crucial roles...
4.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Establishing experimental parameters for biphasic transfer in vitro lipolysis model.

International journal of pharmaceutics·2026
Same author

Development of a model to predict nicotine pharmacokinetics from oral nicotine pouches.

Scientific reports·2026
Same author

Preformulation studies of levonorgestrel: A supplier variation analysis.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences·2026
Same author

Development of high-concentration long-acting injectable formulations of TBAJ-587 and TBAJ-876 as an extended treatment strategy against tuberculosis.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Impact of solvent choice during microfluidic manufacture on the in vivo performance of liposomal doxorubicin.

Drug delivery and translational research·2026
Same author

In Vitro Evaluation of Poly(D,L-lactide-co-glycolide) In Situ Gels and Pharmacokinetics Following Subcutaneous Injection in Rats for Model Drugs.

Pharmaceutics·2026

Related Experiment Video

Updated: Mar 30, 2026

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
07:32

Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

Published on: August 28, 2015

12.2K

Statistical Analysis of a Method to Predict Drug-Polymer Miscibility.

Matthias Manne Knopp, Niels Erik Olesen, Yanbin Huang

    Journal of Pharmaceutical Sciences
    |November 6, 2015
    PubMed
    Summary

    A common method for predicting drug-polymer miscibility using differential scanning calorimetry is statistically flawed. This study reveals the method is biased and uncertain, recommending a new approach for accurate predictions.

    More Related Videos

    MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups
    06:16

    MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

    Published on: October 3, 2025

    2.3K
    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
    06:55

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

    Published on: September 26, 2016

    8.6K

    Related Experiment Videos

    Last Updated: Mar 30, 2026

    Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles
    07:32

    Preparation and Characterization of Individual and Multi-drug Loaded Physically Entrapped Polymeric Micelles

    Published on: August 28, 2015

    12.2K
    MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups
    06:16

    MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

    Published on: October 3, 2025

    2.3K
    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
    06:55

    Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

    Published on: September 26, 2016

    8.6K

    Area of Science:

    • Pharmaceutical Sciences
    • Materials Science
    • Statistical Analysis

    Background:

    • Amorphous solid dispersions are increasingly used for drug formulation.
    • Differential scanning calorimetry (DSC) is a popular method for predicting drug-polymer miscibility.
    • Existing DSC methods lack rigorous statistical assessment of uncertainty.

    Purpose of the Study:

    • To statistically analyze a popular DSC-based method for drug-polymer miscibility prediction.
    • To identify limitations and biases in the current mathematical procedures.
    • To propose a statistically sound alternative for miscibility prediction.

    Main Methods:

    • Statistical analysis of a DSC-based drug-polymer miscibility prediction method.
    • Evaluation of the 'transformation to linearity' mathematical procedure for bias and uncertainty.
    • Development of an objective function for unbiased, minimum variance estimation.

    Main Results:

    • The current DSC method is biased and too uncertain for reliable room temperature miscibility prediction.
    • The mathematical procedure ('transformation to linearity') introduces significant bias.
    • Statistical inference based on the current method can lead to misinterpretations.

    Conclusions:

    • The widely used DSC method for drug-polymer miscibility prediction is statistically unreliable.
    • A revised statistical approach using an objective function and least-square estimation is recommended.
    • Accurate and unbiased prediction of drug-polymer miscibility requires robust statistical validation.