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Related Concept Videos

In Vitro Drug Dissolution: Compendial Testing Models I01:13

In Vitro Drug Dissolution: Compendial Testing Models I

Compendial dissolution methods are standardized procedures defined by pharmacopeias to evaluate the rate at which a drug dissolves in a specific medium. These methods ensure batch-to-batch consistency, enable quality control, and support the prediction of drug bioavailability. They are critical for both immediate and modified-release drug products.The apparatuses used for dissolution testing differ in their design and mechanical function, but all aim to simulate the physiological environment of...
In Vitro Drug Dissolution: Compendial Testing Models II01:09

In Vitro Drug Dissolution: Compendial Testing Models II

Various dissolution methods are utilized to assess a drug’s dissolution rate, including the flow-through cell, paddle-over-disk, cylinder, and reciprocating disk methods.The flow-through cell apparatus (USP (United States Pharmacopeia) method 4) comprises a reservoir for the dissolution medium and a pump that propels the medium through the cell containing the test sample. This method is crucial for assessing modified-release dosage forms with minimally soluble active ingredients, maintaining...
Methods for Studying Drug Absorption: In vitro01:16

Methods for Studying Drug Absorption: In vitro

In vitro experiments are crucial for understanding the transport and absorption of drugs through biological materials. These studies employ varied methods such as the diffusion cell method, the everted sac technique, and the everted ring technique.
The diffusion cell method uses a two-compartment cell, including a donor compartment with the drug solution, which simulates the environment where the drug is applied, and a receptor compartment with a buffer solution, which simulates the environment...
Methods for Studying Drug Absorption: In situ01:09

Methods for Studying Drug Absorption: In situ

In situ experiments, such as the Doluisio method and Single-Pass Perfusion technique, provide critical insights into drug uptake by simulating in vivo conditions for drug absorption.
The Doluisio method involves perfusing a prepared segment of a rat's small intestine with a solution of radiolabeled drug and a non-absorbable marker. This helps to differentiate between absorbed and non-absorbed drug concentrations. The intestinal segment is connected at both ends using tubing and syringes,...
Modified-Release Drug Delivery Systems: Drug Release Characteristics01:22

Modified-Release Drug Delivery Systems: Drug Release Characteristics

Drug release from modified-release dosage forms is designed to achieve specific therapeutic effects by controlling the rate and extent of drug release. The classification of these drug release systems is based on key pharmacokinetic assumptions: drug disposition follows first-order kinetics, drug release is the rate-limiting step in absorption, and the released drug is rapidly and completely absorbed.There are four major models of drug release patterns. The first model is the slow zero-order...
In Vitro Drug Dissolution: Alternative Methods01:17

In Vitro Drug Dissolution: Alternative Methods

Alternative drug dissolution methods include the rotating bottle, intrinsic dissolution test, peristalsis, and the Franz diffusion cell method. The rotating bottle method involves meticulously rotating tightly capped controlled-release beads in a temperature-controlled bath. Periodic decanting of samples allows for residue assay, followed by refilling with fresh medium and testing at various pH levels to emulate the gastrointestinal tract conditions.In contrast, the intrinsic dissolution test...

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Updated: Jun 19, 2026

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging
11:07

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging

Published on: November 24, 2021

In Vitro Release Prediction of Colchicine Transdermal Patch Based on Raman Spectroscopy Imaging and Data-Driven

Xin Sha1,2,3, Wenliang Dong1,2,3, Lisong Zhang1,2,3

  • 1College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.

AAPS Pharmscitech
|June 17, 2026
PubMed
Summary
This summary is machine-generated.

Raman spectroscopic imaging combined with data-driven modeling offers a faster, non-destructive method for predicting drug release from transdermal patches. This greener approach reduces operational complexity and testing time compared to traditional methods.

Keywords:
In vitro release predictionColchicine patchDeep learning modelsRaman spectroscopic imaging

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An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
07:37

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

Area of Science:

  • Pharmaceutical Sciences
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Conventional methods for in vitro drug release testing of transdermal patches are often complex and time-consuming.
  • Developing rapid, non-destructive, and environmentally friendly alternatives is crucial for efficient quality control.

Purpose of the Study:

  • To investigate the feasibility of using Raman spectroscopic imaging and data-driven modeling for in vitro colchicine release estimation from transdermal patches.
  • To compare the performance of different data-driven models and strategies for release prediction.
  • To assess the environmental benefits of the proposed method.

Main Methods:

  • Transdermal patch samples were prepared using a Box-Behnken design with varying colchicine content, enhancer content, and evaporation time.
  • Surface Raman imaging data were collected, and reference release profiles were obtained using the paddle-plate method and Weibull equation fitting.
  • Three models (partial least squares regression, spectra-based CNN, image-based CNN) were developed using curve-fitting-independent and curve-fitting-dependent strategies.

Main Results:

  • The curve-fitting-independent strategy demonstrated superior predictive performance compared to the curve-fitting-dependent strategy.
  • All developed models successfully met standard similarity criteria (f1 < 15, f2 > 50) for release prediction.
  • Green analysis confirmed reduced solvent consumption, waste generation, and energy usage compared to conventional methods.

Conclusions:

  • Raman spectroscopic imaging coupled with data-driven modeling provides a viable, non-destructive, and greener alternative for in vitro transdermal patch release prediction.
  • This integrated approach offers a more efficient and environmentally conscious method for quality evaluation of transdermal drug delivery systems.
  • The study highlights the potential for reducing the operational complexity and testing duration of traditional release assays.