Automated image analysis method for oil-release test of lipid-based materials

Area of Science:

• Materials Science
• Analytical Chemistry
• Food Science

Background:

• Oil release is a critical factor in the stability and application of lipid-based materials.
• Assessing oil retention is essential for product development in food, cosmetics, and pharmaceuticals.
• Existing methods for oil release analysis can be time-consuming and labor-intensive.

Purpose of the Study:

• To present an automated, cost-effective, and practical method for quantifying oil release from lipid-based materials.
• To provide a tool for evaluating the structural integrity and potential applications of these materials.
• To streamline the analysis of oil release dynamics.

Main Methods:

• An automated imaging system using a camera to capture the evolution of oil stains on filter paper.
• Image post-processing utilizing custom ImageJ scripts for automated oil stain area calculation.
• Development of a self-running protocol with predefined image capture intervals.

Main Results:

• The method provides direct numerical output of oil stain area from captured images.
• Demonstrated to be inexpensive, utilizing readily available laboratory equipment.
• The system is self-running and automates image analysis, significantly reducing manual effort.
• Analysis of 200 images can be completed in approximately 3 minutes.

Conclusions:

• The presented automated method offers an efficient and practical solution for determining oil release from lipid-based materials.
• This technique provides valuable insights into material stability and suitability for various industrial applications.
• The method's low cost and ease of use make it accessible for both academic and industrial research.