Development of an HPTLC method for evaluating vegetable oil adulteration

Join this webinar to discover how HPTLC can enhance the reliability and efficiency of your edible oil quality assessments.

Dr. Tiên Do, Chief Scientific Officer at CAMAG, and Paul Rogeboz, Junior Research Assistant at Nestlé Research will discuss how a newly developed HPTLC method was developed to identify edible oils. Find out how it was used to detect adulteration with remarkable accuracy.

Our experts will also explore the statistical validation of the method, its robust performance in interlaboratory studies, and its ability to identify adulteration levels from 5% to 25%.

Key topics discussed in this webinar will include:

• Understanding HPTLC for oil authenticity: Gain insights into the principles and applications of high-performance thin-layer chromatography (HPTLC) in ensuring edible oil authenticity
• Method development and validation: Learn about the development of the untargeted fingerprint profiling method for detecting vegetable oil adulteration and the statistical validation processes for variability, detection limits, and reproducibility
• Real-world application and robustness: Discover the robustness of the HPTLC method through interlaboratory studies and understand its practical applications in the food industry
• Detection capabilities: Explore the method's ability to accurately detect adulteration levels ranging from 5% to 25%

Who should attend?

• Quality control professionals
• Food industry researchers
• Regulatory affairs specialists
• R&D teams
• Food manufacturers
• Lab technicians

Certificate of attendance

All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.