"Authentication and quality control of Western Australian honeys using HPTLC" / 

Questo per riconoscimento

Giuseppe Cotellessa

Ha partecipato ad un webinar di un'ora ed ad una sessione di domande e risposte intitolata

"Autenticazione e controllo di qualità dei mieli dell'Australia occidentale mediante HPTLC"

Key learning objectives

• Extend your knowledge of HPTLC and understand the benefits of HPTLC for diverse applications
• Gain insights into the daily work of HPTLC users
• Learn how to optimize your HPTLC applications

Information

High-Performance Thin-Layer Chromatography (HPTLC) is an essential tool used extensively in the pharmaceutical industry, from general pharmaceutical analysis to identifying herbal medicines under regulated environments. Australian HPTLC Association members have been working on numerous methods from quick HPTLC screening of native super foods to comprehensive fingerprinting incorporating intensive data for automated identification and quick “in analysis” sample preparation of difficult samples used in pharmaceutical preparations.

Webinar 1: Authentication and quality control of Western Australian honeys using HPTLC

As a highly priced natural product, honey is appreciated for its nutritional value and its medicinal properties. Quality control is important but also challenging, especially for honeys collected from botanically rich and diverse areas. In this session, Md Khairul Islam, Lecturer at the University of Western Australia, explores the use of HPTLC for the authentication and quality control of honey using methods for:

• The authentication of its predominant floral source via HPTLC fingerprinting of its organic extract
• The detection and quantification of honey constituents that might contribute to its antioxidant activity via HPTLC-DPPH analysis
• The qualitative and quantitative analysis of its major sugars by a HPTLC assay

Webinar 2: HPTLC and machine learning – How to use machine learning with the outputs from HPTLC

In this session, Kevin Vinsen, Senior Research Fellow at the University of Western Australia, will discuss methods of using machine learning to analyse the light spectra produced by HPTLC and TLC Scanners (190 – 900 nm). He will discuss how autoencoders can be used to improve Dynamic Time Warping (DTW) for samples with many heterogeneous peaks (such as honey or herbal extracts), and how Gaussian Mixture Models can be used to cluster the samples.

Space for discussions - Meet the speakers and representatives from the HPTLC Association in follow-up meetings.

Take the opportunity to engage in discussions with speakers, colleagues, and representatives from the HPTLC Association in a moderated Zoom meeting, scheduled immediately after each session.

A separate registration for the Zoom meeting is not required - registrants for the main sessions will receive an email invitation with an access link at day of the event. Additionally, a QR code and shortlink will be displayed after the Q&A session to bridge the gap, enabling a seamless transition from the webinar platform to the Zoom meeting also for last minute registrants.