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4th HPTLC Online User Meeting, hosted by the HPTLC Association

RECORD | Already taken place Th, 1.12.2022
Authentication and quality control of Western Australian honeys using HPTLC. HPTLC and machine learning – How to use machine learning with the outputs from HPTLC.
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SelectScience: 4th HPTLC Online User Meeting, hosted by the HPTLC Association
SelectScience: 4th HPTLC Online User Meeting, hosted by the HPTLC Association

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

Presenter: Md Khairul Islam (Division of Pharmacy, School of Allied Health, University of Western Australia, Australia) 

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.

Presenter: Kevin Vinsen (Senior Research Fellow, International Centre for Radio Astronomy Research (ICRAR), University of Western Australia)

Space for discussions - Meet the speakers and representatives from the HPTLC Association in follow-up meetings held via Zoom at 8:15 GMT (for Session 1) and 17:15 GMT (for Session 2).

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.

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
Who should attend?
  • Researchers interested in food safety and quality testing and/or HPTLC
  • Students interested in learning more about HPTLC
  • Analysts and technicians working with HPTLC
  • Members of the HPTLC Association
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