Making Sense of Microplastics Data Using YABE, a Reporting Tool for the Agilent 8700 LDIR

DATE

FIRST SESSION: September 11, 2025

SECOND SESSION: September 11, 2025

Can’t make it to the live event? Register and we will send you the link so you can watch on demand.

TIME

FIRST SESSION: September 11, 2025

10:00 a.m. BST, 11:00 a.m. CEST, 2:30 p.m. IST

Duration: 60 Minutes

SECOND SESSION: September 11, 2025

1:00 p.m. PDT, 4:00 p.m. EDT

Duration 60 Minutes

Overview

Particle-focused microplastics analysis produces large volumes of data that can be difficult to process. YABE is a user-friendly (Python-based) application that summarizes data extracted after microplastics sample analysis on the Agilent 8700 Laser Direct Infrared (LDIR). Using the LDIR-generated Excel reports, YABE can provide summarized results, categorized by polymer type, particle size, and HQI (match quality), while also using the LDIR-generated measurement parameters to also describe the particle shape and an estimation of mass.

YABE was developed in the framework of the IAEA’s NUTEC Plastics Initiative to address the global challenge of plastic pollution

Key Learning Objectives:

The aim of this webinar is to:

Describe the functionality of the YABE application, from its logical design, based on the latest advances in microplastic analysis found in the literature.
Demonstrate its practical implementation by microplastics researchers and anyone doing microplastics analysis.
Show how such reporting tools can assist in the harmonization of analysis and make results from studies more comparable.

Who Should Attend:

Microplastics researchers
Microplastics analysts from commercial, QA, or research labs seeking to understand key challenges in Microplastics analysis
Those interested in microplastics analysis and the development of standardized methodology around the world.

Brought to you by:

Speaker

Yasser Morera Gómez
Environmental Scientist and Researcher,
BIOMA Institute for Biodiversity and the Environment,
University of Navarra, Spain

Nathalie Bernard
IAEA, Monaco,
PhD Candidate,
University of Buenos Aires, Argentina

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