Webinar Date/Time: Tuesday, June 6th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST Tuesday, June 6th, 2023 at 2pm EDT | 11am PDT | 1pm BST | 5pm CEST Wednesday, June 7th, 2023 at 12pm JST | 11am CST | 1pm AEST
Increasing food safety regulations will force the measurement of titanium dioxide in food products. Join Agilent Application Scientist Daniel Clayton-Cuch to learn how to quantify TiO2 in food products.
Register Free: https://www.spectroscopyonline.com/spec_w/TiO2
Event Overview:
Food manufacturers must ensure that TiO2 is within safe levels and correctly listed on the product label. However, measuring TiO2 in food products presents some challenges for the analysis via common atomic spectroscopy. Titanium dioxide may also be present in foods as nanoparticles, which requires specialized measurement techniques if the nanoparticles are to be quantified separately. Agilent is developing the measurement methodology to help manufacturers meet these new regulations.
This webinar will cover:
Join Agilent for this webinar to learn how to perform the quantification of titanium dioxide in a variety of food products.
Key Learning Objectives:
Who Should Attend:
Speaker:
Daniel Clayton-Cuch
Application Scientist
Agilent Technologies
Daniel Clayton-Cuch graduated with a Bachelor of Science—with a First Class Honours—majoring in Biochemistry from the University of Adelaide in 2018. He started his industry Ph.D. in early 2020, titled “Identification, characterization, and exploitation of bioactive compounds from plant biomass”. The project heavily focused on manipulating and improving the biosynthesis of polyphenols which have a wide variety of structures. The project collaborated with two industry partners, CSIRO and Agilent Technologies, involving analytical chemistry techniques such as LCMS-QQQ and LCMS-QTOF. Currently, Daniel is finishing his thesis and undertaking an industry placement at Agilent Technologies in the Atomic Spectroscopy Division as part of his industry Ph.D. program, working as an Application Scientist.
Register Free: https://www.spectroscopyonline.com/spec_w/TiO2
Hyperspectral Imaging for Walnut Quality Assessment and Shelf-Life Classification
June 12th 2025Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.
Researchers Use Machine Learning and Hyperspectral Imaging to Pinpoint Best Apple Bagging Techniques
June 12th 2025A new study demonstrates that paper bagging significantly enhances Fuji apple quality and appearance. Hyperspectral imaging combined with machine learning offers a powerful, non-destructive method for evaluating fruit grown under different cultivation conditions.
Machine Learning and NMR Unite to Authenticate Wine with Near-Perfect Accuracy
June 11th 2025In a recent study published in the journal Beverages, a team of researchers from the National Institute for Research and Development of Isotopic and Molecular Technologies and Babeș-Bolyai University explored a new way to improve wine authentication
MIR Spectroscopy Validates Origin of Premium Brazilian Cachaças
June 11th 2025A recent study published in the journal Food Chemistry explored Brazil’s cachaça industry, focusing on a new analytical method that can confirm the geographic origin of cachaças from the Brejo Paraibano region in Brazil.