A Fast and Automated Strategy for the Identification and Risk Assessment of Unknown Substances (IAS/NIAS) in Plastic Food Contact Materials by GC-Q-Orbitrap HRMS: Recycled LDPE as a Proof-of-Concept

A Fast and Automated Strategy for the Identification and Risk Assessment of Unknown Substances (IAS/NIAS) in Plastic Food Contact Materials by GC-Q-Orbitrap HRMS: Recycled LDPE as a Proof-of-Concept

A fast and automated approach has been developed for the tentative identification and risk assessment of unknown substances in plastic food contact materials (FCM) by GC-Q-Orbitrap HRMS. The proposed approach combines GC-HRMS full scan data acquisition coupled to Compound Discoverer™ 3.2 software fo...

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Autores principales: Pablo Miralles, Vicent Yusà, Adriana Pineda, Clara Coscollà
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
food contact materials
gas chromatography
high-resolution mass spectrometry
low-density polyethylene
non-intentionally added substances
untargeted analysis
Chemical technology
TP1-1185
Acceso en línea:https://doaj.org/article/f32577f40d8342bb95a3d320059df9e0
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https://doaj.org/article/f32577f40d8342bb95a3d320059df9e0

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