Literature DB >> 33618093

The use of ion mobility time-of-flight mass spectrometry to assess the migration of polyamide 6 and polyamide 66 oligomers from kitchenware utensils to food.

Elena Canellas1, Paula Vera2, Xue-Chao Song3, Cristina Nerin4, Jeff Goshawk5, Nicola Dreolin5.   

Abstract

Oligomers, are, in general, unknown components of the polymer. These oligomers can migrate from the polymer into the food and become a non-intentionally added substance to the food. In this work, ion mobility time-of-flight mass spectrometry has been used to identify oligomers migrating from kitchenware. The structure elucidation of oligomers from polyamide 6 and polyamide 66 was achieved through the analysis of accurate m/z values of adducts and collision cross section values of precursor ions together with high-energy fragmentation patterns. Additionally, a method to extract oligomers from sunflower oil, cooked beans, soup and whole milk has been developed. Extraction recoveries ranged from 87 to 102% and limits of detection were from 0.03 to 0.11 mg/kg. It was observed that the migration from kitchenware to real food was below the specified migration limit of 5 mg/kg. However, this limit was exceeded for food simulants, which therefore overestimated the oligomer migration.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Migration to foodstuff; Oligomers migration; Polyamide kitchenware; UPLC-IM-Q/TOF

Mesh:

Substances:

Year:  2021        PMID: 33618093     DOI: 10.1016/j.foodchem.2021.129260

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  A Collision Cross Section Database for Extractables and Leachables from Food Contact Materials.

Authors:  Xue-Chao Song; Elena Canellas; Nicola Dreolin; Jeff Goshawk; Cristina Nerin
Journal:  J Agric Food Chem       Date:  2022-04-05       Impact factor: 5.895

2.  Identification of Nonvolatile Migrates from Food Contact Materials Using Ion Mobility-High-Resolution Mass Spectrometry and in Silico Prediction Tools.

Authors:  Xue-Chao Song; Elena Canellas; Nicola Dreolin; Jeff Goshawk; Cristina Nerin
Journal:  J Agric Food Chem       Date:  2022-07-20       Impact factor: 5.895

3.  Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.

Authors:  Xue-Chao Song; Nicola Dreolin; Tito Damiani; Elena Canellas; Cristina Nerin
Journal:  J Agric Food Chem       Date:  2022-01-18       Impact factor: 5.279

  3 in total

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