Literature DB >> 30477716

Determination of non-volatile components of a biodegradable food packaging material based on polyester and polylactic acid (PLA) and its migration to food simulants.

Margarita Aznar1, Sara Ubeda1, Nicola Dreolin1, Cristina Nerín2.   

Abstract

Bioplastic materials are increasingly used due to its benefits for the environment preservation. Among them, food packaging materials based on polylactic acid (PLA) are among the most employed. In this work, a sample treatment methodology based on dissolution/precipitation has been optimized, selecting finally dichloromethane/ethanol as solvent/antisolvent system. The extracts obtained were analysed by UPLC-MS(QTOF), that allowed the identification of the main PLA non-volatile components. The recovery results were between 100.9 to 114.0%. The methodology was applied to the analysis of pellets and films of a PLA-polyester blend sample. A total of 37 different compounds were detected, where the four compounds with the highest intensity in pellet samples were cyclic oligomers coming from the polyester part of the blend and composed by adipic acid (AA), phthalic acid (PA) and butanediol (BD). Migration experiments to 3 food simulants were also performed: ethanol 95% (v/v), ethanol 10% (v/v) and acetic acid 3% (w/v). The results showed that in addition to those compounds previously detected in the film, new compounds coming from the reaction of PLA components with food simulants were present in migration solutions.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Bioplastics; Biopolymers; Migration; Non intentionally added substances (NIAS); Oligomers; Polylactic acid (PLA)

Mesh:

Substances:

Year:  2018        PMID: 30477716     DOI: 10.1016/j.chroma.2018.10.055

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  6 in total

Review 1.  Safety of Plastic Food Packaging: The Challenges about Non-Intentionally Added Substances (NIAS) Discovery, Identification and Risk Assessment.

Authors:  Lilian Seiko Kato; Carlos A Conte-Junior
Journal:  Polymers (Basel)       Date:  2021-06-24       Impact factor: 4.329

Review 2.  Analytical Approaches for Analysis of Safety of Modern Food Packaging: A Review.

Authors:  Magdalena Wrona; Cristina Nerín
Journal:  Molecules       Date:  2020-02-10       Impact factor: 4.411

3.  Impacts of food contact chemicals on human health: a consensus statement.

Authors:  Jane Muncke; Anna-Maria Andersson; Thomas Backhaus; Justin M Boucher; Bethanie Carney Almroth; Arturo Castillo Castillo; Jonathan Chevrier; Barbara A Demeneix; Jorge A Emmanuel; Jean-Baptiste Fini; David Gee; Birgit Geueke; Ksenia Groh; Jerrold J Heindel; Jane Houlihan; Christopher D Kassotis; Carol F Kwiatkowski; Lisa Y Lefferts; Maricel V Maffini; Olwenn V Martin; John Peterson Myers; Angel Nadal; Cristina Nerin; Katherine E Pelch; Seth Rojello Fernández; Robert M Sargis; Ana M Soto; Leonardo Trasande; Laura N Vandenberg; Martin Wagner; Changqing Wu; R Thomas Zoeller; Martin Scheringer
Journal:  Environ Health       Date:  2020-03-03       Impact factor: 5.984

4.  Comparison of LC-ESI, DART, and ASAP for the analysis of oligomers migration from biopolymer food packaging materials in food (simulants).

Authors:  Jazmín Osorio; Margarita Aznar; Cristina Nerín; Christopher Elliott; Olivier Chevallier
Journal:  Anal Bioanal Chem       Date:  2021-11-08       Impact factor: 4.142

5.  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

6.  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

  6 in total

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