Literature DB >> 25831407

Predicting diffusion coefficients of chemicals in and through packaging materials.

Xiaoyi Fang1,2, Olivier Vitrac1,2.   

Abstract

Most of the physicochemical properties in polymers such as activity and partition coefficients, diffusion coefficients, and their activation with temperature are accessible to direct calculations from first principles. Such predictions are particularly relevant for food packaging as they can be used (1) to demonstrate the compliance or safety of numerous polymer materials and of their constitutive substances (e.g. additives, residues…), when they are used: as containers, coatings, sealants, gaskets, printing inks, etc. (2) or to predict the indirect contamination of food by pollutants (e.g. from recycled polymers, storage ambiance…) (3) or to assess the plasticization of materials in contact by food constituents (e.g. fat matter, aroma…). This review article summarizes the classical and last mechanistic descriptions of diffusion in polymers and discusses the reliability of semi-empirical approaches used for compliance testing both in EU and US. It is concluded that simulation of diffusion in or through polymers is not limited to worst-case assumptions but could also be applied to real cases for risk assessment, designing packaging with low leaching risk or to synthesize plastic additives with low diffusion rates.

Entities:  

Keywords:  Diffusion; mathematical modeling; migration; molecular modeling; packaging

Mesh:

Substances:

Year:  2017        PMID: 25831407     DOI: 10.1080/10408398.2013.849654

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  7 in total

1.  A regression-based model to predict chemical migration from packaging to food.

Authors:  Mélanie Douziech; Ana Benítez-López; Alexi Ernstoff; Cecilia Askham; A Jan Hendriks; Henry King; Mark A J Huijbregts
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-10-22       Impact factor: 5.563

Review 2.  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

3.  A Hard Nut to Crack: Reducing Chemical Migration in Food-Contact Materials.

Authors:  Nate Seltenrich
Journal:  Environ Health Perspect       Date:  2015-07       Impact factor: 9.031

Review 4.  Potential of Liquid Extraction Surface Analysis Mass Spectrometry (LESA-MS) for the Characterization of Polymer-Based Materials.

Authors:  Ambre Issart; Joanna Szpunar
Journal:  Polymers (Basel)       Date:  2019-05-05       Impact factor: 4.329

5.  Synthesis of Polylactic Acid Initiated through Biobased Antioxidants: Towards Intrinsically Active Food Packaging.

Authors:  Marco Aldo Ortenzi; Stefano Gazzotti; Begonya Marcos; Stefano Antenucci; Stefano Camazzola; Luciano Piergiovanni; Hermes Farina; Giuseppe Di Silvestro; Luisella Verotta
Journal:  Polymers (Basel)       Date:  2020-05-21       Impact factor: 4.329

6.  The Ubiquitous Issue of Cross-Mass Transfer: Applications to Single-Use Systems.

Authors:  Phuong-Mai Nguyen; Samuel Dorey; Olivier Vitrac
Journal:  Molecules       Date:  2019-09-24       Impact factor: 4.411

Review 7.  Micro- and nanoplastics - current state of knowledge with the focus on oral uptake and toxicity.

Authors:  Maxi B Paul; Valerie Stock; Julia Cara-Carmona; Elisa Lisicki; Sofiya Shopova; Valérie Fessard; Albert Braeuning; Holger Sieg; Linda Böhmert
Journal:  Nanoscale Adv       Date:  2020-09-02
  7 in total

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