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This paper defines parameters that can be used to predict worst-case migration from recycled PET bottles, with and without a functional barrier. Starting with a set of diffusion coefficients determined in well-defined experimental conditions (temperature, presence or not of a solvent, with and without swelling effect), empirical equations for the diffusion coefficient of a migrant or a pollutant in PET at 40°C are given as a function of its molecular weight. An equation is also derived for migration from PET into water. Surrogates representative of worst-case migrants are identified and are discussed in terms of molecular weight, structure and interaction with the PET matrix. In the second part of the paper, the empirical equations have been used to simulate the migration from monolayer bottles and from multilayer bottles with different geometries of functional barrier, as a function of the pollutants' molecular weight. Since the diffusion coefficients are overestimated, the calculated migration is also overestimated, which provides a margin of safety. The advantage of the functional barrier technology is compared to the direct food contact route, as a function of food contact time. In the last part of the paper, the effect of testing temperature is investigated. Based on a literature survey, the activation energy of pollutants is shown to increase roughly with their molecular weights. A worst-case activation energy of 80 kJ/mol is proposed, allowing extrapolation of migration data from a higher temperature (values calculated at 40°C or determined at 60°C) to room temperature. The possible use of this activation energy to design tests for functional barriers is discussed. Copyright
This paper defines parameters that can be used to predict worst-case migration from recycled PET bottles, with and without a functional barrier. Starting with a set of diffusion coefficients determined in well-defined experimental conditions (temperature, presence or not of a solvent, with and without swelling effect), empirical equations for the diffusion coefficient of a migrant or a pollutant in PET at 40°C are given as a function of its molecular weight. An equation is also derived for migration from PET into water. Surrogates representative of worst-case migrants are identified and are discussed in terms of molecular weight, structure and interaction with the PET matrix. In the second part of the paper, the empirical equations have been used to simulate the migration from monolayer bottles and from multilayer bottles with different geometries of functional barrier, as a function of the pollutants' molecular weight. Since the diffusion coefficients are overestimated, the calculated migration is also overestimated, which provides a margin of safety. The advantage of the functional barrier technology is compared to the direct food contact route, as a function of food contact time. In the last part of the paper, the effect of testing temperature is investigated. Based on a literature survey, the activation energy of pollutants is shown to increase roughly with their molecular weights. A worst-case activation energy of 80 kJ/mol is proposed, allowing extrapolation of migration data from a higher temperature (values calculated at 40°C or determined at 60°C) to room temperature. The possible use of this activation energy to design tests for functional barriers is discussed. Copyright
> Development of Reactive Barrier Polymers against Corrosion for the Oil and Gas Industry: From Formulation to Qualification through the Development of Predictive Multiphysics ModelingDéveloppement de matériaux barrières réactifs contre la corrosion pour l'industrie pétrolière : de la formulation à la qualification industrielle en passant par le développement de modèles multiphysiques prédictifs Re´sume´-Avance´es dans la compre´hension des interactions polyme`res-biocarburants -Cet article traite des interactions polyme`res-biocarburants et en particulier des effets des biocarburants sur le polye´thyle`ne (PE) employe´pour des applications automobiles. L'objectif est de de´velopper un mode`le pre´dictif pour la dure´e de vie des re´servoirs en polye´thyle`ne vieillissant au contact de carburants contenant de l'e´thanol ou du biodiesel. La principale conse´quence d'un vieillissement au contact d'e´thanol est la diminution de la vitesse d'extraction des antioxydants du PE. La vitesse d'extraction obe´it a`une loi du premier ordre et sa constante de vitesse obe´it a`la loi d'Arrhenius. L'interaction entre le PE et les biodiesels a e´te´e´tudie´e au travers de syste`mes re´els (me´thyl ester de soja et de colza) compare´s a`deux syste`mes mode`les (me´thyl ole´ate et me´thyl linole´ate). Il en est principalement ressorti que l'interaction entre biodiesel et polye´thyle`ne se de´composait en deux parties : une premie`re lie´e au vieillissement physique duˆal a pe´ne´tration du biodiesel dans le PE et l'autre a`un vieillissement chimique au cours duquel polye´thyle`ne et biodiesel s'oxydaient simultane´ment. L'e´tude du transport des me´thyl esters dans le PE a re´ve´le´que la cine´tique de diffusion ne de´pendait que de la tempe´rature et de la masse molaire du carburant. L'e´tude de l'interaction chimique a mis en e´vidence que les me´thyl esters s'oxydent plus rapidement que le PE et contribuent a`acce´le´rer son oxydation. Un premier mode`le de co-oxydation a e´te´propose´pour rendre compte de ce phe´nome`ne.Abstract -New Insights in Polymer-Biofuels Interaction -This paper deals with polymer-fuel interaction focusing on specific effects of biofuels on polyethylene (PE) in automotive applications. The practical objective is to develop a predictable approach for durability of polyethylene tanks in contact of ethanol based or biofuel based fuels. In the case of ethanol, the main consequence on PE durability is a reduction of the rate of stabilizer extraction; this latter phenomenon can be modeled by first order kinetics with a rate constant that obeys the Arrhenius equation. Concerning biodiesels, the study was focused on soy and rapeseed methyl ester which were compared to methyl oleate and methyl linoleate used as model compounds. Here, PE-fuel interactions can be described as well as physical interaction, linked to the oil penetration into the polymer, as chemical interaction linked to an eventual co-oxidation of PE and oil. Both aspects were investigated. Concerning biofuel transport in PE, it appeared that the...
The article contains sections titled: 1. Historical Aspects 2. Definitions 3. Economic Significance 3.1. Functions and Effects 3.2. Characteristic Data 4. Objectives 4.1. Miscellaneous Objectives 4.2. Protective Function of Packaging 4.2.1. Protecting Contents 4.2.2. Protecting Humans and the Environment 5. Properties of Packaging Materials 5.1. General Mechanical Data 5.2. Barrier Properties 5.3. Thermal Properties 5.4. Biological Properties 5.5. Electrical Properties 5.6. Chemical Properties 5.7. Processing Properties 6. Types of Packaging Materials 6.1. Paper 6.2. Cardboard 6.3. Corrugated Cardboard 6.4. Coated Paper and Cardboard 6.5. Plastics for Packaging 6.5.1. Cellophane (Regenerated Cellulose) 6.5.2. Polyethylene 6.5.3. Ethylene Ionomers 6.5.4. Polypropylene 6.5.5. Poly(Vinyl Chloride) 6.5.6. Polystyrene and Styrene Copolymers 6.5.7. Thermoplastic Polyesters 6.5.8. Polyamides 6.5.9. Polycarbonates 6.5.10. Barrier Polymers 6.5.11. Foamed Plastics 6.5.12. Polymer Composites 6.5.13. Aluminum‐Polymer Laminates 6.5.14. Metallized Polymers 6.5.15. Polyester Films with Vacuum‐Deposited Silicon Dioxide 6.6. Metal Cans 6.7. Glass Bottles and Wide‐Neck Containers 7. Packaging Machines 7.1. Unit Operations in Packaging Machines 7.1.1. Overwrapping Articles 7.1.2. Welding and Heat Sealing of Packaging Materials 7.1.3. Cold‐Sealing Packaging Materials 7.1.4. Cutting Packaging Materials 7.1.5. Web Tension in Packaging Materials 7.1.6. Thermoforming of Polymers 7.1.7. Processing Folded Boxes 7.1.8. Closing and Sealing Boxes 7.2. Product Dosage in Packaging Machines 7.2.1. Gravimetric Dosage 7.2.2. Volumetric Dosage 7.3. Robots in Packaging 7.4. Aseptic Packaging 8. Interaction between Packaging and Food 8.1. Physical Interactions 8.1.1. Permeation 8.1.2. Migration 8.1.3. Prediction of Diffusion Coefficients 8.1.4. Multilayer Structures 8.1.5. Non‐Fickian Processes 8.2. Chemical Interactions 8.2.1. Production of Off‐Odors 8.2.2. Other Reactions 8.3. Measurement Methods and Migration Limits 8.3.1. Measurement Methods 8.3.2. Migration Limits 8.4. Legal Aspects 8.4.1. General Requirements 8.4.2. European Community 8.4.3. United States 8.4.4. Japan 9. Packaging and the Environment
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