Container modeling and shelf-life prediction can be highly cost-effective as a way to 'test' multiple variables, particularly if they are container-design or -material variables. Using industry-standard software based on permeation/diffusion fundamentals, we analyze and predict whole-package ingress/egress as well as permeant interactions with product. Rigids, flexibles and closures are addressable. Selected examples will be given in PET, polyolefins or engineered-barrier structures of:
- SLLF determination by means of rapid prediction of oxidation and vitamin-destruction limit tests;
- filled-package (surrogate or product) long-term dO2 test-curve predictions and interpretation;
- dry-product isotherm development for clumping/crispness prediction in foods and food supplements, including H2O partitioning in product, HS and wall materials;
- test-matrix reduction using Aw-based predictions of simulant (OTC surrogate) retention; and
- layer-placement effects and barrier-property loss in hygroscopic barrier polymers (via water sorption and Tg simulation).
- We can simulate empty or filled containers at several levels of fidelity, ranging from simple OTR to O2-scavenger depletion, to lipid or vitamin oxidation,to dry-product isotherms.
- We can now create and 'test' whole arrays of package design parameters with greatly-reduced tooling trials or part making or stability tests.
- Using modeling software such as M-RULE® we can predict scalable final-part performance and design to meet functional requirements – how much package material 'will do the job' – thus reducing material usage. Additionally, confirmation of empirically verifiable (testable) parameters will be discussed.