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 A_w-based predictions of simulant (OTC surrogate) retention; and 
• layer-placement effects and barrier-property loss in hygroscopic barrier polymers (via water sorption and T_g 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.