A tool used to estimate the longevity of a product under normal storage conditions by subjecting it to elevated temperatures, humidity, or other stress factors. The resulting data is then extrapolated, using mathematical models, to predict how the product will degrade over time at typical environmental parameters. For instance, a food manufacturer might utilize this type of instrument to project the expiration date of a new snack food by storing samples at high heat and humidity levels for a compressed timeframe.
Employing such methodologies offers significant advantages for manufacturers across various industries. It allows for faster product development cycles by reducing the time needed to determine stability and potential degradation pathways. This enables quicker market entry and informs crucial decisions regarding packaging optimization and formulation adjustments to improve product shelf life. Historically, these assessments were conducted through long-term real-time studies, which could delay product launches considerably.
