Our proprietary MIST-X® (Multiple Ion Simulation Technology) software provides accurate information about how ion exchange resins will perform under specific conditions. By simulating various performance scenarios in a virtual environment, our experts can help you determine the most efficient and cost-effective solution for each water challenge.

Numerous ion exchange resins exist to remove specific contaminants from liquids at each stage of operation. The effectiveness of each potential resin varies depending on the specific & changing operational conditions.

Selecting the best resin (or combination of resins) and the optimal sequence for a particular challenge is an exhaustive, time-consuming exercise with traditional column tests in a pilot plant study. Such studies may take a year or more to complete, especially when targeting trace substances with selective ion exchangers. MIST-X® generates the same data as pilot studies in a tiny fraction of the time and in far greater detail.

Multiple Ion Simulation Technology (MIST-X®), exclusively from ResinTech®, allows engineers the convenience of modeling different scenarios in a virtual setting. A comprehensive mathematical model of an ion exchange resin bed based on equilibrium and kinetic relationships, MIST-X® calculates the equilibrium between the resin and each ion in solution as the liquid passes through the resin. Typically, there are several million such calculations for a single exhaustion cycle.

MIST-X® can forecast how many operating cycles it will take to react to changes in operation before returning to stable operation. It allows direct comparison of performance for changes in regenerant dose levels, bed height, flow rates, countercurrent versus co-current regeneration, endpoint termination criteria, etc. Variations in operating conditions can be studied quickly and efficiently. The results are generally displayed graphically but can also be presented in tabular format. There is virtually no limit to the number of ions, valences or number of exhaustion and regeneration cycles that can be studied.


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