The selection of suitable solvents for chemical processes requires the
consideration of many kinds of information (molecular, physico-chemic
al, safety, health, environmental, regulatory). While experimentally-v
erified data is clearly the most desirable, there may be many situatio
ns in which it is neither available nor readily accessible. In these c
ases, the only recourse is the use of property-estimation models. We d
escribe SMART (Solvent Measurement, Assessment and Revamping Tool), an
integrated software system developed in our research group for rapidl
y identifying and assessing solvents for batch processes, that employs
both empirical data and property-estimation methods. With respect to
the latter, we also introduce a new conjugation-based method for the e
stimation of reaction rates in solution, useful for screening solvents
to be employed as reaction media.