mass intensity

The Process Mass Intensity (PMI) Prediction Calculator was created by the ACS GCI Pharmaceutical Roundtable member companies, with leadership from Bristol-Myers Squibb, to predict a range of probable process efficiencies of proposed synthetic routes at various phases of drug development. The tool uses historical PMI data from multiple pharmaceutical companies and predictive analytics (Monte Carlo simulations) to estimate the probable PMI ranges.

Decreasing the overall quantity of materials used to manufacture a final product is a significant challenge for pharmaceutical companies. Because of the large amount of solvent used in typical manufacturing processes, decreasing materials used saves companies money (less purchased and less energy used in workup and isolation). The Process Mass Intensity (PMI) metric was developed as a way to benchmark and quantify improvements towards greener manufacturing processes.