FTIR is accepted as the preferred technology to do liquid milk analysis because it provides the most accurate results. The quality of data from any FT-IR instrument is, however, dependent on the prediction models used and maintained on the instrument. This requires reference tests with wet chemistry which is a timely and costly process.
This whitepaper examines how highly-robust FT-IR models can reduce the need for wet chemistry tests without compromising the accuracy of FT-IR tests.
