The effort of creating new near-infrared (NIR) calibration databases often prevents users from upgrading old spectrometers, platforms, or changing from poor-performing vendors. Historical databases collected over years contain crop and production variation that is impossible to emulate in the short term.
This variation is essential in creating robust, stable calibrations that are sensitive to the changing parameters of interest, but insensitive to non-interesting variation. To solve this problem, PerkinElmer has created a calibration database transfer tool.
“Many NIR databases have hundreds of samples in them—some might even have 10-year-old data that still adds value. “The calibration process can be very arduous,” says Wes Shadow, PerkinElmer’s Global Market & Portfolio Manager for Grain.