A recent study by Claudio Avila et al. applied Spectral Engines NIRONE sensors in a process analytics and control study. The sensors were used to evaluate the accuracy, robustness, and reliability of the spectral response obtained from the NIRONE Micro Electro Mechanical System Fabry-Perot Interferometer (MEMSFPI) sensor by monitoring the moisture content during the drying of pharmaceutical granules in a pilot-scale fluidized bed dryer.
Near infrared spectroscopy (NIR) has been established as a key tool for process analysis technology (PAT) in pharmaceutical applications, among others. NIR is an effective technique for chemical data collection to process development as well as for monitoring and control during the pharmaceutical manufacturing processes. However, the cost and measurement robustness have remained barriers to widespread implementation in the pharmaceutical industry
The NIRONE Sensors are a robust alternative for process monitoring. These are robust to vibration and temperature changes and easy to install. According to the researchers: “The NIR spectra of the NIRONE sensors are of a sufficient quality to deliver composition related predictions with the same accuracy as commercial spectrometers in a system with an extremely low signal to noise ratio. The MEMS chip spectrometer can be mass-produced and has a small enough form factor to be integrated into the next generation of plant sensors. "Besides, it is cheap enough to allow multi point composition sensing in the way that is done to day for temperature, pressure and flow rate measurement.”
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