The Austrian Research Center for Non-Destructive Testing (RECENDT) is solving challenges of the modern industry by developing next-generation spectroscopic measurement solutions using NIRONE sensors.
NIRONE Sensors and data fusion strategies to combine sensor and multivariate model outputs for multivariate statistical process control
A recent study by Rodrigo R. de Oliveira et al. applied NIRONE sensors in two out of three PAT processes described in the paper for Fluidized bed drying of pharmaceutical granules as well as Polyester production process (paper submitted).
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...
A recent study by Sweelssen et al. in which Spectral Engines NIRONE S Sensor was used in accordance of development of capacitive gas sensor array to measure LNG (Liquefied natural gas). The sensitivity and selectivity of the new sensor was compared to a compact analyzer employing tunable filter infrared spectrometry i.e. Spectral Engine’s NIRONE...
A recent study by Rady et al. at Nottingham University conducted a study in which Spectral Engines NIRONE S sensor was used with machine learning models to identify different powdered food samples from the food and drink sector, including flours, spices and other materials which naturally contain allergens such as gluten.
Study demonstrates the potential of using NIRONE Sensors for measuring the milk fat and protein content
Near-infrared (NIR) spectroscopy has shown promise as an on-farm tool for fat and protein content determination of raw milk. However, milk analysis in the field requires affordable and small NIR sensors. The study by Uusitalo et al. “Comparison of milk analysis performance between NIR laboratory analyzer and miniaturized NIR MEMS sensors”...
Study by University of Catalonia on plastic concentrations in soil shows the applicability of NIRONE Sensors in soil analysis
An interesting study by Arnau Luco Colilles et al at (University of Catalonia) on plastic concentrations in soil showing possibilities of applying Spectral Engines’ NIRONE sensor in soil analysis: “Evaluation of two compact near-infrared spectrometers for the detection of microplastics in soil samples.”
An excellent research article by Robert Zimmerleiter, Julian Kager, Ramin Nikzad-Langerodi, Vladimir Berezhinskiy, Frank Westad, Christoph Herwig & Markus Brandstetter in
The first synthetic plastic was produced in 1907. After 1950’s, the annual production of plastics has increased nearly 200-fold to 381 million tons. Every year, 8 million metric tons of plastic end up in our oceans. In 2025, the annual input is estimated to be about twice greater.1
In 2018, Spectral Engines joined AFarCloud, an international project cluster that aims to provide a distributed platform for autonomous farming. The platform will eventually increase efficiency, enhance productivity and animal health, ensure food quality, and reduce farm labor costs.