
SENSOR CALIBRATION
AIR QUALITY MONITORING
HIGH PRECISION
Developing a sensor able to detect sensitivity below the part-per-billion range on selected chemicals
CNR-INO is developing and testing a photoacoustic trace-gas sensor. The sensor is based on the photoacoustic technique, where a gaseous sample is periodically excited with a modulated laser. The excitation and the subsequent non-radiative de-excitation of the excited molecules produce an acoustic wave in the gaseous sample, which is proportional to the target gas concentration.
CNR-INO uses a MEMS cantilever acting as acoustic transducers and a balanced interferometer to transform the acoustic wave into a measurable signal. The sensor is aimed at achieving a detection sensitivity below the part-per-billion range on selected chemicals. It will be used for environmental monitoring, safety and security on ongoing projects. At present, the sensor is under development, with ongoing characterization activities.
For determining the ultimate sensitivity and for validating the sensor, we are using N2O and CO in N2 as target samples. For this tests we need to prepare different samples with various gas concentrations, by mixing gases from certified bottles. The MCQ instrument’s Gas Blender is used to mix different gaseous samples from certified bottles, in order to achieve the desired gas mixture and the desired pressure.

Instead of using simple valves for mixing the different gaseous samples, with rough precision, the MCQ Instruments Gas Mixer provided higher precision in the gas mixture, repeatability and speed.
The National Institute of Optics (Istituto Nazionale di Ottica, CNR-INO) has been working for over ninety years in the broad field of Optics, updating its activities in line with the huge innovations that have characterized this area over the last century. Its main activities include pure and applied research, technology transfer, and training. These are accompanied by metrology, consulting, and testing services for both public institutions and private companies.
Ref: CNR INO Website