The PolySense and Polysense Innovations teams have just published a new article on Sensors and Actuators B Chemical Journal Elsevier (IF 7.7) reporting on an investigation of the relaxation dynamics of the ν3 energy level of nitrous oxide (N2O) molecules in synthetic air using a 4.5 μm distributed feedback quantum cascade laser (DFB-QCL) combined with Leggi di piùNew Publication on Sensors and Actuators B Chemical Journal[…]
The PolySense team has just published a new article on OSA Optics Express (IF 3.3) reporting on a broadband gas sensor based on direct absorption spectroscopy in the mid-infrared range for the simultaneous detection of methane, ethane, and propane in natural gas-like mixtures. The system employs a broadband supercontinuum light source, coupled with an absorption Leggi di piùNew Publication on OSA Optics Express Journal[…]
The PolySense team has just published a new article on Sensors and Actuators B Chemical Journal Elsevier (IF 7.7) reporting on a highly sensitive gas sensor based on tunable diode laser absorption spectroscopy (TDLAS) for HF monitoring in GeF₄ matrices. The system employs a distributed feedback diode laser operating at 1.278 μm, targeting the HF Leggi di piùNew Publication on Sensors and Actuators B Chemical Journal[…]
The PolySense team has just published a new article on Sensors and Actuators A: physical journal (IF 4.9) reporting on a single-pass optical sensor designed for the detection of a broadband absorption feature of benzene. It is based on light-induced thermoelastic absorption spectroscopy (LITES) employing a novel InAs/AlSb-based quantum cascade laser source emitting at 14.85 Leggi di piùNew Publication on Sensors and Actuators A: physical Journal[…]
The PolySense team has just published a new article on Sensors MPDI journal (IF 3.5) reporting on the development of compact electronic modules for a QEPAS sensor. A very low-noise, fully differential preamplifier for the quartz tuning fork, with digital output and programmable gain, has been designed and realized. A compact FPGA board hosts both Leggi di piùNew Publication on Sensors Journal[…]
Polysense is proud to announce that, for the sixth consecutive year, our team members have been recognized among the Top 2% of Scientists in the world, according to the prestigious ranking by Stanford University. This year, six of our researchers achieved this remarkable distinction! Vincenzo Spagnolo is featured in the Full Career Top 2% Scientists Leggi di piùSix Polysense Team members listed in the 2024 Top 2% Scientists in the world by Stanford University[…]
The PolySense team has just published a new article on Advanced Materials Technologies Journal (IF 6.2) reporting on the development and experimental validation of a full-domain 3D digital twin for a SSAW device based on 128° YX LiNbO3 ,commonly used for acoustofluidic applications. The model is developed in COMSOL Multiphysics to accurately capture the electromechanical Leggi di piùNew Publication on Advanced Materials Technologies Journal[…]
The PolySense team has just published a new article on Sensors and Actuators B Chemical Journal Elsevier (IF 7.7) reporting on a study on the H2 spectral properties and a comparison between two different piezoelectric resonators employed as infrared detectors for hydrogen sensing are reported. A quartz tuning fork (QTF) and a lithium niobate tuning Leggi di piùNew Publication on Sensors and Actuators B Chemical Journal[…]
The PolySense team has just published a new article on Optics & Laser Technology journal (IF 5.0) reporting on a Quartz-Enhanced Photoacoustic Spectroscopy (QEPAS)-based sensor for sequentially measuring carbon monoxide (CO), nitrous oxide (N2O), and water vapor emissions near vehicle exhaust pipes. With detection limits of 150 ppb for N2O and 91 ppb for CO, this sensor Leggi di piùNew Publication on Optics & Laser Technology Journal[…]
The PolySense team has just published a new article on Photoacoustics Journal Elsevier (IF 6.8) reporting on a novel approach for gas concentration measurement using a differential resonant photoacoustic cellcombined with a deep learning-based signal denoising model. This method addresses the persistent challenge of noise interference in 2 f signals at low gas concentrations, where Leggi di piùNew Publication on Photoacoustics Journal[…]