Abstract
The acetone can be regarded as one of the respiratory biomarkers for lung cancer, the detection of acetone in human exhaled gas has great important for early lung cancer screening. Based on Tunable Diode Laser Absorption Spectroscopy (TDLAS), a system for detecting acetone in exhaled gas has been developed, a multi-pass gas cell (MPGC), which has a 76 m effective absorption optical path, as well as a 7.32 μm quantum cascade laser (QCL) were adopted in the detection system. In order to confirm the function of the system, a gas distribution station equipped with standard concentrations of acetone was used. Empirical mode decomposition (EMD) algorithm as a spectral pre-processing algorithm was implemented to reduce the noise from the second harmonic signal (2f signal), using an orthogonal lock-in amplifier based on LabVIEW to demodulate the detector signal. Fireworks algorithm with the least squares support vector machine (FWA-LSSVM) was designed to improve the accuracy and sensitivity of acetone gas concentration inversion. The limits of detection (LoD) of the sensor system can be found the middle value of up to ∼ 21.4 parts per billion (ppb) with a 78 s integration time by Allan-Werle deviation analysis. The exhaled breath experiment showed that the sensor provides a promising way for the detection of acetone in human exhaled breath.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
