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Updated: Jun 10, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
Published on: March 22, 2019
Orthogonal phase modulation and Lissajous mode decoupling in light-induced thermoelastic spectroscopy for real-time
Hanxu Ma1,2, Shunda Qiao1, Ying He1
1Zhengzhou Advanced Research Institute of Harbin Institute of Technology, Zhengzhou 450008, People's Republic of China.
None:
This paper proposed an optical detection mechanism that utilized orthogonal phase modulation (OPM) and Lissajous mode decoupling within a light-induced thermoelastic spectroscopy (LITES) sensor for the first time, enabling real-time multi-component gas sensing. By establishing a two-dimensional forced vibration model of a quartz tuning fork (QTF) under dual-path OPM, it revealed the vibration mode coupling mechanism induced by non-ideal phase and amplitude conditions, thereby providing a theoretical basis and optimization pathway for suppressing channel crosstalk. In the OPM-LITES sensor, two continuous-wave distributed feedback lasers were modulated by sinusoidal waves with the same frequency (f0/2, wheref0is the resonant frequency of the QTF) but a phase difference of 45°. The combined beam, after wavelength division multiplexing, co-excited the self-designed low-frequency QTF. The piezoelectric signal generated by the QTF underwent orthogonal demodulation via a lock-in amplifier (LIA). The concentration information for the two gases was independently retrieved from the decoupledX-component andY-component of the LIA. Experimental results demonstrated that the OPM-LITES sensor exhibited excellent linear responses to both methane (CH4) and acetylene (C2H2), with average relative systematic errors of 0.54% and 0.79%, and maximum relative errors of 1.72% and 1.38%, respectively. Allan deviation analysis indicated that the minimum detection limits (MDLs) for CH4and C2H2reached 0.32 ppm and 0.29 ppm, with normalized noise-equivalent absorption coefficients of 5.09 × 10-9cm-1·W·Hz-1/2and 6.18 × 10-9cm-1·W·Hz-1/2, respectively. This study not only provided a simple and efficient solution for real-time multi-component gas detection but also established a novel theoretical framework for mode decoupling and signal processing in spectroscopic sensing.
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