Highly position-controlled ZnO nanowire arrays are grown on a SiO2-mask-patterned GaN substrate by hydrothermal method. The morphology of ZnO nanowires (NWs) can be modulated, and a comprehensive study is conducted for the first time. The morphology relies on the nucleation process that can be adjusted by varying growth time and solution concentration. Spectral responsibility curve and electroluminescent characteristics (EL) are measured, which both present great ultraviolet (UV) photoelectric properties. Meanwhile, the position of ZnO NWs is highly controllable as designed and the morphology of NWs are largely consistent, which pave the way to fabricate the high performance device resulting from the interaction between light.
Tunable diode laser absorption spectroscopy (TDLAS) technology is one of the spectral detection technologies, and its advantages include high selectivity, high sensitivity, and fast response speed. The detection accuracy of the TDLAS gas detection system is closely related to the calibration curve. When calibrating, the least-squares algorithm is often used for fitting. However, the fitting algorithm is inaccurate in the inversion of the coefficient matrix, which causes the system to detect excessive gas concentration errors. Therefore, an improved LS algorithm is proposed to solve the above problems. The experiment is verified by detecting the concentration of carbon dioxide gas. The central wavelength of the gas is selected at 1573.2 nm, and the range to be measured is 10%~30%. The error sum of the improved fitting algorithm is 3.1955×10-5, the mean square error is 5.3259×10-6, the standard deviation is 2.3×10-3, and the correlation coefficient is 0.9998. In the whole concentration range, the absolute value of the relative error of the gas concentration obtained by its inversion is less than 3.0479%. The reliability of the improved fitting algorithm is verified, the fitting effect is improved, and the accuracy of TDLAS gas detection is improved.
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