| 光谱学与光谱分析 |
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| Development of a Portable Mid-Infrared Rapid Analyzer for Oil Concentration in Water Based on MEMS Linear Sensor Array |
| GAO Zhi-fan, ZENG Li-bo, SHI Lei, LI Kai, YANG Yuan-zhou, WU Qiong-shui* |
| Electronic Information School, Wuhan University, Wuhan 430079, China |
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Abstract Aiming at the existing problems such as weak environmental adaptability, low analytic efficiency and poor measuring repeatability in the traditional spectral oil analyzers, the present paper designed a portable mid-infrared rapid analyzer for oil concentration in water. To reduce the volume of the instrument, the non-symmetrical folding M-type Czerny-Turner optical structure was adopted in the core optical path. With a periodically rotating chopper, controlled by digital PID algorithm, applied for infrared light modulation, the modulating accuracy reached ±0.5%. Different from traditional grating-scanning spectrophotometers, this instrument used a fixed grating for light dispersion and avoided rotating error in the course of the measuring procedures. A new-type MEMS infrared linear sensor array was applied for modulated spectral signals detection, which improved the measuring efficiency remarkably. Optical simulation and experimental results indicate that the spectral range is 2 800～3 200 cm-1, the spectral resolution is 6 cm-1 (@3 130 cm-1), and the signal to noise ratio is up to 5 200∶1. The acquisition time is 13 milliseconds per spectrogram, and the standard deviation of absorbance is less than 3×10-3. These performances meet the standards of oil concentration measurements perfectly. Compared with traditional infrared spectral analyzers for oil concentration, the instrument demonstrated in this paper has many advantages such as smaller size, more efficiency, higher precision, and stronger vibration&moisture isolation. In addition, the proposed instrument is especially suitable for the environmental monitoring departments to implement real-time measurements in the field for oil concentration in water, hence it has broad prospects of application in the field of water quality monitoring.
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Received: 2013-08-05
Accepted: 2013-11-03
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Corresponding Authors:
WU Qiong-shui
E-mail: qswu@whu.edu.cn
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