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A high-sensitivity bioaerosol monitor based on a single 365 nm LED is developed and a calibration approach is discussed for the first time. The fluorescence detection system, which is the core part of the monitor, contains an optical detection module and a fluorescence signal processor configured with a phase sensitive detector (PSD). B800 fluorescent microspheres and staphylococcus are used for performance evaluation of the monitor. B800 microspheres are appropriate as calibration material. The experimental results demonstrate the PSD plays a significant role in improving sensitivity and signal-to-noise ratio (SNR) of detection. Our monitor can detect staphylococcus concentration above 1800 cfu/L of air stably.
A high-sensitivity bioaerosol monitor based on a single 365 nm LED is developed and a calibration approach is discussed for the first time. The fluorescence detection system, which is the core part of the monitor, contains an optical detection module and a fluorescence signal processor configured with a phase sensitive detector (PSD). B800 fluorescent microspheres and staphylococcus are used for performance evaluation of the monitor. B800 microspheres are appropriate as calibration material. The experimental results demonstrate the PSD plays a significant role in improving sensitivity and signal-to-noise ratio (SNR) of detection. Our monitor can detect staphylococcus concentration above 1800 cfu/L of air stably.
obtained to provide sufficient atmospheric data for the following simulation of the system performance. Finally, the signaltonoise ratio of the total fluorescence spectroscopy system (Fig. 9) and the that of the 360 -370 nm channel system (Fig. 10) are calculated.The results show that the atmospheric conditions largely affect the detection performance of the system : the higher the atmospheric visibility, the longer the effective detection distance of the system. Comparing the two atmospheric environments of visibility of 23 km and 3 km, the difference in the effective detection distance for different working hours is 2 -4 times. The working hours of the system also have a great impact on the detection performance. The detection performance of the system during daytime is poor and the difference between different time periods is small, while the effective detection distance of the system is generally increased (at least doubling) at night because the intensity of the atmospheric background radiation is greatly reduced, and the higher the atmospheric visibility, the larger the increase. Under the visibility of 23 km, the effective detection distance at night is 3.7 times that at the daytime. At the same time, the effective detection distance of the aerosol biological detection based on the total fluorescence intensity is higher than that of the aerosol biological component identification based on the spectrally distinguishable fluorescence intensity, and the former is more significantly affected by atmospheric conditions, i. e., good atmospheric conditions will bring higher improvement to the aerosol biological detection function.Conclusions In this paper, the detection performance of LIF lidar under different atmospheric conditions is evaluated through simulations. The LIF lidar is suitable for biofluorescence measurements at night because of the high atmospheric background radiation intensity in the fluorescence band. The decrease of atmospheric visibility leads to the decrease of background radiation intensity and also the decrease of transmittance of broad fluorescence spectrum , which in turn leads to the decrease of LIF lidar detection performance, but the influence is far less than the effect of changing operating hours between daytime and night. The most suitable working environment for LIF lidar is the night with high visibility.
Biological aerosols which could cause diseases of human beings, animals and plants, are living particles suspended in the atmosphere. Ultraviolet laser induced fluorescence has been developed as a standard technique used to discriminate between biological and non-biological particles. As an effective tool of remote sensing, fluorescence lidar is capable of detecting concentration of biological aerosols with high spatial and temporal resolutions. Intrinsic fluorescence, one of the most important characteristics of biological aerosols, has quite a large effect on the performances of fluorescence lidar. To investigate the effects of intrinsic fluorescence on biological aerosols, we design an ultraviolet laser induced fluorescence lidar at an excited wavelength of 266 nm, with a repetition rate of 10 Hz. Fluorescence signals are collected by a Cassegrain telescope with a diameter of 254 mm, in which fluorescence spectra of 300-800 nm are mainly considered. A spectrograph and a multichannel photomultiplier tube (PMT) array detector are employed to achieve the fine separation and highefficiency detection of fluorescence signals. According to the present configuration, we perform a series of simulations to estimate the measurement range and the concentration resolution of biological aerosols, with a certain pulse energy. With a relative error less than 10%, theoretical analysis shows that designed fluorescence lidar is able to detect the biological aerosols within a range of 1.5 km at a concentration of 1000 particles·L-1. When the detection distance enlarges to 2.1 km, detectable wavelength range is limited to 300-310 nm. In addition, the lidar is capable of identifying minimum concentrations of biological aerosols with 2 particles·L-1 and 4 particles·L-1 at fluorescence wavelengths of 350 nm and 600 nm, respectively, where the induced pulse energy is set to be 60 mJ and detected range 0.1 km. With setting energies of 40 mJ and 20 mJ, minimum concentrations of biological aerosols decrease to 3 particles·L-1 and 6 particles·L-1, respectively, at a fluorescence wavelength of 350 nm. The relative error of minimum concentration resolution is about 2 particles·L-1, increasing rapidly with range. For a fluorescence wavelength of 600 nm, both the minimum concentration and the relative error show relatively high values, 5 particles·L-1 at 40 mJ and 10 particles·L-1 at 20 mJ, where the relative errors are found to be 2 particles·L-1 and 4 particles·L-1, respectively. The results prove that a shorter intrinsic fluorescence wavelength has a better effect on biological aerosol measurement. We believe that a proper intrinsic fluorescence wavelength will further improve the detection accuracy of biological aerosols.
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