• Spectroscopy and Spectral Analysis
  • Vol. 37, Issue 2, 333 (2017)
WANG Jiu-yue*, ZHAO Nan-jing, DUAN Jing-bo, MENG De-shuo, FANG Li, YANG Rui-fang, XIAO Xue, YIN Gao-fang, MA Ming-jun, LIU Jian-guo, and LIU Wen-qing
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  • [in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2017)02-0333-05 Cite this Article
    WANG Jiu-yue, ZHAO Nan-jing, DUAN Jing-bo, MENG De-shuo, FANG Li, YANG Rui-fang, XIAO Xue, YIN Gao-fang, MA Ming-jun, LIU Jian-guo, LIU Wen-qing. Rapid Quantitative Detection of Bacterial in Water Based on Multi-Wavelength Scattering Spectra[J]. Spectroscopy and Spectral Analysis, 2017, 37(2): 333 Copy Citation Text show less

    Abstract

    The structures of bacterial cells are analyzed in this paper. The scattering components of individual cell were divided into two parts including external structure and internal structure. The interpretation model of bacteria about scattering light is established. The model is used to analyze the scattering light of Escherichia coli in the region of 400~900 nm. The average size of external structure and the internal structure can be obtained, and the ratio of the two parts is also obtained. According to the relationship of the optical density of single cell and the overall measurement, the concentration of bacterial can be obtained quickly. The maximum difference in all the concentrations of the bacteria repeated measurements is 183%; compared with the plate culture method, the measurement results were in the same order of magnitude, with relative error of 343%. The scattering light of Escherichia coli and Klebsiella pneumoniae are analyzed in different growth stages, the curves of the concentration and the size of the two species bacteria over time are obtained. The results can provide a quick way for the study of bacterial growth and technical support for rapid detection of bacteria in the water.
    WANG Jiu-yue, ZHAO Nan-jing, DUAN Jing-bo, MENG De-shuo, FANG Li, YANG Rui-fang, XIAO Xue, YIN Gao-fang, MA Ming-jun, LIU Jian-guo, LIU Wen-qing. Rapid Quantitative Detection of Bacterial in Water Based on Multi-Wavelength Scattering Spectra[J]. Spectroscopy and Spectral Analysis, 2017, 37(2): 333
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