• Acta Optica Sinica
  • Vol. 40, Issue 3, 0330002 (2020)
Chun Feng1、2, Nanjing Zhao1、3、*, Gaofang Yin1, Tingting Gan1, Min Chen1、2, Jinqiang Yang1、4, Jianguo Liu1, and Wenqing Liu1、3
Author Affiliations
  • 1Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Auhui 230031, China
  • 2University of Science and Technology of China, Hefei, Auhui 230026, China
  • 3Anhui University, Hefei, Anhui 230601, China
  • 4Hefei University, Hefei, Anhui 230601, China
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    DOI: 10.3788/AOS202040.0330002 Cite this Article Set citation alerts
    Chun Feng, Nanjing Zhao, Gaofang Yin, Tingting Gan, Min Chen, Jinqiang Yang, Jianguo Liu, Wenqing Liu. Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis[J]. Acta Optica Sinica, 2020, 40(3): 0330002 Copy Citation Text show less
    Spectra of Escherichia coli with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Fig. 1. Spectra of Escherichia coli with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Spectra of of Klebsiella pneumoniae with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Fig. 2. Spectra of of Klebsiella pneumoniae with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Spectra of Staphylococcus aureus with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Fig. 3. Spectra of Staphylococcus aureus with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Spectra of Salmonella typhimurium with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    Fig. 4. Spectra of Salmonella typhimurium with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
    BacteriaSample quantityS1 /%S2 /%S3 /%
    Klebsiella pneumoniae5598.294.593.6
    Staphylococcus aureus10493.3100100
    Salmonella typhimurium5178.494.194.1
    Escherichia coli7091.490.092.9
    Table 1. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration)
    BacteriaSample quantityS1 /%S2 /%S3 /%
    Klebsiella pneumoniae2910096.693.1
    Staphylococcus aureus35100100100
    Salmonella typhimurium2476100100
    Escherichia coli257696.096.0
    Table 2. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration)
    BacteriaSs1s2s3
    Klebsiella pneumoniae98.20-3.7-4.6
    Staphylococcus aureus100-6.300
    Salmonella typhimurium94.1-15.700
    Escherichia coli91.40-1.41.5
    Table 3. Comparison of recognition results of joint similarity and single similarity (low concentration)%
    BacteriaSs1s2s3
    Klebsiella pneumoniae1000-3.4-6.9
    Staphylococcus aureus100000
    Salmonella typhimurium100-2400
    Escherichia coli96-2000
    Table 4. Comparison of recognition results of joint similarity and single similarity (high concentration)%
    Chun Feng, Nanjing Zhao, Gaofang Yin, Tingting Gan, Min Chen, Jinqiang Yang, Jianguo Liu, Wenqing Liu. Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis[J]. Acta Optica Sinica, 2020, 40(3): 0330002
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