Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis

Chun Feng; Nanjing Zhao; Gaofang Yin; Tingting Gan; Min Chen; Jinqiang Yang; Jianguo Liu; Wenqing Liu

doi:10.3788/AOS202040.0330002

Acta Optica Sinica, Volume. 40, Issue 3, 0330002(2020)

Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis

Chun Feng^1,2, Nanjing Zhao^1,3、*, Gaofang Yin¹, Tingting Gan¹, Min Chen^1,2, Jinqiang Yang^1,4, Jianguo Liu¹, and Wenqing Liu^1,3

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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Figures & Tables(8)

Fig. 1. Spectra of Escherichia coli with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum

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Fig. 2. Spectra of of Klebsiella pneumoniae with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum

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Fig. 3. Spectra of Staphylococcus aureus with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum

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Fig. 4. Spectra of Salmonella typhimurium with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum

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Table 1. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration)
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Table 1. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration)
Bacteria Sample quantity S₁ /% S₂ /% S₃ /%
Klebsiella pneumoniae 55 98.2 94.5 93.6
Staphylococcus aureus 104 93.3 100 100
Salmonella typhimurium 51 78.4 94.1 94.1
Escherichia coli 70 91.4 90.0 92.9

Table 2. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration)
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Table 2. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration)
Bacteria Sample quantity S₁ /% S₂ /% S₃ /%
Klebsiella pneumoniae 29 100 96.6 93.1
Staphylococcus aureus 35 100 100 100
Salmonella typhimurium 24 76 100 100
Escherichia coli 25 76 96.0 96.0

Table 3. Comparison of recognition results of joint similarity and single similarity (low concentration)%
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Table 3. Comparison of recognition results of joint similarity and single similarity (low concentration)%
Bacteria S s₁ s₂ s₃
Klebsiella pneumoniae 98.2 0 -3.7 -4.6
Staphylococcus aureus 100 -6.3 0 0
Salmonella typhimurium 94.1 -15.7 0 0
Escherichia coli 91.4 0 -1.4 1.5

Table 4. Comparison of recognition results of joint similarity and single similarity (high concentration)%
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Table 4. Comparison of recognition results of joint similarity and single similarity (high concentration)%
Bacteria S s₁ s₂ s₃
Klebsiella pneumoniae 100 0 -3.4 -6.9
Staphylococcus aureus 100 0 0 0
Salmonella typhimurium 100 -24 0 0
Escherichia coli 96 -20 0 0

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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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Paper Information

Category: Spectroscopy

Received: Jun. 24, 2019

Accepted: Oct. 12, 2019

Published Online: Feb. 10, 2020

The Author Email: Zhao Nanjing (njzhao@aiofm.ac.cn)

DOI:10.3788/AOS202040.0330002

Topics

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Lasers and Laser Optics

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Table 1. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration)

Table 1. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (low concentration)

Table 2. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration)

Table 2. Results of similarity recognition of four pathogenic bacteria in band of 200-900 nm (high concentration)

Table 3. Comparison of recognition results of joint similarity and single similarity (low concentration)%

Table 3. Comparison of recognition results of joint similarity and single similarity (low concentration)%

Table 4. Comparison of recognition results of joint similarity and single similarity (high concentration)%

Table 4. Comparison of recognition results of joint similarity and single similarity (high concentration)%