基于光谱相似性分析的水体致病菌种类识别方法 
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Recognition of Waterborne Pathogens Based on Spectral Similarity Analysis
1 中国科学院安徽光学精密机械研究所中国科学院环境光学与技术重点实验室, 安徽 合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
3 安徽大学, 安徽 合肥 230601
4 合肥学院, 安徽 合肥 230601
图 & 表
图 1. 不同浓度大肠埃希菌的光谱图。(a)多波长透射光谱图;(b)总和归一化图
Fig. 1. Spectra of Escherichia coli with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
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图 2. 不同浓度肺炎克雷伯氏菌的光谱图。(a)多波长透射光谱图;(b)总和归一化图
Fig. 2. Spectra of of Klebsiella pneumoniae with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
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图 3. 不同浓度金黄色葡萄球菌的光谱图。(a)多波长透射光谱图;(b)总和归一化图
Fig. 3. Spectra of Staphylococcus aureus with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
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图 4. 不同浓度鼠伤寒沙门氏菌的光谱图。(a)多波长透射光谱图;(b)总和归一化图
Fig. 4. Spectra of Salmonella typhimurium with different concentrations. (a) Multiwavelength transmission spectra; (b) sum normalization spectrum
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表 14种致病菌在200~900 nm波段的相似度识别结果(低浓度)
Table1. 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 |
|
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表 24种致病菌在200~900 nm波段的相似度识别结果(高浓度)
Table2. 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 |
|
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表 3联合相似度与单一相似度的识别结果对比(低浓度)
Table3. 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 |
|
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表 4联合相似度与单一相似度的识别结果对比(高浓度)
Table4. 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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冯春, 赵南京, 殷高方, 甘婷婷, 陈敏, 杨金强, 刘建国, 刘文清. 基于光谱相似性分析的水体致病菌种类识别方法[J]. 光学学报, 2020, 40(3): 0330002. 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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