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基于单细胞拉曼技术的口腔病原微生物快速鉴别研究 被引量:1

Rapid Identification of Oral Pathogens Microorganism Based on Single-cell Raman
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摘要 目的:评价单细胞拉曼技术对3种口腔病原微生物的快速分类效能。方法:(1)培养变异链球菌UA159、白色念珠菌ATCC10231和粪肠球菌ATCC29212至稳定期,绘制生长曲线评估生长状态;(2)测量对数和稳定期菌株单细胞拉曼图谱,使用主成分和随机森林分析方法分析光谱。结果:(1)3个菌株的对数期和稳定期均可被拉曼技术快速区分。准确率分别为:99.6%、99.86%、99.60%;(2)单细胞拉曼技术能够快速精确区分稳定期的3种实验菌株,准确率高达99.68%;(3)通过随机森林算法分析得到3种稳定期实验菌株之间的拉曼差异峰分别为:1126~1128 cm^(-1)、736~744 cm^(-1)、1330~1440 cm^(-1)、778~785 cm^(-1)、1001~1003 cm^(-1)和1431~1481 cm^(-1)。其生物学标志分别为:蛋白质、胸腺嘧啶、脂质、胞嘧啶、尿嘧啶、苯丙氨酸、蛋白质。结论:单细胞拉曼光谱可高效区分物种的生长时期和菌株类别。 Objective:To evaluate the efficiency of single-cell Raman technique for rapid classification of three kinds of oral pathogens microorganism.Methods:Streptococcus mutans UA159,Candida albicans ATCC10231,and Enterococcus faecalis ATCC29212 were cultured in each medium respectively until the stationary phase.Cells were sampled and treated as below:(1)inoculated culture was monitored by the optical density at 600 nm to measure bacterial growth.(2)inoculated culture was sampled at logarithmic and stationary phase respectively to measure the Raman spectra.Results:Firstly,the logarithmic phase and stationary phase of three strains could be rapidly distinguished by Raman technique.And the classification accuracy rates of random forest were 99.6%,99.86%,and 99.60%.Secondly,Raman based method could discriminate different oral microbes in stationary phase,and the specificity in classification was 99.68%.Lastly,Raman biomarkers for the classification were 1126-1128 cm^(-1)(protein),736-744 cm^(-1)(thymine),1330-1440 cm^(-1)(lipid),778-785 cm^(-1)(cytosine,uracil),1001-1003 cm^(-1)(phenylalanine),and 1431-1481 cm^(-1)(Marker protein 1451),respectively.Conclusion:Single-cell Raman could be used to differentiate between growth phases of a single species and strain types of difference species.
作者 李姗姗 孙雁斐 郭艺 杨芳 LI Shanshan;SUN Yanfei;GUO Yi;YANG Fang(School of Stomatology, Qingdao University, Qingdao 266003, China;Department of Computer Science and Technology, the Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 200092, China;Stomatology Center, Qingdao Municipal Hospital, Qingdao 266071, China)
出处 《口腔医学研究》 CAS CSCD 北大核心 2021年第9期794-799,共6页 Journal of Oral Science Research
关键词 单细胞拉曼 口腔病原微生物 鉴定 随机森林 主成分分析 single-cell raman spectroscopy oral pathogens microorganism identification random forest PCA
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