Rapid SERS identification of methicillin-susceptible and methicillin-resistant Staphylococcus aureus via aptamer recognition and deep learning
文献类型:期刊论文
作者 | Wang, Shu1,2; Dong, Hao1,2; Shen, Wanzhu4; Yang, Yong1,2![]() ![]() ![]() ![]() |
刊名 | RSC ADVANCES
![]() |
出版日期 | 2021-10-25 |
卷号 | 11 |
DOI | 10.1039/d1ra05778b |
通讯作者 | Wang, Chongwen(wangchongwen1987@126.com) ; Gu, Bing(gb20031129@163.com) ; Zhang, Long(zhanglong@aiofm.ac.cn) |
英文摘要 | Here, we report a label-free surface-enhanced Raman scattering (SERS) method for the rapid and accurate identification of methicillin-susceptible Staphylococcus aureus (MSSA) and methicillin-resistant Staphylococcus aureus (MRSA) based on aptamer-guided AgNP enhancement and convolutional neural network (CNN) classification. Sixty clinical isolates of Staphylococcus aureus (S. aureus), comprising 30 strains of MSSA and 30 strains of MRSA were used to build the CNN classification model. The developed method exhibited 100% identification accuracy for MSSA and MRSA, and is thus a promising tool for the rapid detection of drug-sensitive and drug-resistant bacterial strains. |
WOS关键词 | RAMAN-SPECTROSCOPY ; BACTERIA ; LABEL ; NANOPARTICLES |
资助项目 | National Natural Science Foundation of China[81871734] ; National Natural Science Foundation of China[81471994] ; Natural Science Foundation of Anhui Province[1908085QB85] ; Postgraduate Research & Practice Innovation Program of Jiangsu Province[KYCX20_2472] ; Medical instrument supervise program of Hefei institute of physical science of CAS[YZJJ2021-J-YQ4] |
WOS研究方向 | Chemistry |
语种 | 英语 |
WOS记录号 | WOS:000710635200001 |
出版者 | ROYAL SOC CHEMISTRY |
资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Anhui Province ; Postgraduate Research & Practice Innovation Program of Jiangsu Province ; Medical instrument supervise program of Hefei institute of physical science of CAS |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/125723] ![]() |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Wang, Chongwen; Gu, Bing; Zhang, Long |
作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230036, Peoples R China 2.Univ Sci & Technol China, Hefei 230036, Peoples R China 3.Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Lab Med, Guangzhou 510000, Peoples R China 4.Anhui Agr Univ, Hefei 230036, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Shu,Dong, Hao,Shen, Wanzhu,et al. Rapid SERS identification of methicillin-susceptible and methicillin-resistant Staphylococcus aureus via aptamer recognition and deep learning[J]. RSC ADVANCES,2021,11. |
APA | Wang, Shu.,Dong, Hao.,Shen, Wanzhu.,Yang, Yong.,Li, Zhigang.,...&Zhang, Long.(2021).Rapid SERS identification of methicillin-susceptible and methicillin-resistant Staphylococcus aureus via aptamer recognition and deep learning.RSC ADVANCES,11. |
MLA | Wang, Shu,et al."Rapid SERS identification of methicillin-susceptible and methicillin-resistant Staphylococcus aureus via aptamer recognition and deep learning".RSC ADVANCES 11(2021). |
入库方式: OAI收割
来源:合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。