0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Wide-Range, Rapid, and Specific Identification of Pathogenic Bacteria by Surface-Enhanced Raman Spectroscopy

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is of great importance for clinical diagnosis, biosecurity, and public health. However, most traditional approaches, such as microbial cultures, are time-consuming and laborious. To circumvent these problems, surface-enhanced Raman spectroscopy (SERS) appears to be a powerful technique to characterize bacteria at the single-cell level. Here, by SERS, we report a strategy for the rapid and specific detection of 22 strains of common pathogenic bacteria. A novel and high-quality silver nanorod SERS substrate, prepared by the facile interface self-assembly method, was utilized to acquire the chemical fingerprint information of pathogens with improved sensitivity. We also applied the mathematical analysis methods, such as the t-test and receiver operating characteristic method, to determine the Raman features of these 22 strains and demonstrate the clear identification of most bacteria (20 strains) from the rest and also the reliability of this SERS sensor. This rapid and specific strategy for wide-range bacterial detection offers significant advantages over existing approaches and sets the base for automated and onsite detection of pathogenic bacteria in a complex real-life situation.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: not found
          • Article: not found

          Optical Constants of the Noble Metals

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Pathogen detection: a perspective of traditional methods and biosensors.

            The detection of pathogenic bacteria is key to the prevention and identification of problems related to health and safety. Legislation is particularly tough in areas such as the food industry, where failure to detect an infection may have terrible consequences. In spite of the real need for obtaining analytical results in the shortest time possible, traditional and standard bacterial detection methods may take up to 7 or 8 days to yield an answer. This is clearly insufficient, and many researchers have recently geared their efforts towards the development of rapid methods. The advent of new technologies, namely biosensors, has brought in new and promising approaches. However, much research and development work is still needed before biosensors become a real and trustworthy alternative. This review not only offers an overview of trends in the area of pathogen detection but it also describes main techniques, traditional methods, and recent developments in the field of pathogen bacteria biosensors.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Surface-Enhanced Raman Spectroscopy for Bioanalysis: Reliability and Challenges

                Bookmark

                Author and article information

                Journal
                ACS Sens
                ACS Sens
                se
                ascefj
                ACS Sensors
                American Chemical Society
                2379-3694
                20 July 2021
                27 August 2021
                : 6
                : 8
                : 2911-2919
                Affiliations
                []CAS Key Laboratory of Design and Assembly of Functional Nanostructures, and Fujian Provincial Key Laboratory of Nanomaterials, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences , Fuzhou 350002, China
                []Department of Translational Medicine, Xiamen Institute of Rare Earth Materials, Chinese Academy of Sciences , Xiamen 361021, China
                [§ ]University of Chinese Academy of Sciences , Beijing 100049, China
                []State Key Laboratory of Biochemical Engineering, PLA Key Laboratory of Biopharmaceutical Production & Formulation Engineering, Institute of Process Engineering, Chinese Academy of Sciences , Beijing 100190, China
                []Institute of Medical Equipment, Academy of Military Sciences , Tianjin 300161, China
                [# ]Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Institute of Molecular Biology & Biochemistry, Medical University of Graz , Neue Stiftingtalstrasse 6, 8010 Graz, Austria
                []BioTechMed-Graz , Graz, Austria
                []State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology , Beijing 100071, China
                []Anti-plague Institute Hebei Province , Zhangjiakou 075000, China
                Author notes
                Author information
                https://orcid.org/0000-0002-9725-5231
                https://orcid.org/0000-0001-6288-4671
                Article
                10.1021/acssensors.1c00641
                8406416
                34282892
                6bf3b872-4e9d-431c-b49e-40959ce7125e
                © 2021 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 30 March 2021
                : 13 July 2021
                Funding
                Funded by: Fujian Provincial Development and Reform Commission, doi NA;
                Award ID: NA
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 21403176
                Funded by: Integrative Metabolism Research Center, Medical University of Graz, doi NA;
                Award ID: NA
                Funded by: Key Project of 2017 in Xiamen District of Fuxiaquan National Independent Innovation Demonstration Zone, doi NA;
                Award ID: 3502ZCQ20171002
                Funded by: BioTechMed, University of Graz, doi NA;
                Award ID: NA
                Funded by: Beijing Nova Program, doi 10.13039/501100005090;
                Award ID: Z191100001119005
                Funded by: National Defense Science and Technology, doi NA;
                Award ID: 18-163-12-ZT-005-016-01
                Funded by: ??sterreichische Forschungsf??rderungsgesellschaft, doi 10.13039/501100004955;
                Award ID: 870454
                Funded by: Provincial Government of Styria, doi NA;
                Award ID: NA
                Funded by: ??sterreichische Forschungsf??rderungsgesellschaft, doi 10.13039/501100004955;
                Award ID: 864690
                Funded by: Natural Science Foundation of Fujian Province, doi 10.13039/501100003392;
                Award ID: 2019J01123
                Funded by: Ministry of Science and Technology of the People''s Republic of China, doi 10.13039/501100002855;
                Award ID: 2019YFC1606602
                Funded by: Ministry of Science and Technology of the People''s Republic of China, doi 10.13039/501100002855;
                Award ID: 2019YFC1606600
                Funded by: Austrian Science Fund, doi 10.13039/501100002428;
                Award ID: P28854
                Funded by: Austrian Science Fund, doi 10.13039/501100002428;
                Award ID: I3792
                Funded by: Austrian Science Fund, doi 10.13039/501100002428;
                Award ID: DK-MCD W1226
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 21773246
                Categories
                Article
                Custom metadata
                se1c00641
                se1c00641

                agnr substrate,bacterial diagnostics,label-free,pathogenic bacteria,receiver operating characteristic analysis,surface-enhanced raman spectroscopy (sers)

                Comments

                Comment on this article