Single bacteria identification by Raman spectroscopy

被引:59
|
作者
Strola, Samy Andrea [1 ]
Baritaux, Jean-Charles [1 ]
Schultz, Emmanuelle [1 ]
Simon, Anne Catherine [2 ]
Allier, Cedric [1 ]
Espagnon, Isabelle [2 ]
Jary, Dorothee [1 ]
Dinten, Jean-Marc [1 ]
机构
[1] CEA, LETI, F-38054 Grenoble 9, France
[2] CEA, LIST, F-91191 Gif Sur Yvette, France
关键词
Raman spectroscopy; lensfree imaging; bacteria identification; bacteria chemical fingerprint; MICROSCOPY;
D O I
10.1117/1.JBO.19.11.111610
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We report on rapid identification of single bacteria using a low-cost, compact, Raman spectroscope. We demonstrate that a 60-s procedure is sufficient to acquire a comprehensive Raman spectrum in the range of 600 to 3300 cm(-1). This time includes localization of small bacteria aggregates, alignment on a single individual, and spontaneous Raman scattering signal collection. Fast localization of small bacteria aggregates, typically composed of less than a dozen individuals, is achieved by lensfree imaging over a large field of view of 24 mm(2). The lensfree image also allows precise alignment of a single bacteria with the probing beam without the need for a standard microscope. Raman scattered light from a 34-mW continuous laser at 532 nm was fed to a customized spectrometer (prototype Tornado Spectral Systems). Owing to the high light throughput of this spectrometer, integration times as low as 10 s were found acceptable. We have recorded a total of 1200 spectra over seven bacterial species. Using this database and an optimized preprocessing, classification rates of similar to 90% were obtained. The speed and sensitivity of our Raman spectrometer pave the way for high-throughput and nondestructive real-time bacteria identification assays. This compact and low-cost technology can benefit biomedical, clinical diagnostic, and environmental applications. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Automatic identification of novel bacteria using Raman spectroscopy and Gaussian processes
    Kemmler, Michael
    Rodner, Erik
    Roesch, Petra
    Popp, Juergen
    Denzler, Joachim
    ANALYTICA CHIMICA ACTA, 2013, 794 : 29 - 37
  • [22] Raman spectroscopy of oral bacteria
    Berger, AJ
    Zhu, QY
    Quivey, R
    DIAGNOSTIC OPTICAL SPECTROSCOPY IN BIOMEDICINE II, 2003, 5141 : 214 - 218
  • [23] Identification of single eukaryotic cells with micro-Raman spectroscopy
    Roesch, P.
    Harz, M.
    Peschke, K. -D.
    Ronneberger, O.
    Burkhardt, H.
    Popp, J.
    BIOPOLYMERS, 2006, 82 (04) : 312 - 316
  • [24] Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy:: Application to clean-room-relevant biological contaminations
    Rösch, P
    Harz, M
    Schmitt, M
    Peschke, KD
    Ronneberger, O
    Burkhardt, H
    Motzkus, HW
    Lankers, M
    Hofer, S
    Thiele, H
    Popp, J
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2005, 71 (03) : 1626 - 1637
  • [25] Identification Of Pathogenic Bacteria Extracted From Milk On Single-Cell-Level By Means Of Micro-Raman Spectroscopy
    Meisel, Susann
    Stoeckel, Stephan
    Elschner, Mandy
    Melzer, Falk
    Roesch, Petra
    Popp, Juergen
    XXII INTERNATIONAL CONFERENCE ON RAMAN SPECTROSCOPY, 2010, 1267 : 382 - +
  • [26] Surface-enhanced Raman scattering spectroscopy characterization and identification of foodborne bacteria
    Liu, Yongliang
    Chen, Yud-Ren
    Nou, Xiangwu
    Chao, Kuanglin
    OPTICS FOR NATURAL RESOURCES, AGRICULTURE, AND FOODS II, 2007, 6761
  • [27] Raman spectroscopy for identification of medically important bacteria - translation from bench to bedside
    Sneha, C.
    Soumya, S.
    Deepak, S.
    Shwetha, V.
    Siva, U.
    Silpa, M.
    Ambica, R.
    INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2021, 58 : 35 - 35
  • [28] Rapid and accurate identification of pathogenic bacteria at the single-cell level using laser tweezers Raman spectroscopy and deep learning
    Zhou, Bo
    Sun, Liying
    Fang, Teng
    Li, Haixia
    Zhang, Ru
    Ye, Anpei
    JOURNAL OF BIOPHOTONICS, 2022, 15 (07)
  • [29] Rapid and accurate identification of marine bacteria spores at a single-cell resolution by laser tweezers Raman spectroscopy and deep learning
    Hu, Jianchang
    He, Lin
    Wang, Guiwen
    Liu, Liwei
    Wang, Yiping
    Song, Jun
    Qu, Junle
    Peng, Xiao
    Yuan, Yufeng
    JOURNAL OF BIOPHOTONICS, 2024, 17 (05)
  • [30] Discrimination of bacteria and bacteriophages by Raman spectroscopy and surface-enhanced Raman spectroscopy
    Goeller, Lindsay J.
    Riley, Mark R.
    APPLIED SPECTROSCOPY, 2007, 61 (07) : 679 - 685