Isolation and identification of bacteria by means of Raman spectroscopy

Pahlow, Susanne; Meisel, Susann; Cialla‐May, Dana; Weber, Karina; Rösch, Petra; Popp, Jürgen

doi:10.1016/j.addr.2015.04.006

Cited by 262 publications

(207 citation statements)

References 127 publications

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“…Therefore, there is a growing need for instrumental techniques and methodologies, which are fast, accurate, sensitive, low cost, and do not need labeling. Raman spectroscopy, being nondestructive and providing characteristic finger print spectra of species, has a great potential to meet these demands and the use of this spectroscopic technique has been reported for detection and identification of bacteria [10,11], cells [12], and biomolecules [13] in recent years. On the other hand, Raman scattering is very weak and this becomes a problem for detecting species having low concentrations.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

et al. 2015

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Urinary tract infection (UTI) is a widespread infection and affects millions of people around the globe. The gold standard for identification of microorganisms causing infection is urine culture. However, current methods require at least 24 h for the results. In clinical settings, identification and discrimination of bacteria with less time-consuming and cheaper methods are highly desired. In recent years, the power of surface-enhanced Raman scattering (SERS) for fast identification of bacteria and biomolecules has been demonstrated. In this study, we show discrimination of urinary tract infection causative pathogens within 1 h of incubation using principal component analysis (PCA) of SERS spectra of seven different UTI causative bacterial species. In addition, we showed differentiation of them at their different growth phases. We also analyzed origins of bacterial SERS spectra and demonstrated the highly dynamic structure of the bacteria cell wall during their growth. Graphical Abstract Collection of bacteria from urine sample, and their discrimination using their SERS spectra and multivariate analysis.

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Section: Introductionmentioning

confidence: 99%

Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

et al. 2015

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“…The investigation of microorganisms [13] as well as the examination of biofilm formations [1,[14][15][16] by using Raman microspectroscopy has currently become quite popular. Components such as DNA, RNA, proteins, lipids, and carbohydrates of the bacterial cells may vary and, therefore, cause the Raman spectra of two different species to be slightly different which can be successfully used for species discrimination [17,18].…”

Section: Introductionmentioning

confidence: 99%

Raman spectroscopic differentiation of planktonic bacteria and biofilms

et al. 2015

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Both biofilm formations as well as planktonic cells of water bacteria such as diverse species of the Legionella genus as well as Pseudomonas aeruginosa, Klebsiella pneumoniae, and Escherichia coli were examined in detail by Raman microspectroscopy. Production of various molecules involved in biofilm formation of tested species in nutrient-deficient media such as tap water was observed and was particularly evident in the biofilms formed by six Legionella species. Biofilms of selected species of the Legionella genus differ significantly from the planktonic cells of the same organisms in their lipid amount. Also, all Legionella species have formed biofilms that differ significantly from the biofilms of the other tested genera in the amount of lipids they produced. We believe that the significant increase in the synthesis of this molecular species may be associated with the ability of Legionella species to form biofilms. In addition, a combination of Raman microspectroscopy with chemometric approaches can distinguish between both planktonic form and biofilms of diverse bacteria and could be used to identify samples which were unknown to the identification model. Our results provide valuable data for the development of fast and reliable analytic methods based on Raman microspectroscopy, which can be applied to the analysis of tap water-adapted microorganisms without any cultivation step.

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“…In comparison with these label-based SERS methods, label-free methods do not require a secondary label dye and can directly obtain the intrinsic fingerprint of bacteria, which relies on the mutual interaction of bacteria cell with the SERS substrate [77]. With this regard, a lot of label-free methods have been developed for the detection of pathogens.…”

Section: Optical Strategiesmentioning

confidence: 99%

Current and Emerging Technologies for Rapid Detection of Pathogens

Zeng¹,

Wang²,

Hu³

2018

Biosensing Technologies for the Detection of Pathogens - A Prospective Way for Rapid Analysis

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Foodborne diseases, caused by pathogenic bacteria, have become an important social issue in the field of food safety. It presents a widespread and growing threat to human health in both developed and developing countries. As such, techniques for the detection of foodborne pathogens and waterborne pathogens are urgently needed to prevent the occurrence of human foodborne infections. Although traditional culture-based bacterial isolation and identification are the "gold standard" methods with high preciseness, their drawbacks in time-consuming are inadequate for rapid detection of pathogen to reduce foodborne disease occurrence. Fortunately, with the development of biotechnologies and nanotechnologies, various kinds of new technologies for rapid detection of pathogens have been developed so far, such as nucleic acid-based methods, antibody-based methods, and aptamer-based assays. In this chapter, we summarized the principles and the application of some recent rapid detection technologies for pathogenic bacteria. Moreover, the advantages and disadvantages of the established and emerging rapid detection methods are addressed here.

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Isolation and identification of bacteria by means of Raman spectroscopy

Cited by 262 publications

References 127 publications

Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

Raman spectroscopic differentiation of planktonic bacteria and biofilms

Current and Emerging Technologies for Rapid Detection of Pathogens

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