Literature DB >> 22101709

Application of nanoparticles for the detection and sorting of pathogenic bacteria by flow-cytometry.

Eran Zahavy1, Raphael Ber, David Gur, Hagar Abramovich, Esti Freeman, Sharon Maoz, Shmuel Yitzhaki.   

Abstract

In this paper we will describe a new developed contribution of fluorescence nano-crystal (q-dots) as a fluorescence label for detecting pathogenic bacteria by flow cytometry (FCM) and the use of nano-magnetic particles to improve bacterial sorting by Flow cytometry cell sorting (FACS).FCM or FACS systems are based upon single cell detection by light scatter and Immunofluorescence labeling signals. The common FACS systems are based upon single or dual excitation as excitation source both for light scatter parameters and for several fluorescence detectors. Hence, for multi-labeling detection, there is a need for fluorophores with broad excitation wave length and sharp emission bands. Moreover, such fluorophores should be with high fluorescence efficiency, stable, and available for bio-molecules conjugation. Q-dots benefit from practical features which meet those -criteria. We will describe the use of q-dots as fluorescence labels for specific conjugates against Bacillus anthracis spores and Yersinia pestis bacteria, which enable the specific detection of the different species. A specific and sensitive multiplex analysis procedure for both pathogens was achieved, with high sensitivity down to 10(3) bacteria per ml in the sample.Sorting bacteria by FACS has a tremendous advantage for sensitive and selective analysis and sorting of sub-populations. However it has always been a difficult task due to the fact that bacteria are small particles (usually 1-3 μm). For such small particles, light scatter signal is on the threshold level, and many positive events may be lost. Here we will present the development of a procedure for sorting of the gram negative bacteria Y. pestis from environment samples. We will show that the application of nano-magnetic particles, as a tool for the immunomagnetic labeling and separation of the bacteria, enables fast sorting in high and low bacterial concentration down to 10  (5) cfu/ml. The nano-metric physical size of the immunospecific labeling particles disguises them from the FACS detectors; hence the bacterial population becomes the major population as opposed to being "rare events population" when using standard micro-magnetic beads for pre-enrichment.The procedure of separation and collection of bacteria enables sensitive detection and characterization methods of bacteria from complex samples.

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Year:  2012        PMID: 22101709     DOI: 10.1007/978-94-007-2555-3_3

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  5 in total

1.  Simplified confocal microscope for counting particles at low concentrations.

Authors:  Joseph P Skinner; Kerry M Swift; Qiaoqiao Ruan; Sergio Perfetto; Enrico Gratton; Sergey Y Tetin
Journal:  Rev Sci Instrum       Date:  2013-07       Impact factor: 1.523

2.  A comparison of conventional methods for the quantification of bacterial cells after exposure to metal oxide nanoparticles.

Authors:  Hongmiao Pan; Yongbin Zhang; Gui-Xin He; Namrata Katagori; Huizhong Chen
Journal:  BMC Microbiol       Date:  2014-08-21       Impact factor: 3.605

3.  Isolation of Francisella tularensis and Yersinia pestis from Blood Cultures by Plasma Purification and Immunomagnetic Separation Accelerates Antibiotic Susceptibility Determination.

Authors:  Ronit Aloni-Grinstein; Ofir Schuster; Shmuel Yitzhaki; Moshe Aftalion; Sharon Maoz; Ida Steinberger-Levy; Raphael Ber
Journal:  Front Microbiol       Date:  2017-02-28       Impact factor: 5.640

Review 4.  Development of nanoparticle-based optical sensors for pathogenic bacterial detection.

Authors:  Teodora Mocan; Cristian T Matea; Teodora Pop; Ofelia Mosteanu; Anca Dana Buzoianu; Cosmin Puia; Cornel Iancu; Lucian Mocan
Journal:  J Nanobiotechnology       Date:  2017-03-31       Impact factor: 10.435

5.  Rapid Antibiotic Susceptibility Determination for Yersinia pestis Using Flow Cytometry Spectral Intensity Ratio (SIR) Fluorescence Analysis.

Authors:  Eran Zahavy; Shahar Rotem; David Gur; Ronit Aloni-Grinstein; Moshe Aftalion; Raphael Ber
Journal:  J Fluoresc       Date:  2018-08-16       Impact factor: 2.217

  5 in total

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