Literature DB >> 24705320

Mass and density measurements of live and dead Gram-negative and Gram-positive bacterial populations.

Christina L Lewis, Caelli C Craig, Andre G Senecal.   

Abstract

Monitoring cell growth and measuring physical features of food-borne pathogenic bacteria are important for better understanding the conditions under which these organisms survive and proliferate. To address this challenge, buoyant masses of live and dead Escherichia coli O157:H7 and Listeria innocua were measured using Archimedes, a commercially available suspended microchannel resonator (SMR). Cell growth was monitored with Archimedes by observing increased cell concentration and buoyant mass values of live growing bacteria. These growth data were compared to optical density measurements obtained with a Bioscreen system. We observed buoyant mass measurements with Archimedes at cell concentrations between 10(5) and 10(8) cells/ml, while growth was not observed with optical density measurements until the concentration was 10(7) cells/ml. Buoyant mass measurements of live and dead cells with and without exposure to hydrogen peroxide stress were also compared; live cells generally had a larger buoyant mass than dead cells. Additionally, buoyant mass measurements were used to determine cell density and total mass for both live and dead cells. Dead E. coli cells were found to have a larger density and smaller total mass than live E. coli cells. In contrast, density was the same for both live and dead L. innocua cells, while the total mass was greater for live than for dead cells. These results contribute to the ongoing challenge to further develop existing technologies used to observe cell populations at low concentrations and to measure unique physical features of cells that may be useful for developing future diagnostics.

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Year:  2014        PMID: 24705320      PMCID: PMC4054131          DOI: 10.1128/AEM.00117-14

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  23 in total

1.  A combined discrete-continuous model describing the lag phase of Listeria monocytogenes.

Authors:  R C McKellar; K Knight
Journal:  Int J Food Microbiol       Date:  2000-03-25       Impact factor: 5.277

2.  Use of a Coulter counter to detect discrete changes in cell numbers and volume during growth of Escherichia coli.

Authors:  R Smither
Journal:  J Appl Bacteriol       Date:  1975-10

3.  Distribution of turbidity detection times produced by single cell-generated bacterial populations.

Authors:  Aline Métris; Susan M George; Michael W Peck; József Baranyi
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4.  Observing growth and division of large numbers of individual bacteria by image analysis.

Authors:  A Elfwing; Y LeMarc; J Baranyi; A Ballagi
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5.  Stochasticity in colonial growth dynamics of individual bacterial cells.

Authors:  Konstantinos P Koutsoumanis; Alexandra Lianou
Journal:  Appl Environ Microbiol       Date:  2013-01-25       Impact factor: 4.792

6.  Effect of nutrient concentration on the growth of Escherichia coli.

Authors:  T E Shehata; A G Marr
Journal:  J Bacteriol       Date:  1971-07       Impact factor: 3.490

7.  A model based on absorbance data on the growth rate of Listeria monocytogenes and including the effects of pH, NaCl, Na-lactate and Na-acetate.

Authors:  E Nerbrink; E Borch; H Blom; T Nesbakken
Journal:  Int J Food Microbiol       Date:  1999-03-01       Impact factor: 5.277

8.  Attachment of Escherichia coli O157:H7 to the surfaces and internal structures of apples as detected by confocal scanning laser microscopy.

Authors:  S L Burnett; J Chen; L R Beuchat
Journal:  Appl Environ Microbiol       Date:  2000-11       Impact factor: 4.792

9.  Development of a synthetic minimal medium for Listeria monocytogenes.

Authors:  Hsiang-Ning Tsai; David A Hodgson
Journal:  Appl Environ Microbiol       Date:  2003-11       Impact factor: 4.792

10.  Intracellular water exchange for measuring the dry mass, water mass and changes in chemical composition of living cells.

Authors:  Francisco Feijó Delgado; Nathan Cermak; Vivian C Hecht; Sungmin Son; Yingzhong Li; Scott M Knudsen; Selim Olcum; John M Higgins; Jianzhu Chen; William H Grover; Scott R Manalis
Journal:  PLoS One       Date:  2013-07-02       Impact factor: 3.240

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  9 in total

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Authors:  Myeonggu Son; Gyudo Lee; Jongsang Son; Seungyeop Choi; Youngho Kim; Sei-Young Lee; Young-Ro Yoon; Dae Sung Yoon; Sang Woo Lee
Journal:  Biomicrofluidics       Date:  2015-01-07       Impact factor: 2.800

2.  Direct Cell Mass Measurements Expand the Role of Small Microorganisms in Nature.

Authors:  Alexander Khachikyan; Jana Milucka; Sten Littmann; Soeren Ahmerkamp; Travis Meador; Martin Könneke; Thomas Burg; Marcel M M Kuypers
Journal:  Appl Environ Microbiol       Date:  2019-07-01       Impact factor: 4.792

3.  Three-dimensional label-free observation of individual bacteria upon antibiotic treatment using optical diffraction tomography.

Authors:  Jeonghun Oh; Jea Sung Ryu; Moosung Lee; Jaehwang Jung; SeungYun Han; Hyun Jung Chung; Yongkeun Park
Journal:  Biomed Opt Express       Date:  2020-02-03       Impact factor: 3.732

4.  Differentiating Live Versus Dead Gram-Positive and Gram-Negative Bacteria With and Without Oxidative Stress Using Buoyant Mass Measurements.

Authors:  Christina L Lewis; Andre G Senecal; Michael S Wiederoder; Brian M Lewis
Journal:  Curr Microbiol       Date:  2022-01-29       Impact factor: 2.188

5.  Microfluidic Single-Cell Analytics.

Authors:  Christian Dusny
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

6.  Falling bacterial communities from the atmosphere.

Authors:  Cheolwoon Woo; Naomichi Yamamoto
Journal:  Environ Microbiome       Date:  2020-12-10

7.  Impact of bacteria motility in the encounter rates with bacteriophage in mucus.

Authors:  Kevin L Joiner; Arlette Baljon; Jeremy Barr; Forest Rohwer; Antoni Luque
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

8.  Biofilm viscoelasticity and nutrient source location control biofilm growth rate, migration rate, and morphology in shear flow.

Authors:  Hoa Nguyen; Abraham Ybarra; Hakan Başağaoğlu; Orrin Shindell
Journal:  Sci Rep       Date:  2021-08-09       Impact factor: 4.379

9.  Engineering Tropism of Pseudomonas putida toward Target Surfaces through Ectopic Display of Recombinant Nanobodies.

Authors:  Sofía Fraile; María Briones; Mónica Revenga-Parra; Víctor de Lorenzo; Encarnación Lorenzo; Esteban Martínez-García
Journal:  ACS Synth Biol       Date:  2021-08-02       Impact factor: 5.110

  9 in total

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