Literature DB >> 24287933

Monitoring bacterial growth using tunable resistive pulse sensing with a pore-based technique.

Allen C S Yu1, Jacky F C Loo, Samuel Yu, S K Kong, Ting-Fung Chan.   

Abstract

A novel bacterial growth monitoring method using a tunable resistive pulse sensor (TRPS) system is introduced in this study for accurate and sensitive measurement of cell size and cell concentration simultaneously. Two model bacterial strains, Bacillus subtilis str.168 (BSU168) and Escherichia coli str.DH5α (DH5α), were chosen for benchmarking the growth-monitoring performance of the system. Results showed that the technique of TRPS is sensitive and accurate relative to widely used methods, with a lower detection limit of cell concentration measurement of 5 × 10⁵ cells/ml; at the same time, the mean coefficient of variation from TRPS was within 2 %. The growth of BSU168 and DH5α in liquid cultures was studied by TRPS, optical density (OD), and colony plating. Compared to OD measurement, TRPS-measured concentration correlates better with colony plating (R = 0.85 vs. R = 0.72), which is often regarded as the gold standard of cell concentration determination. General agreement was also observed by comparing TRPS-derived cell volume measurements and those determined from microscopy. We have demonstrated that TRPS is a reliable method for bacterial growth monitoring, where the study of both cell volume and cell concentration are needed to provide further details about the physical aspects of cell dynamics in real time.

Entities:  

Mesh:

Year:  2013        PMID: 24287933     DOI: 10.1007/s00253-013-5377-9

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  12 in total

1.  Identification of a metabolic disposal route for the oncometabolite S-(2-succino)cysteine in Bacillus subtilis.

Authors:  Thomas D Niehaus; Jacob Folz; Donald R McCarty; Arthur J L Cooper; David Moraga Amador; Oliver Fiehn; Andrew D Hanson
Journal:  J Biol Chem       Date:  2018-04-06       Impact factor: 5.157

2.  Surface cytometer for fluorescent detection and growth monitoring of bacteria over a large field-of-view.

Authors:  Rafaël Sibilo; Juan Miguel Pérez; Cedric Hurth; Valerio Pruneri
Journal:  Biomed Opt Express       Date:  2019-03-28       Impact factor: 3.732

Review 3.  Review: Microbial analysis in dielectrophoretic microfluidic systems.

Authors:  Renny E Fernandez; Ali Rohani; Vahid Farmehini; Nathan S Swami
Journal:  Anal Chim Acta       Date:  2017-03-06       Impact factor: 6.558

4.  Discovery of a widespread prokaryotic 5-oxoprolinase that was hiding in plain sight.

Authors:  Thomas D Niehaus; Mona Elbadawi-Sidhu; Valérie de Crécy-Lagard; Oliver Fiehn; Andrew D Hanson
Journal:  J Biol Chem       Date:  2017-08-22       Impact factor: 5.157

5.  Bioengineered 3D Tissue Model of Intestine Epithelium with Oxygen Gradients to Sustain Human Gut Microbiome.

Authors:  Ying Chen; Sara E Rudolph; Brooke N Longo; Fernanda Pace; Terrence T Roh; Rebecca Condruti; Michelle Gee; Paula I Watnick; David L Kaplan
Journal:  Adv Healthc Mater       Date:  2022-06-19       Impact factor: 11.092

6.  A Diffusion Model to Quantify Membrane Repair Process in Listeria monocytogenes Exposed to High Pressure Processing Based on Fluorescence Microscopy Data.

Authors:  Bahareh Nikparvar; Alicia Subires; Marta Capellas; Manuela Hernandez-Herrero; Peter Crauwels; Christian U Riedel; Nadav Bar
Journal:  Front Microbiol       Date:  2021-05-13       Impact factor: 5.640

7.  A Changeable Lab-on-a-Chip Detector for Marine Nonindigenous Microorganisms in Ship's Ballast Water.

Authors:  Myint Myint Maw; Xinxiang Pan; Zhen Peng; Yanjuan Wang; Long Zhao; Bowen Dai; Junsheng Wang
Journal:  Micromachines (Basel)       Date:  2018-01-05       Impact factor: 2.891

8.  Nanoporous solid-state membranes modified with multi-wall carbon nanotubes with anti-biofouling property.

Authors:  Ameneh Alizadeh; Amir Razmjou; Mehrorang Ghaedi; Ramin Jannesar
Journal:  Int J Nanomedicine       Date:  2019-03-05

Review 9.  Quantification of Virus Particles Using Nanopore-Based Resistive-Pulse Sensing Techniques.

Authors:  Lu Yang; Takatoki Yamamoto
Journal:  Front Microbiol       Date:  2016-09-22       Impact factor: 5.640

10.  Machine learning-driven electronic identifications of single pathogenic bacteria.

Authors:  Shota Hattori; Rintaro Sekido; Iat Wai Leong; Makusu Tsutsui; Akihide Arima; Masayoshi Tanaka; Kazumichi Yokota; Takashi Washio; Tomoji Kawai; Mina Okochi
Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.