Literature DB >> 31832780

Conductometric sensor for viable Escherichia coli and Staphylococcus aureus based on magnetic analyte separation via aptamer.

Xuzhi Zhang1,2, Xiaochun Wang1, Qianqian Yang1,3, Xiaoyu Jiang1,3, Yang Li1, Jun Zhao1, Keming Qu4,5.   

Abstract

A method is described to determine viable populations of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). The method employs aptamer-magnetic separation combined with resistivity based detection. The bacteria were separated by means of aptamer-functionalized magnetic beads. They were then quantified by measuring their growth kinetics through time-dependent conductivity changes of culture media. The time-course of growth was logged by real-time and contactless measurements that yielded starting concentrations from the duration of lag intervals prior to the log phase of growth. In pure water samples, the linear ranges for measuring E. coli and S. aureus cells are 2.5 × 103-2.5 × 108 CFU·mL-1 and 4.1 × 103-4.1 × 108 CFU·mL-1, respectively. In spiked tap water samples, the lower limits of detection are 2.3 × 104 CFU·mL-1 and 4.0 × 103 CFU·mL-1 for E. coli and S. aureus, with recoveries of 87.0-108.7% and 92.5-105.0%, respectively. The relative standard deviation of these measurements (10.0%) is below that of plate counting method (13.9%). The presence of micro/nanoparticles such as magnetic beads or selenium nanoparticles in the culture media does not interfere, unlike in case of automatted optical density monitoring. The E. coli and S. aureus cells captured on the aptamer-functionalized magnetic beads can be directly tested for their susceptibility to antibiotics. The process of magnetic separation and determination of load burden requires neither bulky, sophisticated equipment nor expensive reagents. Graphical abstractAptamer-functionalized magnetic beads are used to selectively capture and separate E. coli and S. aureus cells in aqueous samples. They are directly transferred to a multichannel conductometric sensor for the quantification of viable bacteria via automated monitoring of their growth kinetics.

Entities:  

Keywords:  Automated antibiotic susceptibility testing; Bacterial growth; Biosensor; Capacitively-coupled contactless conductivity; Determination; Growth curve; Non-invasive measurement; Online monitoring; Selenium nanoparticles; Viable bacteria

Mesh:

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Year:  2019        PMID: 31832780     DOI: 10.1007/s00604-019-3880-0

Source DB:  PubMed          Journal:  Mikrochim Acta        ISSN: 0026-3672            Impact factor:   5.833


  28 in total

1.  Rapid and accurate detection of Escherichia coli growth by fluorescent pH-sensitive organic nanoparticles for high-throughput screening applications.

Authors:  Yang Si; Chloé Grazon; Gilles Clavier; Jutta Rieger; Jean-Frédéric Audibert; Bianca Sclavi; Rachel Méallet-Renault
Journal:  Biosens Bioelectron       Date:  2015-08-15       Impact factor: 10.618

Review 2.  Trends in aptamer selection methods and applications.

Authors:  Meral Yüce; Naimat Ullah; Hikmet Budak
Journal:  Analyst       Date:  2015-08-21       Impact factor: 4.616

3.  Aptamer-conjugated silver nanoparticles for electrochemical dual-aptamer-based sandwich detection of staphylococcus aureus.

Authors:  Abdolkarim Abbaspour; Fatemeh Norouz-Sarvestani; Abolhassan Noori; Noushin Soltani
Journal:  Biosens Bioelectron       Date:  2014-12-18       Impact factor: 10.618

4.  SERS-based sandwich immunoassay using antibody coated magnetic nanoparticles for Escherichia coli enumeration.

Authors:  Burcu Guven; Nese Basaran-Akgul; Erhan Temur; Ugur Tamer; Ismail Hakki Boyaci
Journal:  Analyst       Date:  2010-12-01       Impact factor: 4.616

5.  Comparison of the traditional three-tube most probable number method with the Petrifilm, SimPlate, BioSys optical, and Bactometer conductance methods for enumerating Escherichia coli from chicken carcasses and ground beef.

Authors:  S M Russell
Journal:  J Food Prot       Date:  2000-09       Impact factor: 2.077

6.  Growth-Based Bacterial Viability Assay for Interference-Free and High-Throughput Toxicity Screening of Nanomaterials.

Authors:  Tian A Qiu; Thu Ha Thi Nguyen; Natalie V Hudson-Smith; Peter L Clement; Dona-Carla Forester; Hilena Frew; Mimi N Hang; Catherine J Murphy; Robert J Hamers; Z Vivian Feng; Christy L Haynes
Journal:  Anal Chem       Date:  2017-01-20       Impact factor: 6.986

7.  Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances.

Authors:  Irith Wiegand; Kai Hilpert; Robert E W Hancock
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

8.  Application of a flow-type antibody sensor to the detection of Escherichia coli in various foods.

Authors:  Namsoo Kim; In Seon Park
Journal:  Biosens Bioelectron       Date:  2003-08-15       Impact factor: 10.618

9.  Isolation and characterization of DNA aptamers against Escherichia coli using a bacterial cell-systematic evolution of ligands by exponential enrichment approach.

Authors:  Yeon Seok Kim; Min Young Song; Jongsoo Jurng; Byoung Chan Kim
Journal:  Anal Biochem       Date:  2013-01-26       Impact factor: 3.365

10.  Whole cell based microcontact imprinted capacitive biosensor for the detection of Escherichia coli.

Authors:  Neslihan Idil; Martin Hedström; Adil Denizli; Bo Mattiasson
Journal:  Biosens Bioelectron       Date:  2016-08-29       Impact factor: 10.618

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  4 in total

Review 1.  Recent advances on aptamer-based biosensors for detection of pathogenic bacteria.

Authors:  Danliang Li; Luyao Liu; Qiaoling Huang; Ting Tong; You Zhou; Zhongyu Li; Qinqin Bai; Hao Liang; Lili Chen
Journal:  World J Microbiol Biotechnol       Date:  2021-02-08       Impact factor: 3.312

Review 2.  Recent Advances in Aptasensors For Rapid and Sensitive Detection of Staphylococcus Aureus.

Authors:  Wei Chen; Qingteng Lai; Yanke Zhang; Zhengchun Liu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-23

Review 3.  Recent Progress in the Identification of Aptamers Against Bacterial Origins and Their Diagnostic Applications.

Authors:  Nevina E Trunzo; Ka Lok Hong
Journal:  Int J Mol Sci       Date:  2020-07-18       Impact factor: 5.923

4.  Affordable automated phenotypic antibiotic susceptibility testing method based on a contactless conductometric sensor.

Authors:  Xuzhi Zhang; Xiaoyu Jiang; Qianqian Yang; Yong Xu; Xiaochun Wang; Jinping Wang; Xiaobo Sun; Guosi Xie; Yan Zhang; Jun Zhao; Keming Qu
Journal:  Sci Rep       Date:  2020-12-04       Impact factor: 4.379

  4 in total

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