Dielectrophoresis microbial characterization and isolation of Staphylococcus aureus based on optimum crossover frequency.


Journal

Electrophoresis
ISSN: 1522-2683
Titre abrégé: Electrophoresis
Pays: Germany
ID NLM: 8204476

Informations de publication

Date de publication:
08 2023
Historique:
revised: 19 04 2023
received: 01 08 2022
accepted: 29 04 2023
medline: 17 8 2023
pubmed: 1 6 2023
entrez: 1 6 2023
Statut: ppublish

Résumé

Characterization of antibiotic-resistant bacteria is a significant concern that persists for the rapid classification and analysis of the bacteria. A technology that utilizes the manipulation of antibiotic-resistant bacteria is key to solving the significant threat of these pathogenic bacteria by rapid characterization profile. Dielectrophoresis (DEP) can differentiate between antibiotic-resistant and susceptible bacteria based on their physical structure and polarization properties. In this work, the DEP response of two Gram-positive bacteria, namely, Methicillin-resistant Staphylococcus aureus (MRSA) and Methicillin-susceptible S. aureus (MSSA), was investigated and simulated. The DEP characterization was experimentally observed on the bacteria influenced by oxacillin and vancomycin antibiotics. MSSA control without antibiotics has crossover frequencies (

Identifiants

pubmed: 37259263
doi: 10.1002/elps.202200276
doi:

Substances chimiques

Anti-Bacterial Agents 0
Methicillin Q91FH1328A

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1220-1233

Informations de copyright

© 2023 Wiley-VCH GmbH.

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Auteurs

Arash Zulkarnain Ahmad Rozaini (AZA)

Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Center for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.

Abdullah Abdulhameed (A)

Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.

Revathy Deivasigamani (R)

Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.

Nurulhuda Nadzreen (N)

Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.

Noraziah Mohamad Zin (NM)

Center for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.

Amin Ahmad Kayani (AA)

Functional Materials and Microsystems Research Group and the Micro Nano Research Facility, RMIT University, Melbourne, Australia.
ARC Research Hub for Connected Sensors for Health, RMIT University, Melbourne, Australia.

Muhamad Ramdzan Buyong (MR)

Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.

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