Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5260
Title: Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria
Authors: Yamin, Dina 
Uskoković, Vuk 
Wakil, A. M. 
Goni M.D. 
Shamsuddin, Shazana Hilda 
Mustafa, Fatin Hamimi 
Alfouzan, Wadha A 
Alissa, Mohammed 
Alshengeti, Amer 
Almaghrabi, Rana H 
Fares, Mona A Al 
Garout, Mohammed 
Al Kaabi, Nawal A 
Alshehri, Ahmad A 
Ali, Hamza M 
Rabaan, Ali A 
Aldubisi, Fatimah Abdullah 
Yean, Chan Yean 
Yusof, Nik Yusnoraini 
Keywords: PCR;antibiotic-resistant bacteria;antimicrobial resistance (AMR);biosensors
Issue Date: 2023
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Journal: Diagnostics 
Abstract: 
Antibiotic resistance is a global public health concern, posing a significant threat to the effectiveness of antibiotics in treating bacterial infections. The accurate and timely detection of antibiotic-resistant bacteria is crucial for implementing appropriate treatment strategies and preventing the spread of resistant strains. This manuscript provides an overview of the current and emerging technologies used for the detection of antibiotic-resistant bacteria. We discuss traditional culture-based methods, molecular techniques, and innovative approaches, highlighting their advantages, limitations, and potential future applications. By understanding the strengths and limitations of these technologies, researchers and healthcare professionals can make informed decisions in combating antibiotic resistance and improving patient outcomes.
Description: 
Web of Science / Scopus
URI: http://hdl.handle.net/123456789/5260
ISSN: 2075-4418
DOI: 10.3390/diagnostics13203246
Appears in Collections:Faculty of Veterinary Medicine - Journal (Scopus/WOS)

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