Metal organic frameworks for bacterial detection in environmental samples

Pathogenic bacteria pose significant threats to public health. Early and accurate detection of bacteria is crucial for infection control and prevention of outbreaks. This paper reviews recent advances in metal organic framework (MOF)-based methods for bacterial detection. MOFs are promising material...

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Main Authors: Hadeer M. Bedair, Alaa Bedair, Mahmoud Hamed, Marcello Locatelli, Fotouh R. Mansour
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Talanta Open
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666831924000882
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author Hadeer M. Bedair
Alaa Bedair
Mahmoud Hamed
Marcello Locatelli
Fotouh R. Mansour
author_facet Hadeer M. Bedair
Alaa Bedair
Mahmoud Hamed
Marcello Locatelli
Fotouh R. Mansour
author_sort Hadeer M. Bedair
collection DOAJ
description Pathogenic bacteria pose significant threats to public health. Early and accurate detection of bacteria is crucial for infection control and prevention of outbreaks. This paper reviews recent advances in metal organic framework (MOF)-based methods for bacterial detection. MOFs are promising materials for biosensing due to their large surface areas, customizable properties, and ability to integrate various sensing capabilities. Several colorimetric and electrochemical detection techniques that utilize MOFs are discussed. Colorimetric assays combining MOFs with gold nanoparticles, peroxidase-mimicking activity, and aptamer recognition have achieved sensitive and specific detection of bacteria such as E. coli and S. aureus. Electrochemical biosensors integrating MOFs, antibodies, aptamers and quantum dots have also demonstrated low detection limits for various bacteria. Notably, techniques using MOF peroxidase-like activity coupled with magnetic separation or competitive binding assays show potential for point-of-care pathogen detection. Furthermore, optimization of MOF properties and integration within microfluidic platforms may lead to portable, low-cost and rapid methods suitable for on-site bacterial analysis in diverse settings. Continued exploration of MOF-based sensing strategies holds promise for improved bacteria monitoring and control of infectious diseases.
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spelling doaj-art-835e35906a184308a8539aa875c4df642024-12-13T11:06:11ZengElsevierTalanta Open2666-83192024-12-0110100374Metal organic frameworks for bacterial detection in environmental samplesHadeer M. Bedair0Alaa Bedair1Mahmoud Hamed2Marcello Locatelli3Fotouh R. Mansour4Department of Microbiology and Immunology, Faculty of Pharmacy, Misr University for Science and Technology, EgyptDepartment of Analytical Chemistry, Faculty of Pharmacy, University of Sadat City, Sadat City 32958, EgyptPharmaceutical Chemistry Department, Faculty of Pharmacy, Misr International University, Km 28 Ismailia Road, Cairo 44971, Egypt; MIU Chemistry Society (MIU-CS), Faculty of Pharmacy, Misr International University, Km 28 Ismailia Road, Cairo 44971, EgyptDepartment of Pharmacy, University “G. d'Annunzio” of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, ItalyPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Tanta University, Tanta, 31111, Egypt; Department of Analytical Chemistry, Faculty of Pharmacy, King Salman International University (KSIU), South Sinai, Egypt; Corresponding author at: Elgeish Street, The Medical Campus of Tanta University, Tanta 31111, Egypt.Pathogenic bacteria pose significant threats to public health. Early and accurate detection of bacteria is crucial for infection control and prevention of outbreaks. This paper reviews recent advances in metal organic framework (MOF)-based methods for bacterial detection. MOFs are promising materials for biosensing due to their large surface areas, customizable properties, and ability to integrate various sensing capabilities. Several colorimetric and electrochemical detection techniques that utilize MOFs are discussed. Colorimetric assays combining MOFs with gold nanoparticles, peroxidase-mimicking activity, and aptamer recognition have achieved sensitive and specific detection of bacteria such as E. coli and S. aureus. Electrochemical biosensors integrating MOFs, antibodies, aptamers and quantum dots have also demonstrated low detection limits for various bacteria. Notably, techniques using MOF peroxidase-like activity coupled with magnetic separation or competitive binding assays show potential for point-of-care pathogen detection. Furthermore, optimization of MOF properties and integration within microfluidic platforms may lead to portable, low-cost and rapid methods suitable for on-site bacterial analysis in diverse settings. Continued exploration of MOF-based sensing strategies holds promise for improved bacteria monitoring and control of infectious diseases.http://www.sciencedirect.com/science/article/pii/S2666831924000882Metal-organic frameworks (MOFs)Bacterial detectionColorimetric assaysElectrochemical biosensorsPathogen monitoring
spellingShingle Hadeer M. Bedair
Alaa Bedair
Mahmoud Hamed
Marcello Locatelli
Fotouh R. Mansour
Metal organic frameworks for bacterial detection in environmental samples
Talanta Open
Metal-organic frameworks (MOFs)
Bacterial detection
Colorimetric assays
Electrochemical biosensors
Pathogen monitoring
title Metal organic frameworks for bacterial detection in environmental samples
title_full Metal organic frameworks for bacterial detection in environmental samples
title_fullStr Metal organic frameworks for bacterial detection in environmental samples
title_full_unstemmed Metal organic frameworks for bacterial detection in environmental samples
title_short Metal organic frameworks for bacterial detection in environmental samples
title_sort metal organic frameworks for bacterial detection in environmental samples
topic Metal-organic frameworks (MOFs)
Bacterial detection
Colorimetric assays
Electrochemical biosensors
Pathogen monitoring
url http://www.sciencedirect.com/science/article/pii/S2666831924000882
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AT mahmoudhamed metalorganicframeworksforbacterialdetectioninenvironmentalsamples
AT marcellolocatelli metalorganicframeworksforbacterialdetectioninenvironmentalsamples
AT fotouhrmansour metalorganicframeworksforbacterialdetectioninenvironmentalsamples