1
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Suaifan GARY, Shehadeh MB, Darwish R, Alterify M, Abu Jbara W, Abu Jbara F, Zourob M. Magnetic Nanobead Paper-Based Biosensors for Colorimetric Detection of Candida albicans. ACS OMEGA 2024; 9:43005-43015. [PMID: 39464470 PMCID: PMC11500164 DOI: 10.1021/acsomega.4c05941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 09/09/2024] [Accepted: 09/13/2024] [Indexed: 10/29/2024]
Abstract
Candida albicans (C. albicans) infections pose significant challenges in clinical settings due to their high morbidity and mortality rates in addition to their role in tumor progression. Current diagnostic methods, while effective, often suffer from limitations that hinder a timely intervention. Therefore, there is an urgent need for a simple, sensitive, specific, and low-cost colorimetric biosensor for the rapid detection of C. albicans. This new biosensing platform comprises a gold platform carrying a specific C. albicans peptide substrate conjugated with magnetic nanobeads. Hence, the sensing platform was black, and the operation was based on the proteolytic activity of C. albicans, offering a visual color change to yellow upon cleavage of the conjugated peptide substrates on the magnetic nanobeads. Specificity testing demonstrated the biosensor's ability to distinguish C. albicans from other Candida species and microorganisms, while stability testing confirmed its long-term performance. Clinical testing revealed the biosensor's high sensitivity in detecting C. albicans in both standard cultures and clinically isolated samples with a lower limit of detestation of 3.5 × 103 CFU/mL. Although further validation against conventional and molecular methods is warranted, our colorimetric biosensor holds promise as a rapid (5 min) and cheap (Less than 2 $) point-of-care solution for the early detection of C. albicans infections, facilitating a timely intervention and improving patient outcomes in clinical practice.
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Affiliation(s)
- Ghadeer A. R. Y. Suaifan
- Department
of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Mayadah B. Shehadeh
- Department
of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Rula Darwish
- Department
of Pharmaceutics and Pharmaceutical Biotechnology, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Manar Alterify
- Department
of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Ward Abu Jbara
- School
of Medicine, The University of Jordan, Amman 11942, Jordan
| | - Fahid Abu Jbara
- School
of Dentistry, The University of Jordan, Amman 11942, Jordan
| | - Mohammed Zourob
- Department
of Pharmaceutical Sciences, School of Pharmacy, The University of Jordan, Amman 11942, Jordan
- Department
of Chemistry, Alfaisal University, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia
- King Faisal
Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh 12713, Saudi Arabia
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2
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Mazur F, Han Z, Tjandra AD, Chandrawati R. Digitalization of Colorimetric Sensor Technologies for Food Safety. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2404274. [PMID: 38932639 DOI: 10.1002/adma.202404274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 06/06/2024] [Indexed: 06/28/2024]
Abstract
Colorimetric sensors play a crucial role in promoting on-site testing, enabling the detection and/or quantification of various analytes based on changes in color. These sensors offer several advantages, such as simplicity, cost-effectiveness, and visual readouts, making them suitable for a wide range of applications, including food safety and monitoring. A critical component in portable colorimetric sensors involves their integration with color models for effective analysis and interpretation of output signals. The most commonly used models include CIELAB (Commission Internationale de l'Eclairage), RGB (Red, Green, Blue), and HSV (Hue, Saturation, Value). This review outlines the use of color models via digitalization in sensing applications within the food safety and monitoring field. Additionally, challenges, future directions, and considerations are discussed, highlighting a significant gap in integrating a comparative analysis toward determining the color model that results in the highest sensor performance. The aim of this review is to underline the potential of this integration in mitigating the global impact of food spoilage and contamination on health and the economy, proposing a multidisciplinary approach to harness the full capabilities of colorimetric sensors in ensuring food safety.
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Affiliation(s)
- Federico Mazur
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Zifei Han
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Angie Davina Tjandra
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Rona Chandrawati
- School of Chemical Engineering and Australian Centre for Nanomedicine (ACN), The University of New South Wales, Sydney, NSW, 2052, Australia
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3
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Malik S, Singh J, Saini K, Chaudhary V, Umar A, Ibrahim AA, Akbar S, Baskoutas S. Paper-based sensors: affordable, versatile, and emerging analyte detection platforms. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:2777-2809. [PMID: 38639474 DOI: 10.1039/d3ay02258g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Paper-based sensors, often referred to as paper-based analytical devices (PADs), stand as a transformative technology in the field of analytical chemistry. They offer an affordable, versatile, and accessible solution for diverse analyte detection. These sensors harness the unique properties of paper substrates to provide a cost-effective and adaptable platform for rapid analyte detection, spanning chemical species, biomolecules, and pathogens. This review highlights the key attributes that make paper-based sensors an attractive choice for analyte detection. PADs demonstrate their versatility by accommodating a wide range of analytes, from ions and gases to proteins, nucleic acids, and more, with customizable designs for specific applications. Their user-friendly operation and minimal infrastructure requirements suit point-of-care diagnostics, environmental monitoring, food safety, and more. This review also explores various fabrication methods such as inkjet printing, wax printing, screen printing, dip coating, and photolithography. Incorporating nanomaterials and biorecognition elements promises even more sophisticated and sensitive applications.
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Affiliation(s)
- Sumit Malik
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India.
| | - Joginder Singh
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India.
| | - Kajal Saini
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India.
| | - Vivek Chaudhary
- Department of Chemistry, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133203, Haryana, India.
| | - Ahmad Umar
- Department of Chemistry, Faculty of Science and Arts, Promising Centre for Sensors and Electronic Devices (PCSED), Najran University, Najran-11001, Kingdom of Saudi Arabia.
- Department of Materials Science and Engineering, The Ohio State University, Columbus 43210, OH, USA
- STEM Pioneers Training Lab, Najran University, Najran 11001, Kingdom of Saudi Arabia
| | - Ahmed A Ibrahim
- Department of Chemistry, Faculty of Science and Arts, Promising Centre for Sensors and Electronic Devices (PCSED), Najran University, Najran-11001, Kingdom of Saudi Arabia.
- STEM Pioneers Training Lab, Najran University, Najran 11001, Kingdom of Saudi Arabia
| | - Sheikh Akbar
- Department of Materials Science and Engineering, The Ohio State University, Columbus 43210, OH, USA
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4
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Aryal P, Hefner C, Martinez B, Henry CS. Microfluidics in environmental analysis: advancements, challenges, and future prospects for rapid and efficient monitoring. LAB ON A CHIP 2024; 24:1175-1206. [PMID: 38165815 DOI: 10.1039/d3lc00871a] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Microfluidic devices have emerged as advantageous tools for detecting environmental contaminants due to their portability, ease of use, cost-effectiveness, and rapid response capabilities. These devices have wide-ranging applications in environmental monitoring of air, water, and soil matrices, and have also been applied to agricultural monitoring. Although several previous reviews have explored microfluidic devices' utility, this paper presents an up-to-date account of the latest advancements in this field for environmental monitoring, looking back at the past five years. In this review, we discuss devices for prominent contaminants such as heavy metals, pesticides, nutrients, microorganisms, per- and polyfluoroalkyl substances (PFAS), etc. We cover numerous detection methods (electrochemical, colorimetric, fluorescent, etc.) and critically assess the current state of microfluidic devices for environmental monitoring, highlighting both their successes and limitations. Moreover, we propose potential strategies to mitigate these limitations and offer valuable insights into future research and development directions.
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Affiliation(s)
- Prakash Aryal
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, USA.
| | - Claire Hefner
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, USA.
| | - Brandaise Martinez
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, USA.
| | - Charles S Henry
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, USA.
- Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
- School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado 80523, USA
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Bangkok 10330, Thailand
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5
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Hajam MI, Khan MM. Microfluidics: a concise review of the history, principles, design, applications, and future outlook. Biomater Sci 2024; 12:218-251. [PMID: 38108438 DOI: 10.1039/d3bm01463k] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Microfluidic technologies have garnered significant attention due to their ability to rapidly process samples and precisely manipulate fluids in assays, making them an attractive alternative to conventional experimental methods. With the potential for revolutionary capabilities in the future, this concise review provides readers with insights into the fascinating world of microfluidics. It begins by introducing the subject's historical background, allowing readers to familiarize themselves with the basics. The review then delves into the fundamental principles, discussing the underlying phenomena at play. Additionally, it highlights the different aspects of microfluidic device design, classification, and fabrication. Furthermore, the paper explores various applications, the global market, recent advancements, and challenges in the field. Finally, the review presents a positive outlook on trends and draws lessons to support the future flourishing of microfluidic technologies.
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Affiliation(s)
- Mohammad Irfan Hajam
- Department of Mechanical Engineering, National Institute of Technology Srinagar, India.
| | - Mohammad Mohsin Khan
- Department of Mechanical Engineering, National Institute of Technology Srinagar, India.
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6
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Alhadrami HA, Suaifan GARY, Zourob MM. A Portable Nanoprobe for Rapid and Sensitive Detection of SARS-CoV-2 S1 Protein. BIOSENSORS 2022; 12:bios12040232. [PMID: 35448292 PMCID: PMC9024885 DOI: 10.3390/bios12040232] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 03/18/2022] [Accepted: 03/28/2022] [Indexed: 05/31/2023]
Abstract
Simple, timely, and precise detection of SARS-CoV-2 in clinical samples and contaminated surfaces aids in lowering attendant morbidity/mortality related to this infectious virus. Currently applied diagnostic techniques depend on a timely laboratory report following PCR testing. However, the application of these tests is associated with inherent shortcomings due to the need for trained personnel, long-time centralized laboratories, and expensive instruments. Therefore, there is an interest in developing biosensing diagnostic frontiers that can help in eliminating these shortcomings with a relatively economical, easy-to-use, well-timed, precise and sensitive technology. This study reports the development of fabricated Q-tips designed to qualitatively and semi-quantitatively detect SARS-CoV-2 in clinical samples and contaminated non-absorbable surfaces. This colorimetric sensor is engineered to sandwich SARS-CoV-2 spike protein between the lactoferrin general capturing agent and the complementary ACE2-labeled receptor. The ACE2 receptor is decorated with an orange-colored polymeric nanoparticle to generate an optical visual signal upon pairing with the SARS-CoV-2 spike protein. This colorimetric change of the Q-tip testing zone from white to orange confirms a positive result. The visual detection limit of the COVID-19 engineered colorimetric Q-tip sensor was 100 pfu/mL within a relatively short turnaround time of 5 min. The linear working range of quantitation was 103-108 pfu/mL. The engineered sensor selectively targeted SARS-CoV-2 spike protein and did not bind to another coronavirus such as MERS-CoV, Flu A, or Flu B present on the contaminated surface. This novel detection tool is relatively cheap to produce and suitable for onsite detection of COVID-19 infection.
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Affiliation(s)
- Hani A. Alhadrami
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, P.O. Box 80402, Jeddah 21589, Saudi Arabia;
- Molecular Diagnostic Laboratory, King Abdulaziz University Hospital, King Abdulaziz University, P.O. Box 80402, Jeddah 21589, Saudi Arabia
| | - Ghadeer A. R. Y. Suaifan
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan;
| | - Mohammed M. Zourob
- Department of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd., Riyadh 11533, Saudi Arabia
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7
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Simonetti SO, Kaufman TS, Larghi EL. Conjugation of Carbohydrates with Quinolines: A Powerful Synthetic Tool. European J Org Chem 2022. [DOI: 10.1002/ejoc.202200107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Sebastián O. Simonetti
- Instituto de Química Rosario: Instituto de Quimica Rosario Química Orgánica Suipacha 531 S2002LRK Rosario ARGENTINA
| | - Teodoro S. Kaufman
- Instituto de Química Rosario: Instituto de Quimica Rosario Química Orgánica Suipacha 531 S2002LRK Rosario ARGENTINA
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8
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Alhogail S, Chinnappan R, Alrifai M, Suaifan GARY, Bikker FJ, Kaman WE, Weber K, Cialla-May D, Popp J, Alfageeh MB, Al-Kattan K, Zourob MM. Simple and rapid peptide nanoprobe biosensor for the detection of Legionellaceae. Analyst 2021; 146:3568-3577. [PMID: 33913455 DOI: 10.1039/d1an00528f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This study demonstrates the development of a sensitive, specific, and quantitative peptide-based nanoprobe prototype assay for the detection of Legionellaceae in a simple way and in a short time. In this work, proteases present in the culture supernatants of Legionella spp. were used as a biomarker. Fluorogenic peptide substrates, specific to Legionella strains culture supernatant proteases, were identified. Peptidases produced a significant increase in the fluorescence intensity following the cleavage of the dipeptide fluorogenic substrates. The specific substrates were identified and coupled with carboxyl-terminated nano-magnetic particles (NMPs). On the other hand, the C-terminal was conjugated with the cysteine residue to covalently integrate with a gold sensing platform via the Au-S linkage. Four different sensors were fabricated from the four specific substrates, which were treated with the protesase of six different species of Legionella. In the presence of specific protease, the peptide sequence is digested and the magnetic nanobeads moved out of the gold surface, resulting in the apparence of gold color. One of the nanoprobes sensitivity detects as low as 60 CFU mL-1 of Legionella anisa, Legionella micdadei, and Fluoribacter dumoffii. The cross-reactivity of the sensors was tested using other closely associated bacterial species and no significant cross-reactivity of the sensors was found. It is envisaged that this assay could be useful for screening purposes or might be supportive for the fast and easy detection of Legionella protease activity for water monitoring purposes.
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Affiliation(s)
- Sahar Alhogail
- Department of Clinical Laboratory Science, King Saud University, Ad Diriyah district 11433, Kingdom of Saudi Arabia and Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia.
| | - Raja Chinnappan
- Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia.
| | - Majeda Alrifai
- Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia.
| | - Ghadeer A R Y Suaifan
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman 11942, Jordan
| | - Floris J Bikker
- Department of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
| | - Wendy E Kaman
- Department of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands and Department of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Wytemaweg 80, 3015 CE Rotterdam, The Netherlands
| | - Karina Weber
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany and InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany and Leibniz Institute of Photonic Technology, Member of the Leibniz research alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Dana Cialla-May
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany and InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany and Leibniz Institute of Photonic Technology, Member of the Leibniz research alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Jürgen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany and InfectoGnostics Research Campus Jena, Center for Applied Research, Philosophenweg 7, 07743 Jena, Germany and Leibniz Institute of Photonic Technology, Member of the Leibniz research alliance "Leibniz Health Technologies", Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Mohamed B Alfageeh
- King Abdulaziz City for Science and Technology, King Abdullah Rd, Al Raed, Riyadh 12354, Saudi Arabia
| | - K Al-Kattan
- Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia.
| | - Mohammed M Zourob
- Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11533, Saudi Arabia. and King Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh 12713, Saudi Arabia
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9
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Low-cost colorimetric diagnostic screening assay for methicillin resistant Staphylococcus aureus. Talanta 2021; 225:121946. [PMID: 33592701 DOI: 10.1016/j.talanta.2020.121946] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/27/2020] [Accepted: 11/28/2020] [Indexed: 12/11/2022]
Abstract
The timely diagnosis of MRSA in clinical samples helps to reduce the attendant morbidity/mortality associated with infection due to the organism. The early institution of appropriate therapy or deployment of infection control protocols are dependent on a timely report from the microbiology laboratory. Various assays currently used in the identification of MRSA are associated with inherent shortcomings, thus there is a need to explore newer diagnostic frontiers that can eliminate some of these short comings at a relatively cheap, timely, specific and sensitive manner. We present in this study a MRSA specific optical immunosensor to detect the presence of the pathogen on contaminated surface using control and patient strains. Results revealed a detection limits of 103 CFU mL-1 upon visual observation, and 29 CFU mL-1 as determined by the linear regression equation, following the use of ImageJ to quantify activated cotton swab color intensity. The specificity of the sensor was examined by blind testing a panel of non-MRSA bacteria (E. coli, S. aureus and S. epidermis). Negative visual read-out was observed for all tested non-specific bacteria except for MRSA. Assay takes an average of 5 min and presents a powerful point-of-care diagnostic platform for the detection of MRSA.
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10
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Raji MA, Suaifan G, Shibl A, Weber K, Cialla-May D, Popp J, Al-Kattan K, Zourob M. Aptasensor for the detection of Methicillin resistant Staphylococcus aureus on contaminated surfaces. Biosens Bioelectron 2021; 176:112910. [PMID: 33395571 DOI: 10.1016/j.bios.2020.112910] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 11/15/2022]
Abstract
There is mounting evidence that contaminated hospital environment plays a crucial role in the transmission of nosocomial pathogens such as MRSA. The institution of infection control protocols is predicated on the early laboratory detection of the pathogen from relevant samples. Processing of environmental samples for the presence of bacterial contaminants in the clinical environment is poorly standardized when compared with analysis of clinical samples. The various laboratory methods available for processing environmental samples are difficult to standardized and most require a long turnaround time before results are available. In this study, we present a report of the performance of a novel pathogen aptasensor swab designed to qualitatively and quantitatively detect MRSA, on contaminated non-absorbable surfaces. The visual detection limit of the MRSA aptasensor swab was less than 100 CFU/ml and theoretically using a standard curve, was 2 CFU/ml. A relatively short turnaround time of 5 min was established for the assay while the linear range of quantitation was 102-105 CFU/ml. Engineered aptasensor targets MRSA selectively and binds to none of the other tested bacterial pathogen, on a multi-contaminated surface. This novel detection tool was easy to use and relatively cheap to produce.
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Affiliation(s)
- Muhabat Adeola Raji
- Department of Microbiology and Immunology, College of Medicine, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh, 11533, Saudi Arabia
| | - Ghadeer Suaifan
- Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman-Jordan, P.O. Box 11942, Amman, Jordan
| | - Atef Shibl
- Department of Microbiology and Immunology, College of Medicine, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh, 11533, Saudi Arabia
| | - Karina Weber
- InfectoGnostics Research Campus Jena, Center for Applied Research, Friedrich-Schiller-University, Philosophenweg7, Jena, 07743, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany; Leibniz Institute of Photonic Technology, Member of the Leibniz Research Alliance, Leibniz Health Technologies, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Dana Cialla-May
- InfectoGnostics Research Campus Jena, Center for Applied Research, Friedrich-Schiller-University, Philosophenweg7, Jena, 07743, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany; Leibniz Institute of Photonic Technology, Member of the Leibniz Research Alliance, Leibniz Health Technologies, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Jürgen Popp
- InfectoGnostics Research Campus Jena, Center for Applied Research, Friedrich-Schiller-University, Philosophenweg7, Jena, 07743, Germany; Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743, Jena, Germany; Leibniz Institute of Photonic Technology, Member of the Leibniz Research Alliance, Leibniz Health Technologies, Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Khaled Al-Kattan
- Department of Microbiology and Immunology, College of Medicine, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh, 11533, Saudi Arabia
| | - Mohammed Zourob
- Department of Chemistry, College of Science, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh, 11533, Saudi Arabia; King Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh, 12713, Saudi Arabia.
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11
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Mohammed AA, Suaifan GA, Shehadeh MB, Okechukwu PN. Design, synthesis and antimicrobial evaluation of novel glycosylated-fluoroquinolones derivatives. Eur J Med Chem 2020; 202:112513. [DOI: 10.1016/j.ejmech.2020.112513] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 05/11/2020] [Accepted: 05/19/2020] [Indexed: 01/26/2023]
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12
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Alhogail S, Suaifan GA, Bikker FJ, Kaman WE, Weber K, Cialla-May D, Popp J, Zourob MM. Rapid Colorimetric Detection of Pseudomonas aeruginosa in Clinical Isolates Using a Magnetic Nanoparticle Biosensor. ACS OMEGA 2019; 4:21684-21688. [PMID: 31891046 PMCID: PMC6933554 DOI: 10.1021/acsomega.9b02080] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 11/08/2019] [Indexed: 05/21/2023]
Abstract
A rapid, sensitive, and specific colorimetric biosensor based on the use of magnetic nanoparticles (MNPs) was designed for the detection of Pseudomonas aeruginosa in clinical samples. The biosensing platform was based on the measurement of P. aeruginosa proteolytic activity using a specific protease substrate. At the N-terminus, this substrate was covalently bound to MNPs and was linked to a gold sensor surface via cystine at the C-terminus of the substrates. The golden sensor appears black to naked eyes because of the coverage of the MNPs. However, upon proteolysis, the cleaved peptide-MNP moieties will be attracted by an external magnet, revealing the golden color of the sensor surface, which can be observed by the naked eye. In vitro, the biosensor was able to detect specifically and quantitatively the presence of P. aeruginosa with a detection limit of 102 cfu/mL in less than 1 min. The colorimetric biosensor was used to test its ability to detect in situ P. aeruginosa in clinical isolates from patients. This biochip is anticipated to be useful as a rapid point-of-care device for the diagnosis of P. aeruginosa-related infections.
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Affiliation(s)
- Sahar Alhogail
- Department
of Clinical Laboratory Science, King Saud
University, Ad Diriyah District, 11433 Riyadh, Kingdom of Saudi
Arabia
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Road, 11533 Riyadh, Saudi Arabia
| | - Ghadeer A.R.Y. Suaifan
- Department
of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, 11942 Amman, Jordan
| | - Floris J. Bikker
- Department
of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
| | - Wendy E. Kaman
- Department
of Oral Biochemistry, Academic Centre for Dentistry Amsterdam, University of Amsterdam and VU University Amsterdam, Gustav Mahlerlaan 3004, 1081 LA Amsterdam, The Netherlands
- Department
of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Wytemaweg 80, 3015 CE Rotterdam, The Netherlands
| | - Karina Weber
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Dana Cialla-May
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Jürgen Popp
- Institute
of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics
Research Campus Jena, Center for Applied
Research, Philosophenweg
7, 07743 Jena, Germany
- Leibniz
Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Mohammed M. Zourob
- Department
of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al
Takhassusi Road, 11533 Riyadh, Saudi Arabia
- King
Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh 12713, Saudi Arabia
- E-mail:
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Nelis JLD, Bura L, Zhao Y, Burkin KM, Rafferty K, Elliott CT, Campbell K. The Efficiency of Color Space Channels to Quantify Color and Color Intensity Change in Liquids, pH Strips, and Lateral Flow Assays with Smartphones. SENSORS 2019; 19:s19235104. [PMID: 31766483 PMCID: PMC6928750 DOI: 10.3390/s19235104] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 11/14/2019] [Accepted: 11/19/2019] [Indexed: 01/26/2023]
Abstract
Bottom-up, end-user based feed, and food analysis through smartphone quantification of lateral flow assays (LFA) has the potential to cause a paradigm shift in testing capabilities. However, most developed devices do not test the presence of and implications of inter-phone variation. Much discussion remains regarding optimum color space for smartphone colorimetric analyses and, an in-depth comparison of color space performance is missing. Moreover, a light-shielding box is often used to avoid variations caused by background illumination while the use of such a bulky add-on may be avoidable through image background correction. Here, quantification performance of individual channels of RGB, HSV, and LAB color space and ΔRGB was determined for color and color intensity variation using pH strips, filter paper with dropped nanoparticles, and colored solutions. LAB and HSV color space channels never outperformed the best RGB channels in any test. Background correction avoided measurement variation if no direct sunlight was used and functioned more efficiently outside a light-shielding box (prediction errors < 5%/35% for color/color intensity change). The system was validated using various phones for quantification of major allergens (i.e., gluten in buffer, bovine milk in goat milk and goat cheese), and, pH in soil extracts with commercial pH strips and LFA. Inter-phone variation was significant for LFA quantification but low using pH strips (prediction errors < 10% for all six phones compared). Thus, assays based on color change hold the strongest promise for end-user adapted smartphone diagnostics.
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Affiliation(s)
- Joost Laurus Dinant Nelis
- Institute for Global Food Security, School of Biological Sciences, Queen’s University of Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, UK; (Y.Z.); (C.T.E.)
- Correspondence: (J.L.D.N.); (K.C.)
| | - Laszlo Bura
- Department of Food and Drug, University of Parma, Parco Area delle Scienze 27/A, 43124 Parma, Italy;
| | - Yunfeng Zhao
- Institute for Global Food Security, School of Biological Sciences, Queen’s University of Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, UK; (Y.Z.); (C.T.E.)
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, 125 Stranmillis Road, Belfast BT9 5AH, UK;
| | - Konstantin M. Burkin
- Faculty of Chemistry, Lomonosov Moscow State University, 1-3 Leninskiye Gory, GSP-1, Moscow 119991, Russia;
| | - Karen Rafferty
- School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, 125 Stranmillis Road, Belfast BT9 5AH, UK;
| | - Christopher T. Elliott
- Institute for Global Food Security, School of Biological Sciences, Queen’s University of Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, UK; (Y.Z.); (C.T.E.)
| | - Katrina Campbell
- Institute for Global Food Security, School of Biological Sciences, Queen’s University of Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, UK; (Y.Z.); (C.T.E.)
- Correspondence: (J.L.D.N.); (K.C.)
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