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- PMID: 32847039
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Article: Glycoprotein- and Lectin-Based Approaches for Detection of Pathogens
Title | Glycoprotein- and Lectin-Based Approaches for Detection of Pathogens |
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Authors | |
Keywords | Glycoproteins Lectins Pathogens Biosensors Miniaturization Diagnostics Nanotechnology |
Issue Date | 2020 |
Publisher | MDPI AG. The Journal's web site is located at https://www.mdpi.com/journal/pathogens |
Citation | Pathogens, 2020, v. 9 n. 9, article no. 694 How to Cite? |
Abstract | Infectious diseases alone are estimated to result in approximately 40% of the 50 million total annual deaths globally. The importance of basic research in the control of emerging and re-emerging diseases cannot be overemphasized. However, new nanotechnology-based methodologies exploiting unique surface-located glycoproteins or their patterns can be exploited to detect pathogens at the point of use or on-site with high specificity and sensitivity. These technologies will, therefore, affect our ability in the future to more accurately assess risk. The critical challenge is making these new methodologies cost-effective, as well as simple to use, for the diagnostics industry and public healthcare providers. Miniaturization of biochemical assays in lab-on-a-chip devices has emerged as a promising tool. Miniaturization has the potential to shape modern biotechnology and how point-of-care testing of infectious diseases will be performed by developing smart microdevices that require minute amounts of sample and reagents and are cost-effective, robust, and sensitive and specific. The current review provides a short overview of some of the futuristic approaches using simple molecular interactions between glycoproteins and glycoprotein-binding molecules for the efficient and rapid detection of various pathogens at the point of use, advancing the emerging field of glyconanodiagnostics. |
Persistent Identifier | http://hdl.handle.net/10722/302075 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 0.843 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hassan, SU | - |
dc.contributor.author | Donia, A | - |
dc.contributor.author | Sial, U | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Bokhari, H | - |
dc.date.accessioned | 2021-08-21T03:31:13Z | - |
dc.date.available | 2021-08-21T03:31:13Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Pathogens, 2020, v. 9 n. 9, article no. 694 | - |
dc.identifier.issn | 2076-0817 | - |
dc.identifier.uri | http://hdl.handle.net/10722/302075 | - |
dc.description.abstract | Infectious diseases alone are estimated to result in approximately 40% of the 50 million total annual deaths globally. The importance of basic research in the control of emerging and re-emerging diseases cannot be overemphasized. However, new nanotechnology-based methodologies exploiting unique surface-located glycoproteins or their patterns can be exploited to detect pathogens at the point of use or on-site with high specificity and sensitivity. These technologies will, therefore, affect our ability in the future to more accurately assess risk. The critical challenge is making these new methodologies cost-effective, as well as simple to use, for the diagnostics industry and public healthcare providers. Miniaturization of biochemical assays in lab-on-a-chip devices has emerged as a promising tool. Miniaturization has the potential to shape modern biotechnology and how point-of-care testing of infectious diseases will be performed by developing smart microdevices that require minute amounts of sample and reagents and are cost-effective, robust, and sensitive and specific. The current review provides a short overview of some of the futuristic approaches using simple molecular interactions between glycoproteins and glycoprotein-binding molecules for the efficient and rapid detection of various pathogens at the point of use, advancing the emerging field of glyconanodiagnostics. | - |
dc.language | eng | - |
dc.publisher | MDPI AG. The Journal's web site is located at https://www.mdpi.com/journal/pathogens | - |
dc.relation.ispartof | Pathogens | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Glycoproteins | - |
dc.subject | Lectins | - |
dc.subject | Pathogens | - |
dc.subject | Biosensors | - |
dc.subject | Miniaturization | - |
dc.subject | Diagnostics | - |
dc.subject | Nanotechnology | - |
dc.title | Glycoprotein- and Lectin-Based Approaches for Detection of Pathogens | - |
dc.type | Article | - |
dc.identifier.email | Hassan, SU: suhassan@hku.hk | - |
dc.identifier.authority | Hassan, SU=rp02857 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/pathogens9090694 | - |
dc.identifier.pmid | 32847039 | - |
dc.identifier.pmcid | PMC7558909 | - |
dc.identifier.scopus | eid_2-s2.0-85090814493 | - |
dc.identifier.hkuros | 324379 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | article no. 694 | - |
dc.identifier.epage | article no. 694 | - |
dc.identifier.isi | WOS:000580016300001 | - |
dc.publisher.place | Switzerland | - |