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Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor
Pathogenic microorganisms and viruses can easily transfer from one host to another and cause disease in humans. The determination of these pathogens in a time- and cost-effective way is an extreme challenge for researchers. Rapid and label-free detection of pathogenic microorganisms and viruses is c...
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| Published in: | Micromachines (Basel) 2023-01, Vol.14 (2), p.281 |
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| Main Authors: | , , , , , |
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| cited_by | cdi_FETCH-LOGICAL-c511t-38ae388e7ddbc290f4f94d1319b2cfa1bc3344926b8cb1b5f318d474a55da93f3 |
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| cites | cdi_FETCH-LOGICAL-c511t-38ae388e7ddbc290f4f94d1319b2cfa1bc3344926b8cb1b5f318d474a55da93f3 |
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| container_start_page | 281 |
| container_title | Micromachines (Basel) |
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| creator | Bakhshpour-Yucel, Monireh Gür, Sinem Diken Seymour, Elif Aslan, Mete Lortlar Ünlü, Nese Ünlü, M Selim |
| description | Pathogenic microorganisms and viruses can easily transfer from one host to another and cause disease in humans. The determination of these pathogens in a time- and cost-effective way is an extreme challenge for researchers. Rapid and label-free detection of pathogenic microorganisms and viruses is critical in ensuring rapid and appropriate treatment. Sensor technologies have shown considerable advancements in viral diagnostics, demonstrating their great potential for being fast and sensitive detection platforms. In this review, we present a summary of the use of an interferometric reflectance imaging sensor (IRIS) for the detection of microorganisms. We highlight low magnification modality of IRIS as an ensemble biomolecular mass measurement technique and high magnification modality for the digital detection of individual nanoparticles and viruses. We discuss the two different modalities of IRIS and their applications in the sensitive detection of microorganisms and viruses. |
| doi_str_mv | 10.3390/mi14020281 |
| format | article |
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The determination of these pathogens in a time- and cost-effective way is an extreme challenge for researchers. Rapid and label-free detection of pathogenic microorganisms and viruses is critical in ensuring rapid and appropriate treatment. Sensor technologies have shown considerable advancements in viral diagnostics, demonstrating their great potential for being fast and sensitive detection platforms. In this review, we present a summary of the use of an interferometric reflectance imaging sensor (IRIS) for the detection of microorganisms. We highlight low magnification modality of IRIS as an ensemble biomolecular mass measurement technique and high magnification modality for the digital detection of individual nanoparticles and viruses. We discuss the two different modalities of IRIS and their applications in the sensitive detection of microorganisms and viruses.</description><identifier>ISSN: 2072-666X</identifier><identifier>EISSN: 2072-666X</identifier><identifier>DOI: 10.3390/mi14020281</identifier><identifier>PMID: 36837980</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Biomass ; biomass measurement ; Biosensors ; Enzymes ; Epidemics ; Experiments ; Immunoassay ; interferometric reflectance imaging sensor ; Interferometry ; Laboratories ; Microorganisms ; nanoparticle detection ; Nanoparticles ; Pandemics ; pathogenic microorganisms ; Pathogens ; Reflectance ; Review ; Semiconductors ; sensitive detection ; Sensors ; Surface chemistry ; Viruses</subject><ispartof>Micromachines (Basel), 2023-01, Vol.14 (2), p.281</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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We discuss the two different modalities of IRIS and their applications in the sensitive detection of microorganisms and viruses.</description><subject>Biomass</subject><subject>biomass measurement</subject><subject>Biosensors</subject><subject>Enzymes</subject><subject>Epidemics</subject><subject>Experiments</subject><subject>Immunoassay</subject><subject>interferometric reflectance imaging sensor</subject><subject>Interferometry</subject><subject>Laboratories</subject><subject>Microorganisms</subject><subject>nanoparticle detection</subject><subject>Nanoparticles</subject><subject>Pandemics</subject><subject>pathogenic microorganisms</subject><subject>Pathogens</subject><subject>Reflectance</subject><subject>Review</subject><subject>Semiconductors</subject><subject>sensitive detection</subject><subject>Sensors</subject><subject>Surface chemistry</subject><subject>Viruses</subject><issn>2072-666X</issn><issn>2072-666X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdUl1rFTEQXUSx5doXf4AEfBHp1nztbvIilGrthSuCX_gWsslkm8tuUpPdC_33Tb21tiaQCZMzZzIzp6peEnzCmMTvJk84ppgK8qQ6pLijddu2v54-uB9URzlvcVldJ8vxvDpgrWCdFPiwyhd-uByv628Qsp_9Do7RRvcw1ucJAH2AGczsY0DRoc_epBjToIPPU0Y6WPTTpyVDRjuv0TrMkBykOMGcvEFfwY0lWAcDaD3pwYcB3WaJ6UX1zOkxw9GdXVU_zj9-P7uoN18-rc9ON7VpCJlrJjQwIaCztjdUYsed5JYwIntqnCa9YYxzSdtemJ70jWNEWN5x3TRWS-bYqlrveW3UW3WV_KTTtYraqz-OUorSafZmBEWFlBgsd23bcNa0PeVUONs3VlJtgBWu93uuq6WfwBoIc9LjI9LHL8FfqiHulJQtLq0uBG_uCFL8vUCe1eSzgXHUAeKSFe1EmY3AJf2qev0fdBuXFEqrCqqTDWmwIAV1skcNuhTgg4slrynbwuRNDOB88Z92vLSl5YyWgLf7gDLGnBO4-98TrG61pP5pqYBfPaz3HvpXOewGU1vFFQ</recordid><startdate>20230121</startdate><enddate>20230121</enddate><creator>Bakhshpour-Yucel, Monireh</creator><creator>Gür, Sinem Diken</creator><creator>Seymour, Elif</creator><creator>Aslan, Mete</creator><creator>Lortlar Ünlü, Nese</creator><creator>Ünlü, M Selim</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6105-4609</orcidid><orcidid>https://orcid.org/0000-0002-8594-892X</orcidid><orcidid>https://orcid.org/0000-0002-5737-720X</orcidid></search><sort><creationdate>20230121</creationdate><title>Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor</title><author>Bakhshpour-Yucel, Monireh ; 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| ispartof | Micromachines (Basel), 2023-01, Vol.14 (2), p.281 |
| issn | 2072-666X 2072-666X |
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| source | Publicly Available Content (ProQuest); PubMed Central; Coronavirus Research Database |
| subjects | Biomass biomass measurement Biosensors Enzymes Epidemics Experiments Immunoassay interferometric reflectance imaging sensor Interferometry Laboratories Microorganisms nanoparticle detection Nanoparticles Pandemics pathogenic microorganisms Pathogens Reflectance Review Semiconductors sensitive detection Sensors Surface chemistry Viruses |
| title | Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor |
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