Analyte Sensing with Catalytic Micromotors
Catalytic micromotors can be used to detect molecules of interest in several ways. The straightforward approach is to use such motors as sensors of their “fuel” (i.e., of the species consumed for self-propulsion). Another way is in the detection of species which are not fuel but still modulate the c...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/144758 |
| Acceso en línea: | https://hdl.handle.net/11441/144758 https://doi.org/10.3390/bios13010045 |
| Access Level: | acceso abierto |
| Palabra clave: | Catalytic micromotor Enhanced diffusion coefficient Motion-based sensing Self-propulsion |
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Analyte Sensing with Catalytic MicromotorsPopescu, Mihail N.Gáspár, SzilveszterCatalytic micromotorEnhanced diffusion coefficientMotion-based sensingSelf-propulsionCatalytic micromotors can be used to detect molecules of interest in several ways. The straightforward approach is to use such motors as sensors of their “fuel” (i.e., of the species consumed for self-propulsion). Another way is in the detection of species which are not fuel but still modulate the catalytic processes facilitating self-propulsion. Both of these require analysis of the motion of the micromotors because the speed (or the diffusion coefficient) of the micromotors is the analytical signal. Alternatively, catalytic micromotors can be used as the means to enhance mass transport, and thus increase the probability of specific recognition events in the sample. This latter approach is based on “classic” (e.g., electrochemical) analytical signals and does not require an analysis of the motion of the micromotors. Together with a discussion of the current limitations faced by sensing concepts based on the speed (or diffusion coefficient) of catalytic micromotors, we review the findings of the studies devoted to the analytical performances of catalytic micromotor sensors. We conclude that the qualitative (rather than quantitative) analysis of small samples, in resource poor environments, is the most promising niche for the catalytic micromotors in analytical chemistry.Romanian Executive Unit for Higher Education, Research, Development and Innovation Funding PN-III-P4-PCE-2021-1231ERA-Net EuroNanoMed 135Multidisciplinary Digital Publishing Institute (MDPI)Física Atómica, Molecular y NuclearRomanian Executive Unit for Higher Education, Research, Development and Innovation FundingERA-Net EuroNanoMed2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/144758https://doi.org/10.3390/bios13010045reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésBiosensors, 13 (1), 45.PN-III-P4-PCE-2021-1231135https://dx.doi.org/10.3390/bios13010045info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1447582026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
Analyte Sensing with Catalytic Micromotors |
| title |
Analyte Sensing with Catalytic Micromotors |
| spellingShingle |
Analyte Sensing with Catalytic Micromotors Popescu, Mihail N. Catalytic micromotor Enhanced diffusion coefficient Motion-based sensing Self-propulsion |
| title_short |
Analyte Sensing with Catalytic Micromotors |
| title_full |
Analyte Sensing with Catalytic Micromotors |
| title_fullStr |
Analyte Sensing with Catalytic Micromotors |
| title_full_unstemmed |
Analyte Sensing with Catalytic Micromotors |
| title_sort |
Analyte Sensing with Catalytic Micromotors |
| dc.creator.none.fl_str_mv |
Popescu, Mihail N. Gáspár, Szilveszter |
| author |
Popescu, Mihail N. |
| author_facet |
Popescu, Mihail N. Gáspár, Szilveszter |
| author_role |
author |
| author2 |
Gáspár, Szilveszter |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Física Atómica, Molecular y Nuclear Romanian Executive Unit for Higher Education, Research, Development and Innovation Funding ERA-Net EuroNanoMed |
| dc.subject.none.fl_str_mv |
Catalytic micromotor Enhanced diffusion coefficient Motion-based sensing Self-propulsion |
| topic |
Catalytic micromotor Enhanced diffusion coefficient Motion-based sensing Self-propulsion |
| description |
Catalytic micromotors can be used to detect molecules of interest in several ways. The straightforward approach is to use such motors as sensors of their “fuel” (i.e., of the species consumed for self-propulsion). Another way is in the detection of species which are not fuel but still modulate the catalytic processes facilitating self-propulsion. Both of these require analysis of the motion of the micromotors because the speed (or the diffusion coefficient) of the micromotors is the analytical signal. Alternatively, catalytic micromotors can be used as the means to enhance mass transport, and thus increase the probability of specific recognition events in the sample. This latter approach is based on “classic” (e.g., electrochemical) analytical signals and does not require an analysis of the motion of the micromotors. Together with a discussion of the current limitations faced by sensing concepts based on the speed (or diffusion coefficient) of catalytic micromotors, we review the findings of the studies devoted to the analytical performances of catalytic micromotor sensors. We conclude that the qualitative (rather than quantitative) analysis of small samples, in resource poor environments, is the most promising niche for the catalytic micromotors in analytical chemistry. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/11441/144758 https://doi.org/10.3390/bios13010045 |
| url |
https://hdl.handle.net/11441/144758 https://doi.org/10.3390/bios13010045 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Biosensors, 13 (1), 45. PN-III-P4-PCE-2021-1231 135 https://dx.doi.org/10.3390/bios13010045 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
| publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
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reponame:idUS. Depósito de Investigación de la Universidad de Sevilla instname:Universidad de Sevilla (US) |
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Universidad de Sevilla (US) |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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15,300719 |