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http://hdl.handle.net/11375/31595
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DC Field | Value | Language |
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dc.contributor.advisor | Soleymani, Leyla | - |
dc.contributor.author | Akhlaghi, Amir Ali | - |
dc.date.accessioned | 2025-05-01T10:38:01Z | - |
dc.date.available | 2025-05-01T10:38:01Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31595 | - |
dc.description.abstract | Early detection of bacteria plays a crucial role in preventing the spread of infectious diseases and strengthens infection control measures. High-affinity biorecognition molecular probes (e.g., antibodies, aptamers, DNAzymes) that selectively bind to bacterial proteins enable the creation of practical biosensors for on-site testing and point of-care diagnostics. The growing integration of colloidal micromotors in biosensing has unlocked exciting possibilities, paving the way for innovative diagnostic platforms with enhanced sensitivity and efficiency. A simple bath-based biosensing system was developed for detecting Legionella pneumophila in crude culture, utilizing DNA enzymes (i.e., DNAzymes) as biorecognition probes grafted onto micromotors. This assay eliminates the multi-step handling of reagents and uses a single step of dipping and readout for target detection. Using this assay, cultured protein target from Legionella pneumophila was detected with a limit-of-detection of 2×104 CFU mL−1 under self-fluidic mixing condition, while a limit-of-detection of 1×106 CFU mL−1 was achieved under static/non-mixing condition. This application shows the improvement in limit-of-detection due to the mixing effect induced by micromotors and serves as a user-friendly platform for on-site detection and point-of-care use. | en_US |
dc.language.iso | en | en_US |
dc.subject | Biosensors | en_US |
dc.subject | Micromotors | en_US |
dc.subject | DNAzymes | en_US |
dc.subject | Electrochemistry | en_US |
dc.subject | Legionella pneumophila | en_US |
dc.title | Development of a Motorized DNAzyme Assay for Enhancing the Performance of Electrochemical Biosensors for Bacterial Detection | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Biomedical Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Akhlaghi_AmirAli_202504_MASc.pdf | 2.67 MB | Adobe PDF | View/Open |
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