DEVELOPMENT OF INTERFEROMETRIC OPTICAL FIBER BIOSENSOR FOR HCC1806 BREAST CANCER CELL DETECTION

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dc.contributor.authorMeirambekuly, Timur
dc.date.accessioned2024-07-04T12:40:23Z
dc.date.available2024-07-04T12:40:23Z
dc.date.issued2024-04
dc.description.abstractThis thesis explores the use of semi-distributed interferometric (SDI) optical fiber biosensors for detecting breast cancer cells, with a focus on assessing the potential and limitations of this technology. Given the critical importance of early detection in improving breast cancer outcomes, this research aims to advance diagnostic methodologies by leveraging the sensitivity and specificity advantages of optical fiber technology, combined with targeted antibody functionalization. The study commenced with the fabrication of optical fiber sensors, incorporating interferometric tips to single-mode optic fiber pigtails. Calibration was performed using specialized software and equipment, selecting sensors with optimal sensitivity based on their performance in standardized tests. These sensors were then functionalized with CD44 antibodies, targeting the detection of HCC1806 breast cancer cells across a range of concentrations. Experimental trials were conducted to evaluate the sensors' ability to detect cell concentrations from sterilized PBS up to 10^6 cells per ml, with data collection at regular intervals.en_US
dc.identifier.citationMeirambekuly, T. (2024). Development Of Interferometric Optical Fiber Biosensor For Hcc1806 Breast Cancer Cell Detection. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/8088
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open accessen_US
dc.titleDEVELOPMENT OF INTERFEROMETRIC OPTICAL FIBER BIOSENSOR FOR HCC1806 BREAST CANCER CELL DETECTIONen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

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