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Opt."],"published-print":{"date-parts":[[2025,6,1]]},"abstract":"<jats:p>Despite advancements in optical biosensing technologies, existing\n\t\t\t\t\tmethods for detecting dengue-infected blood components often lack the\n\t\t\t\t\tsensitivity and precision required for early diagnosis, emphasizing\n\t\t\t\t\tthe necessity of better sensor designs. A compact photonic crystal\n\t\t\t\t\tnanocavity-based optical sensor has been designed to detect\n\t\t\t\t\tdengue-infected blood components. The simulation is performed using\n\t\t\t\t\tthe finite-difference time-domain numerical technique with a Gaussian\n\t\t\t\t\tsource. The transmission spectrum and corresponding resonance shifts\n\t\t\t\t\thave been analyzed to evaluate the proposed sensor\u2019s performance.\n\t\t\t\t\tUtilizing the C-band (1550 to 1600\u00a0nm) optical source, the\n\t\t\t\t\tsensor system has been designed and numerically analyzed to detect\n\t\t\t\t\tdengue-infected blood components. The geometrical parameter of the\n\t\t\t\t\tnanocavity is also optimized with variation in the number of silicon\n\t\t\t\t\trods and their radii to maximize the device detection sensitivity. The\n\t\t\t\t\tresults demonstrate that a maximum sensitivity of 899\u00a0nm\/RIU\n\t\t\t\t\tand a quality factor of 711 are achieved. The figure of merit and\n\t\t\t\t\tdetection limit have been calculated as  and , respectively. We have compared our\n\t\t\t\t\tproposed sensor with the previous designs from the literature,\n\t\t\t\t\tdemonstrating improved sensitivity, lower detection limits, and a more\n\t\t\t\t\tcompact footprint with . These enhancements suggest that our\n\t\t\t\t\tdevice can outperform state-of-the-art sensors to the best of the\n\t\t\t\t\tauthors\u2019 knowledge.<\/jats:p>","DOI":"10.1364\/ao.562766","type":"journal-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T12:00:34Z","timestamp":1746446434000},"page":"4615","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Dengue disease detection via a minimal area 2D photonic crystal nanocavity-based refractive index optical biosensor: numerical analysis"],"prefix":"10.1364","volume":"64","author":[{"given":"Shamshad","family":"Alam","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0022nd079","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7190-4934","authenticated-orcid":true,"given":"Mohd Mansoor","family":"Khan","sequence":"additional","affiliation":[{"name":"Indian Institute of Information Technology Guwahati"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8172-0277","authenticated-orcid":true,"given":"Ramesh Kumar","family":"Sonkar","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0022nd079","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"ao-64-16-4615-R1","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1001\/jama.2024.8573","volume":"332","author":"Zhou","year":"2024","journal-title":"Jama"},{"key":"ao-64-16-4615-R2","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.bbe.2018.03.002","volume":"38","author":"Hegde","year":"2018","journal-title":"Biocybern. 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All rights, including\n\t\t\t\t\tfor text and data mining (TDM), Artificial Intelligence (AI) training,\n\t\t\t\t\tand similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}