{"id":150075,"date":"2025-12-02T11:59:43","date_gmt":"2025-12-02T16:59:43","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=150075"},"modified":"2025-12-02T11:59:43","modified_gmt":"2025-12-02T16:59:43","slug":"ucf-researcher-creates-novel-sensors-for-smartphone-based-health-monitoring","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-researcher-creates-novel-sensors-for-smartphone-based-health-monitoring\/","title":{"rendered":"UCF Researcher Creates Novel Sensors for Smartphone-Based Health Monitoring"},"content":{"rendered":"<p>Professor Debashis Chanda (right), working with researchers including physics doctoral student Mahdi Soudi (left), created a smartphone-based biosensor to improve infectious disease detection. The platform provides a faster, more affordable option for communities with limited access to traditional diagnostics.<\/p>\n<p>Early diagnosis of infectious disease is key to slowing outbreaks and improving treatment outcomes. However, current diagnostic techniques are time-consuming, require specialized equipment and are dependent on trained personnel, which hinders accessibility in resource-limited areas.<\/p>\n<h3>A Low-Cost, Smartphone-Enabled Diagnostic Platform<\/h3>\n<figure id=\"attachment_150083\" style=\"max-width: 186px;\" class=\"figure float-left\"><noscript><img decoding=\"async\" width=\"186\" height=\"300\" class=\"figure-img img-fluid w-100 wp-image-150083 size-medium\" src=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-186x300.jpg\" alt=\"An iPhone lies face up on a table displaying a bar graph on the screen.\" srcset=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-186x300.jpg 186w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-496x800.jpg 496w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-318x512.jpg 318w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-248x400.jpg 248w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-223x360.jpg 223w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor.jpg 579w\" sizes=\"(max-width: 186px) 100vw, 186px\"><\/noscript><img decoding=\"async\" width=\"186\" height=\"300\" class=\"figure-img img-fluid w-100 wp-image-150083 size-medium lazyload\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20186%20300%22%3E%3C%2Fsvg%3E\" alt=\"An iPhone lies face up on a table displaying a bar graph on the screen.\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20186%20300%22%3E%3C%2Fsvg%3E 186w\" sizes=\"(max-width: 186px) 100vw, 186px\" data-srcset=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-186x300.jpg 186w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-496x800.jpg 496w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-318x512.jpg 318w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-248x400.jpg 248w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-223x360.jpg 223w, https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor.jpg 579w\" data-src=\"https:\/\/www.ucf.edu\/wp-content\/blogs.dir\/20\/files\/2025\/12\/smartphone-biosensor-186x300.jpg\"><figcaption class=\"figure-caption\">The self-assembled colorimetric biosensor can be read using a regular smartphone. (Photo courtesy of Debashis Chanda)<\/figcaption><\/figure>\n<p>UCF researcher Debashis Chanda, a professor at UCF\u2019s <a href=\"https:\/\/www.nanoscience.ucf.edu\/\">NanoScience Technology Center<\/a>, has developed a self-assembled colorimetric biosensor that can be read using a regular smartphone. The cost-effective platform delivers sensitive and robust detection without needing any sophisticated equipment. The <a href=\"https:\/\/www.ucf.edu\/research\/\">research<\/a> was recently published and featured as a cover article in <em>Nano Letters<\/em>, an esteemed scholarly journal published by the American Chemical Society.<\/p>\n<p>Additional researchers on this study include Mahdi Soudi \u2014 a physics doctoral student and the lead author of the publication \u2014 as well as Caitlin Beech, Pablo Cencillo-Abad, Ishani Chanda, A\u0301ngel David Torres Palencia, Amir Ghazizadeh, Pamela Mastranzo-Ortega, Freya Mehta, Javier Sanchez-Mondrag\u00f3n and Abraham V\u00e1zquez-Guardado.<\/p>\n<p>The technology combines several novel features:<\/p>\n<ul>\n<li>Wafer-level fabrication without complex lithography<\/li>\n<li>Label-free assay format<\/li>\n<li>Smartphone-enabled readout for portable and low-cost analysis<\/li>\n<li>Broad dynamic range that spans physiologically relevant IgG concentrations with high reproducibility<\/li>\n<\/ul>\n<p>Together, these attributes distinguish this approach from earlier colorimetric sensors and showcase its strong potential for real-world applications.<\/p>\n<p>\u201cThe sensor works well because of its simple design: a layer of aluminum nanoparticles on a thin optical cavity. This setup makes it very sensitive to small molecular interactions. The sensor uses structural color \u2014 like the vivid colors seen in some species \u2014 created by the arrangement of two colorless materials. The color can change based on shifts in the local refractive index caused by molecular binding, which alters the resonance and the color seen on the surface. These color changes can be measured using a smartphone,\u201d Chanda says.<\/p>\n<h3>Inspired by Vivid Colors<\/h3>\n<p>Based on such bio-inspirations, Chanda\u2019s research group innovated a colorimetric sensor, which utilizes the nanoscale structural arrangement of colorless materials to create colors and corresponding changes in colors to sense molecules.<\/p>\n<p>While pigment colorants control light absorption based on the material\u2019s electronic properties \u2014 meaning every color needs a new molecule and isn\u2019t sensitive to the surrounding environment \u2014 structural colorants control the way light is reflected, scattered or absorbed based purely on the geometrical arrangement of nanostructures and are sensitive to change of medium.<\/p>\n<p>Such structural color-based sensors are environmentally friendly, relying only on metals and oxides, unlike other sensors that use artificially synthesized colorants made from complex, toxic molecules.<\/p>\n<h3>Designed for Real-World Use<\/h3>\n<p>To demonstrate its translational potential, the research team also developed a smartphone application that processes user-captured sensor images and estimates analyte concentration, eliminating the need for bulky optics, spectrometers or trained personnel. This biosensing strategy paves the way for low-cost, rapid, user-friendly diagnostics, empowering individuals to combat infectious diseases and outbreaks more effectively.<\/p>\n<p>\u201cThis work introduces a novel platform that addresses the limitations of conventional diagnostic techniques such as complexity, the need for specialized equipment and lack of accessibility,\u201d Chanda says. \u201cHere, we\u2019re not limited by such stringent resource requirements. A smartphone can be used as a diagnostic tool for most point-of-care needs.\u201d<\/p>\n<p>In addition to its diagnostic utility, the platform is highly scalable. More than 20 independent deposition runs supporting over 50 assays showed consistent sensor performance, with yields above 90% and defects mainly due to handling rather than fabrication variability. Because the fabrication relies on thin-film deposition and self-assembly instead of costly lithography, the sensors are inexpensive to produce and compatible with wafer-scale production, making them ideal for disposable point-of-care diagnostics.<\/p>\n<h3>Future Research<\/h3>\n<p>Chanda says the next steps of the project include further exploration of sensor sensitivity and selectivity aspects to improve its viability as a commercial biochemical sensing platform.<\/p>\n<p>\u201cThis biosensing platform holds promise for addressing unmet needs in precise, rapid antibody detection and represents a significant step toward the development of robust, field-deployable biosensors capable of meeting diagnostic requirements in resource-limited and decentralized healthcare environments,\u201d Chanda says.<\/p>\n<h3>Licensing Opportunity<\/h3>\n<p>For more information about licensing this technology, visit <a href=\"http:\/\/tt.research.ucf.edu\/\">UCF\u2019s Office of Technology Transfer<\/a>.<\/p>\n<h3>Researcher Credentials<\/h3>\n<p>Chanda holds joint appointments in UCF\u2019s NanoScience Technology Center, the Department of Physics and the <a href=\"https:\/\/www.ucf.edu\/college\/optics-photonics\/\">College of Optics and Photonics<\/a>. He received his doctoral degree in photonics from the University of Toronto and completed a postdoctoral fellowship at the University of Illinois at Urbana-Champaign. He joined UCF in Fall 2012.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Professor Debashis Chanda\u2019s low-cost, smartphone-based biosensor could bring rapid, reliable disease detection to areas with limited access to traditional diagnostics.<\/p>\n","protected":false},"author":242,"featured_media":150078,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"lazy_load_responsive_images_disabled":false,"footnotes":"","_links_to":"","_links_to_target":"","_wp_rev_ctl_limit":""},"categories":[5,23,24],"tags":[982,11131,10899,3279],"tu_author":[],"class_list":["post-150075","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-colleges","category-research","category-science-technology","tag-college-of-sciences","tag-debashis-chanda","tag-department-of-physics","tag-nanoscience-technology-center"],"yoast_head":"<!-- This site is optimized with the 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