{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T03:13:30Z","timestamp":1770434010303,"version":"3.49.0"},"reference-count":42,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2011,1,26]],"date-time":"2011-01-26T00:00:00Z","timestamp":1296000000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper, we describe guided-mode resonance biochemical sensor technology. We briefly discuss sensor fabrication and show measured binding dynamics for example biomaterials in use in our laboratories. We then turn our attention to a particularly powerful attribute of this technology not possessed by competing methods. This attribute is the facile generation of multiple resonance peaks at an identical physical location on the sensor surface. These peaks respond uniquely to the biomolecular event, thereby enriching the data set available for event quantification. The peaks result from individual, polarization-dependent resonant leaky modes that are the foundation of this technology. Thus, by modeling the binding event and fitting to a rigorous electromagnetic formalism, we can determine individual attributes of the biolayer and its surroundings and avoid a separate reference site for background monitoring. Examples provide dual-polarization quantification of biotin binding to a silane-coated sensor as well as binding of the cancer biomarker protein calreticulin to its monoclonal IgG capture antibody. Finally, we present dual-polarization resonance response for poly (allylamine hydrochloride) binding to the sensor with corresponding results of backfitting to a simple model; this differentiates the contributions from biolayer adhesion and background changes.<\/jats:p>","DOI":"10.3390\/s110201476","type":"journal-article","created":{"date-parts":[[2011,1,26]],"date-time":"2011-01-26T11:17:26Z","timestamp":1296040646000},"page":"1476-1488","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["Resonant Photonic Biosensors with Polarization-Based Multiparametric Discrimination in Each Channel"],"prefix":"10.3390","volume":"11","author":[{"given":"Robert","family":"Magnusson","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Arlington, Box 19016, Arlington, TX 76019, USA"},{"name":"Resonant Sensors Incorporated, 416 Yates Street, 518 NH, Arlington, TX 76010, USA"}]},{"given":"Debra","family":"Wawro","sequence":"additional","affiliation":[{"name":"Resonant Sensors Incorporated, 416 Yates Street, 518 NH, Arlington, TX 76010, USA"}]},{"given":"Shelby","family":"Zimmerman","sequence":"additional","affiliation":[{"name":"Resonant Sensors Incorporated, 416 Yates Street, 518 NH, Arlington, TX 76010, USA"}]},{"given":"Yiwu","family":"Ding","sequence":"additional","affiliation":[{"name":"Resonant Sensors Incorporated, 416 Yates Street, 518 NH, Arlington, TX 76010, USA"}]}],"member":"1968","published-online":{"date-parts":[[2011,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.1063\/1.107703","article-title":"New principle for optical filters","volume":"61","author":"Magnusson","year":"1992","journal-title":"Appl. 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