<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Nan J</submitter><funding>Jilin University</funding><funding>China Postdoctoral Science Foundation</funding><funding>National Natural Science Foundation of China</funding><funding>NCI NIH HHS</funding><funding>State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics</funding><pagination>9596-9605</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9805804</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(23)</volume><pubmed_abstract>Clinical serology assays for detecting the antibodies of the virus are time-consuming, are less sensitive/selective, or rely on sophisticated detection instruments. Here, we develop a sandwiched plasmonic biosensor (SPB) for supersensitive thickness-sensing via utilizing the distance-dependent electromagnetic coupling in sandwiched plasmonic nanostructures. SPBs quantitatively amplify the thickness changes on the nanoscale range (sensitivity: ∼2% nm&lt;sup>-1&lt;/sup>) into macroscopically visible signals, thereby enabling the rapid, label-free, and naked-eye detection of targeted biomolecular species (via the thickness change caused by immunobinding events). As a proof of concept, this assay affords a broad dynamic range (7 orders of magnitude) and a low LOD (∼0.3 pM), allowing for the extremely accurate SARS-CoV-2 antibody quantification (sensitivity/specificity: 100%/∼99%, with a portable optical fiber device). This strategy is suitable for high-throughput multiplexed detection and smartphone-based sensing at the point-of-care, which can be expanded for various sensing applications beyond the fields of viral infections and vaccination.</pubmed_abstract><journal>Nano letters</journal><pubmed_title>Thickness-Sensing Sandwiched Plasmonic Biosensors Enable Label-Free Naked-Eye Antibody Quantification.</pubmed_title><pmcid>PMC9805804</pmcid><funding_grant_id>F32 CA213620</funding_grant_id><funding_grant_id>2020M681046</funding_grant_id><funding_grant_id>21975098</funding_grant_id><funding_grant_id>2020TQ0119</funding_grant_id><funding_grant_id>2017TD-06</funding_grant_id><funding_grant_id>22275071</funding_grant_id><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Shan H</pubmed_authors><pubmed_authors>Liu K</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Yang B</pubmed_authors><pubmed_authors>Sun W</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Che Y</pubmed_authors><pubmed_authors>Liu B</pubmed_authors><pubmed_authors>Nan J</pubmed_authors><pubmed_authors>Xu W</pubmed_authors><pubmed_authors>Yue Y</pubmed_authors><pubmed_authors>Hettie KS</pubmed_authors><pubmed_authors>Zhu S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Thickness-Sensing Sandwiched Plasmonic Biosensors Enable Label-Free Naked-Eye Antibody Quantification.</name><description>Clinical serology assays for detecting the antibodies of the virus are time-consuming, are less sensitive/selective, or rely on sophisticated detection instruments. Here, we develop a sandwiched plasmonic biosensor (SPB) for supersensitive thickness-sensing via utilizing the distance-dependent electromagnetic coupling in sandwiched plasmonic nanostructures. SPBs quantitatively amplify the thickness changes on the nanoscale range (sensitivity: ∼2% nm&lt;sup>-1&lt;/sup>) into macroscopically visible signals, thereby enabling the rapid, label-free, and naked-eye detection of targeted biomolecular species (via the thickness change caused by immunobinding events). As a proof of concept, this assay affords a broad dynamic range (7 orders of magnitude) and a low LOD (∼0.3 pM), allowing for the extremely accurate SARS-CoV-2 antibody quantification (sensitivity/specificity: 100%/∼99%, with a portable optical fiber device). This strategy is suitable for high-throughput multiplexed detection and smartphone-based sensing at the point-of-care, which can be expanded for various sensing applications beyond the fields of viral infections and vaccination.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-04T07:47:24.2Z</modification><creation>2025-04-04T07:47:24.2Z</creation></dates><accession>S-EPMC9805804</accession><cross_references><pubmed>36394551</pubmed><doi>10.1021/acs.nanolett.2c03732</doi></cross_references></HashMap>