Print Email Facebook Twitter An optical aptasensor for real-time quantification of endotoxin Title An optical aptasensor for real-time quantification of endotoxin: From ensemble to single-molecule resolution Author Zhu, P. (TU Delft ChemE/Product and Process Engineering; Nanjing University of Aeronautics and Astronautics) Papadimitriou, V. (TU Delft ChemE/Product and Process Engineering) van Dongen, Jeanne E. (University of Twente) Cordeiro, Julia (Student TU Delft) Neeleman, Yannick (Student TU Delft) Santoso, A. (TU Delft ChemE/Product and Process Engineering) Chen, Shuyi (National Taipei Universityof Technology, Taipei; Student TU Delft) Eijkel, Jan C.T. (University of Twente) Rwei, A.Y. (TU Delft ChemE/Product and Process Engineering) Date 2023 Abstract Endotoxin is a deadly pyrogen, rendering it crucial to monitor with high accuracy and efficiency. However, current endotoxin detection relies on multistep processes that are labor-intensive, time-consuming, and unsustainable. Here, we report an aptamer-based biosensor for the real-time optical detection of endotoxin. The endotoxin sensor exploits the distance-dependent scattering of gold nanoparticles (AuNPs) coupled to a gold nanofilm. This is enabled by the conformational changes of an endotoxin-specific aptamer upon target binding. The sensor can be used in an ensemble mode and single-particle mode under dark-field illumination. In the ensemble mode, the sensor is coupled with a microspectrometer and exhibits high specificity, reliability (i.e., linear concentration to signal profile in logarithmic scale), and reusability for repeated endotoxin measurements. Individual endotoxins can be detected by monitoring the color of single AuNPs via a color camera, achieving single-molecule resolution. This platform can potentially advance endotoxin detection to safeguard medical, food, and pharmaceutical products. To reference this document use: http://resolver.tudelft.nl/uuid:86f93718-9c19-492d-b409-353423baa375 DOI https://doi.org/10.1126/sciadv.adf5509 ISSN 2375-2548 Source Science Advances, 9 (6) Part of collection Institutional Repository Document type journal article Rights © 2023 P. Zhu, V. Papadimitriou, Jeanne E. van Dongen, Julia Cordeiro, Yannick Neeleman, A. Santoso, Shuyi Chen, Jan C.T. Eijkel, A.Y. Rwei, More Authors Files PDF sciadv.adf5509.pdf 957.48 KB Close viewer /islandora/object/uuid:86f93718-9c19-492d-b409-353423baa375/datastream/OBJ/view