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https://hdl.handle.net/10356/173764
Title: | Submonolayer biolasers for ultrasensitive biomarker detection | Authors: | Gong, Chaoyang Yang, Xi Tang, Shui-Jing Zhang, Qian-Qian Wang, Yanqiong Liu, Yi-Ling Chen, Yu-Cheng Peng, Gang-Ding Fan, Xudong Xiao, Yun-Feng Rao, Yun-Jiang Gong, Yuan |
Keywords: | Engineering | Issue Date: | 2023 | Source: | Gong, C., Yang, X., Tang, S., Zhang, Q., Wang, Y., Liu, Y., Chen, Y., Peng, G., Fan, X., Xiao, Y., Rao, Y. & Gong, Y. (2023). Submonolayer biolasers for ultrasensitive biomarker detection. Light: Science & Applications, 12(1), 292-. https://dx.doi.org/10.1038/s41377-023-01335-8 | Journal: | Light: Science & Applications | Abstract: | Biomarker detection is key to identifying health risks. However, designing sensitive and single-use biosensors for early diagnosis remains a major challenge. Here, we report submonolayer lasers on optical fibers as ultrasensitive and disposable biosensors. Telecom optical fibers serve as distributed optical microcavities with high Q-factor, great repeatability, and ultralow cost, which enables whispering-gallery laser emission to detect biomarkers. It is found that the sensing performance strongly depends on the number of gain molecules. The submonolayer lasers obtained a six-order-of-magnitude improvement in the lower limit of detection (LOD) when compared to saturated monolayer lasers. We further achieve an ultrasensitive immunoassay for a Parkinson's disease biomarker, alpha-synuclein (α-syn), with a lower LOD of 0.32 pM in serum, which is three orders of magnitude lower than the α-syn concentration in the serum of Parkinson's disease patients. Our demonstration of submonolayer biolaser offers great potentials in high-throughput clinical diagnosis with ultimate sensitivity. | URI: | https://hdl.handle.net/10356/173764 | ISSN: | 2047-7538 | DOI: | 10.1038/s41377-023-01335-8 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2023 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
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