101. Single-molecule detection of biomarker and localized cellular photothermal therapy using an optical microfiber with nanointerface
- Author
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Guanhua Hou, He Liang, Lili Liang, Yunyun Huang, Xinhuan Feng, Pengwei Chen, Yugang Huang, Xiaotian Zhao, Aoxiang Xiao, Hongtao Li, and Bai-Ou Guan
- Subjects
business.product_category ,Materials science ,genetic structures ,Receptor, ErbB-2 ,Materials Science ,Nanotechnology ,Biosensing Techniques ,02 engineering and technology ,010402 general chemistry ,Sensitivity and Specificity ,01 natural sciences ,Microfiber ,Humans ,Molecule ,Optical Fibers ,Research Articles ,Plasmon ,Detection limit ,Multidisciplinary ,SciAdv r-articles ,Optics ,Hyperthermia, Induced ,Models, Theoretical ,Phototherapy ,Photothermal therapy ,021001 nanoscience & nanotechnology ,eye diseases ,Single Molecule Imaging ,0104 chemical sciences ,Applied Sciences and Engineering ,Cancer cell ,sense organs ,0210 nano-technology ,business ,Algorithms ,Biomarkers ,Research Article - Abstract
An optical microfiber with nanointerface is developed for single-molecule detection and cellular photothermal therapy., For early-stage diagnostics, there is a strong demand for sensors that can rapidly detect biomarkers at ultralow concentration or even at the single-molecule level. Compared with other types of sensors, optical microfibers are more convenient for use as point-of-care devices in early-stage diagnostics. However, the relatively low sensitivity strongly hinders their use. To this end, an optical microfiber is functionalized with a plasmonic nanointerface consisting of black phosphorus–supported Au nanohybrids. The microfiber is able to detect epidermal growth factor receptor (ErbB2) at concentrations ranging from 10 zM to 100 nM, with a detection limit of 6.72 zM, enabling detection at the single-molecule level. The nanointerface-sensitized microfiber is capable of differentiating cancer cells from normal cells and treating cancer cells through cellular photothermal therapy. This work opens up a possible approach for the integration of cellular diagnosis and treatment.
- Published
- 2019
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