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Conjugated topological cavity-states in one-dimensional photonic systems and bio-sensing applications.
Lin, Yu-Chuan; Zhang, Yu-Zhe; Cheng, Shih-Hung; Huang, Chun-Ying; Hsueh, Wen-Jeng.
Affiliation
  • Lin YC; Photonics Group, Department of Engineering Science and Ocean Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10660, Taiwan.
  • Zhang YZ; Taiwan Instrument Research Institute, National Applied Research Laboratories, 20, R&D Road VI, Hsinchu Science Park, Hsinchu 300092, Taiwan.
  • Cheng SH; Photonics Group, Department of Engineering Science and Ocean Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10660, Taiwan.
  • Huang CY; Taiwan Instrument Research Institute, National Applied Research Laboratories, 20, R&D Road VI, Hsinchu Science Park, Hsinchu 300092, Taiwan.
  • Hsueh WJ; Photonics Group, Department of Engineering Science and Ocean Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10660, Taiwan.
iScience ; 26(4): 106400, 2023 Apr 21.
Article in En | MEDLINE | ID: mdl-37034977
Traditional photonic systems are endowed with brand new properties owing to the addition of topological physics with light. A conjugated topological cavity-states (CTCS) in one-dimensional photonic systems is presented, which has not only robust light transport but also ultra-high performances, such as high quality factor (high-Q) and perfect transmission. This extraordinary CTCS can address the bottleneck of typical topological photonic systems, which can only achieve robust light transport without maintaining high performance. Furthermore, the CTCS is especially suitable for bio-photonic sensing with high resolution requirements. An ultra-sensitivity of 2000 nm/RIU and a high-Q of 109 for detecting the concentration of SARS-CoV-2 S-glycoprotein solution are obtained. Notably, the CTCS not only opens new possibilities for advanced photonics but also paves the way for high performance in topological photonic devices.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Taiwan Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: Taiwan Country of publication: United States