Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 10, 1081(2024)

Sensitive determination of lactic acid enantiomers by a chiral terahertz metasurface sensor

YANG Jun1...2,3, CHEN Xuequan1,2,*, WANG Tianwu1,2,4, FANG Guangyou1,2,4 and QI Limei3 |Show fewer author(s)
Author Affiliations
  • 1GBA branch of Aerospace Information Research Institute, Chinese Academy of Sciences, Guangzhou Guangdong 510530, China
  • 2Guangdong Provincial Key Laboratory of Terahertz Quantum Electromagnetics, Guangzhou Guangdong 510530, China
  • 3School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 4University of Chinese Academy of Sciences, Beijing 100049, China
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    Based on a flexible twisted bilayer chiral metasurface sensor, utilizing terahertz timedomain spectroscopy technology, with chiral Lactic Acid(LA) enantiomers as the research subjects, a method for sensing the concentration of chiral substances and enantiomer recognition in the terahertz band is proposed. The results show that the Transmission Circular Dichroism(TCD) of the chiral metasurface sensor shifts with the increase of concentration, and the shift amounts are different for different chiral enantiomers. The highest detection sensitivity for Levorotatory Lactic Acid(L-LA) and Dextrorotatory Lactic Acid(D-LA) are 2.6 GHz/(mg/mL) and 1.9 GHz/(mg/mL), respectively, with a detection limit as low as 0.01 mg/mL. The great potential of the chiral metasurface sensor in LA sensing and chiral recognition provides an efficient, low-cost technical method for the sensitive detection of chiral enantiomers.

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    YANG Jun, CHEN Xuequan, WANG Tianwu, FANG Guangyou, QI Limei. Sensitive determination of lactic acid enantiomers by a chiral terahertz metasurface sensor[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(10): 1081

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    Paper Information

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    Received: Jun. 5, 2024

    Accepted: Dec. 10, 2024

    Published Online: Dec. 10, 2024

    The Author Email: Xuequan CHEN (chenxq@aircas.ac.cn)

    DOI:10.11805/tkyda2024256

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