Laser & Optoelectronics Progress, Volume. 56, Issue 23, 233001(2019)

Rapid Online Identification of Hazardous Substances in Mail Using Terahertz Technology

Tao Li1, Liang Zhang1, Jian'an He2,3, Sixiang Zhang1、*, and Dayong Gu2,3、**
Author Affiliations
  • 1School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2Shenzhen Academy of Inspection and Quarantine, Shenzhen, Guangdong 518010, China
  • 3Shenzhen International Travel Health Care Center, Shenzhen, Guangdong 518033, China
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    The terahertz waves exhibit spectral fingerprint characteristics and penetrability for nonpolar substances, which have huge potential applications in the identification of hazardous substances hidden in mail. Currently, the commonly used terahertz optical-constant-extraction algorithms have the disadvantages of being complicated and requiring lengthy computations as well as samples with known thicknesses. In this study, we propose a method of directly calculating the characteristic absorption frequencies based on the amplitudes of the terahertz transmission coefficients to alleviate the shortcomings associated with the conventional algorithms and satisfy the rapid-processing requirement of real-time mail detection. The calculation procedure is considerably simplified by using the proposed method because the calculation only needs to be conducted once. To further improve the processing speed, we propose data processing methods that use abnormal data filtering and low-pass filtering instead of requiring multiple measurements and average filtering. Therefore, all the data measurements can be completed once. Furthermore, the characteristic absorption frequencies of the sucrose and benzophenone samples obtained using the proposed method are consistent with those obtained using the conventional method.

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    Tao Li, Liang Zhang, Jian'an He, Sixiang Zhang, Dayong Gu. Rapid Online Identification of Hazardous Substances in Mail Using Terahertz Technology[J]. Laser & Optoelectronics Progress, 2019, 56(23): 233001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 22, 2019

    Accepted: Jun. 3, 2019

    Published Online: Nov. 27, 2019

    The Author Email: Zhang Sixiang (13502063552@163.com), Gu Dayong (wanhood@163.com)

    DOI:10.3788/LOP56.233001

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