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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1.
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Updated: Jun 25, 2026

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

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Published on: December 27, 2012

Fingerprint Spectral Inversion-Enabled Terahertz Metasurface for Multidimensional Detection of Trace Antibiotics.

Peng Shen1, Yunyun Ji1, Shuocheng She2

  • 1Institute of Modern Optics, Nankai University, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Tianjin300350, China.

ACS Sensors
|June 23, 2026
PubMed
Summary

A novel Terahertz (THz) metasurface enables sensitive, label-free detection of antibiotic residues. This technology offers accurate qualitative and quantitative analysis, overcoming limitations of traditional methods for improved human health monitoring.

Keywords:
antibioticsfingerprint spectral inversionjoint feature spacemultidimensional detectionterahertz metasurface

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Area of Science:

  • Spectroscopy and Spectrometry
  • Materials Science
  • Analytical Chemistry

Background:

  • Antibiotic residues present significant human health risks.
  • Conventional detection methods are often resource-intensive and impractical.
  • Terahertz (THz) spectroscopy offers unique molecular fingerprinting capabilities for drug analysis.

Purpose of the Study:

  • To develop a Terahertz (THz) metasurface for precise qualitative and quantitative analysis of antibiotic residues.
  • To investigate the spectral response and characteristic peak formation of antibiotics in the THz band.
  • To establish a multidimensional detection system for trace antibiotic identification.

Main Methods:

  • Quantum chemical calculations to understand THz spectral responses.
  • Utilizing a THz metasurface to detect spectral dips induced by antibiotic molecular fingerprints.
  • Spectral inversion and construction of a joint feature space (resonant frequency shift, differential absorption intensity).
  • Integration of characteristic frequencies for multidimensional detection.
  • Application of machine learning for identifying multiple antibiotics.

Main Results:

  • The THz metasurface achieved qualitative and quantitative detection of two antibiotics.
  • A limit of detection as low as 1.11 μg/mm² was demonstrated.
  • Effective identification of trace norfloxacin in complex biological matrices (mouse blood).
  • Successful identification of multiple antibiotics using machine learning.

Conclusions:

  • The developed THz metasurface provides a label-free, single-platform solution for trace antibiotic detection.
  • This approach offers significant improvements over traditional methods in terms of sensitivity and practicality.
  • The technology shows potential for broad applications in biomedical detection and drug residue analysis.