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Updated: Dec 29, 2025

Atomic Force Microscopy Combined with Infrared Spectroscopy as a Tool to Probe Single Bacterium Chemistry
Published on: September 15, 2020
Identifying different types of microorganisms with terahertz spectroscopy.
S A Yoon1,2, S H Cha1,2, S W Jun1
1Department of Physics and Department of Energy Systems Research, Ajou University, Suwon 16499, South Korea.
This study introduces a novel method for identifying microorganisms like molds, yeasts, and bacteria using their unique dielectric properties in the terahertz (THz) frequency range, eliminating the need for pretreatment.
Area of Science:
- Microbiology
- Physics
- Materials Science
Background:
- Traditional microbial detection methods often require extensive sample pretreatment, including fluorescent labeling and cultivation.
- These pretreatment steps can be time-consuming and may affect the microbial sample.
- There is a need for rapid, label-free microbial identification techniques.
Purpose of the Study:
- To develop and validate a novel approach for classifying and identifying microorganisms based on their intrinsic dielectric properties.
- To investigate the dielectric constants of molds, yeasts, and bacteria in the terahertz (THz) frequency range.
- To correlate observed dielectric differences with microbial cell wall composition.
Main Methods:
- Measurement of dielectric constants for various microbial species films in the THz frequency range.
- Application of effective medium theory to extract individual microbial dielectric values.
- Utilizing microfluidic metamaterials for low-density measurements in aqueous environments.
- Analysis of cell wall components (peptidoglycan, chitin, glucans) to understand dielectric variations.
Main Results:
- Distinct dielectric constant ranges were observed: molds (1.24-1.85), bacteria (2.75-4.11), and yeasts (5.63-5.97).
- Yeasts exhibited dielectric constants higher than water, while molds and bacteria showed lower values.
- Microfluidic metamaterial measurements confirmed these findings, showing blue shifts for molds/bacteria and red shifts for yeasts.
- Cell wall composition, including peptidoglycan and polysaccharides, was identified as the primary factor influencing dielectric properties.
Conclusions:
- Intrinsic dielectric constants in the THz range provide a label-free method for differentiating between molds, yeasts, and bacteria.
- The observed dielectric properties are strongly linked to the specific composition of microbial cell walls.
- This THz-based technique offers a promising alternative to conventional microbial detection methods, enabling rapid and accurate identification.
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