Journal of Applied Spectroscopy

, Volume 85, Issue 6, pp 1029–1036 | Cite as

Classification of Pathogenic Bacteria Using Near-Infrared Diffuse Reflectance Spectroscopy

  • Pin WangEmail author
  • Jie Wang
  • Lirui Wang
  • Meifang Yin
  • Yongming Li
  • Jun WuEmail author

Near-infrared diffuse reflectance spectroscopy is proposed for the classification of pathogenic bacteria using optical properties. The spectrally resolved data are analyzed using a diffuse reflectance model to extract the local optical properties, including the reduced scattering coefficient and absorption coefficient. The optical properties at different wavelengths form the feature set. A particle swarm optimization-based support vector machine is used to classify seven categories of bacteria. The experimental results demonstrate the feasibility of the method for the rapid and noninvasive classification of pathogenic bacteria using optical properties.


pathogenic bacteria optical properties near-infrared diffuse reflectance spectroscopy particle swarm optimization support vector machine 


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Communication EngineeringChongqing UniversityChongqingChina
  2. 2.Institute of Burn Research, Southwest HospitalThird Military Medical UniversityChongqingChina
  3. 3.The First Affiliated Hospital Sun Yat-Sen University, Department of BurnsGuangzhouChina

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