Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network.

Journal: The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
Published Date: Jul 1, 2017

Abstract

OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis.

Authors

  • E I Mohamed
    Department of Medical Biophysics.
  • M A Mohamed
    Department of Chemical Pathology, Medical Research Institute.
  • M H Moustafa
    Department of Medical Biophysics.
  • S M Abdel-Mageed
    Physics Department, Faculty of Science, Alexandria University, Alexandria.
  • A M Moro
    Biomedical Equipment and Systems Department, Faculty of Applied Medical Sciences, 6 October University, Cairo.
  • A I Baess
    Chest Diseases Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
  • S M El-Kholy
    Medical Biophysics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt.

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