Article Text

EXHALED BREATH ANALYSIS WITH ARTIFICIAL NOSE DISCRIMINATES AMONG DIFFERENT LUNG DISEASES
  1. I Taivans1,
  2. M Bukovskis2,
  3. N Jurka2,
  4. S Remberga3
  1. 1Department of Pathology, University of Latvia, Riga, Latvia
  2. 2Insitute of Experimental and Clinical Medicine, Riga, Latvia
  3. 3Department of Pediatrics, University of Latvia, Riga, Latvia

Abstract

Objectives Smelling to establish diagnoses has been practiced in clinical medicine since ancient times. Nowadays, an electronic nose has been successfully used for detection of organic compounds in food and perfume industry. The aim of this study was to test whether exhaled breath analyzed with an artificial nose could identify and discriminate between different lung diseases.

Methods 62 individuals: 25 asthma, 13 lung cancer, 13 pneumonia, 12 other lung disease patients and 10 healthy volunteers were tested. Exhaled air was collected in plastic bags and immediately analyzed by an electronic nose instrument (9185, Nordic Sensors AB) containing 14 different odour sensors. Multifactorial logistic regression analysis was used to find correlation between the amplitudes of sensor responses and the clinical diagnoses of patients.

Results The table represents p values of significant relationship between electronic nose sensors and clinical diagnosis. Some sensors (1, 6, and 13) gave specific responses to particular disease; some other sensors (3, 5, and 7) shared the response with two diseases.

Taivans et al

Conclusions An artificial nose is able to discriminate among different lung diseases. Further development of this approach is necessary to create new screening and monitoring methods for different lung diseases.

Statistics from Altmetric.com

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.