Electronic Nose To Detect Patients with COPD From Exhaled Breath

Abstract

To date, there is no effective tool analysis and detection of COPD syndrome, (Chronic Obstructive Pulmonary Disease) which is linked to smoking and, less frequently to toxic substances such as, the wood smoke or other particles produced by noxious gases. According to the World Health Organization (WHO) estimates of this disease show it affects more than 52 million people and kills more than 2.7 million human beings each year. In order to solve the problem, a low-cost Electronic Nose (EN) was developed at the University of Pamplona (N.S) Colombia, for this specific purpose and was applied to a sample group of patients with COPD as well as to others who were healthy. From the exhalation breath samples of these patients, the results were as expected; an appropriate classification of the patients with the disease, as well as from the healthy group was obtained.

Identification of metabolic markers in patients with type 2 Diabetes by Ultrafast gas chromatography coupled to electronic nose. A pilot study

“…Nevertheless, the data obtained are consistent with previous studies (Adams et al, 2009; Daimon et al, 2003; Jones & Summers, 2000; Mihalik et al, 2010; Newman & Verdin, 2014; Pena et al, 2014; Sharma et al, 2013; Shokry et al, 2017; Willems et al, 2014). Similar studies have used this technique for screening diseases such as COPD (Dragonieri et al, 2009; Karthikkumar, Logamurthy, Jothimani, & Lingeswaran, 2017; Manuel et al, 2012; Velásquez et al, 2009), asthma (Bannier, van de Kant, Jöbsis, & Dompeling, 2019; Dragonieri et al, 2007), and renal disease (Di Natale et al, 1999; Lin et al, 2001).…”

Untitled

“…A smaller-scale study similarly discriminated between a small number (n = 10) of patients and controls using a SAW device incorporating 100-nm-thick polyisobutylene as the vapor-partitioning layer (109). Chronic obstructive pulmonary disease is another lung condition that was evaluated using an array of six MOS gas sensors and PCA as the classification algorithm (110). Patient samples (n = 8) were distinct from control samples (n = 4), and some evidence was presented that the device also discriminated between different disease stages.…”

Quality Control Through Electronic Nose System

“…This is the case of Chronic Obstructive Pulmonary Disease COPD, which has a mortality rate exceeding 15.9% (Velásquez et al, 2009;Velásquez, 2008). COPD is a chronic lung disease characterized by airflow limitation that is not fully reversible, with progressive deterioration and is associated with abnormal lung inflammatory response to noxious particles or gases (Velásquez et al, 2009;Velásquez, 2008 (Velásquez, 2008).…”

“…It has also been experimentally determined that if the chamber of sensors is more hermetic, it can further exploit these advantages. Figure 3 shows a photograph of a chamber of sensors used in one of our projects with EOS (Velásquez et al, 2009). …”

“…All patients diagnosed with COPD were long time smokers from 16 years up to even 50 years and most of them have already quit smoking, due to the fact that many receive medical treatment. (Velásquez et al, 2009;Velásquez, 2008). Figure 15 shows the results of PCA analysis of samples of healthy controls and patients with COPD.…”