JPL Electronic Nose

The JPL Electronic Nose (ENose) is a full-time, continuously operating event monitor designed to detect air contamination from spills and leaks in the crew habitat in the International Space Station. It fills the long-standing gap between onboard alarms and complex analytical instruments. ENose provides rapid, early identification and quantification of atmospheric changes caused by chemical species to which it has been trained. ENose can also be used to monitor cleanup processes after a leak or a spill

Detection of Bacterial Colonization in Lung Transplant Recipients Using an Electronic Nose

Bacterial colonization (BC) of the lower airways is common in lung transplant recipients (LTRs) and increases the risk of chronic lung allograft dysfunction. Diagnosis often requires bronchoscopy. Exhaled breath analysis using electronic nose (eNose) technology may noninvasively detect BC in LTRs. Therefore, we aimed to assess the diagnostic accuracy of an eNose to detect BC in LTRs. Methods. We performed a cross-sectional analysis within a prospective, single-center cohort study assessing the diagnostic accuracy of detecting BC using eNose technology in LTRs. In the outpatient clinic, consecutive LTR eNose measurements were collected. We assessed and classified the eNose measurements for the presence of BC. Using supervised machine learning, the diagnostic accuracy of eNose for BC was assessed in a random training and validation set. Model performance was evaluated using receiver operating characteristic analysis. Results. In total, 161 LTRs were included with 80 exclusions because of various reasons. Of the remaining 81 patients, 16 (20%) were classified as BC and 65 (80%) as non-BC. eNose-based classification of patients with and without BC provided an area under the curve of 0.82 in the training set and 0.97 in the validation set. Conclusions. Exhaled breath analysis using eNose technology has the potential to noninvasively detect BC.</p

The influence of smoking status on exhaled breath profiles in asthma and COPD patients

Breath analysis using eNose technology can be used to discriminate between asthma and COPD patients, but it remains unclear whether results are influenced by smoking status. We aim to study whether eNose can discriminate between ever- vs. never-smokers and smoking &lt;24 vs. &gt;24 h before the exhaled breath, and if smoking can be considered a confounder that influences eNose results. We performed a cross-sectional analysis in adults with asthma or chronic obstructive pulmonary disease (COPD), and healthy controls. Ever-smokers were defined as patients with current or past smoking habits. eNose measurements were performed by using the SpiroNose. The principal component (PC) described the eNose signals, and linear discriminant analysis determined if PCs classified ever-smokers vs. never-smokers and smoking &lt;24 vs. &gt;24 h. The area under the receiver-operator characteristic curve (AUC) assessed the accuracy of the models. We selected 593 ever-smokers (167 smoked &lt;24 h before measurement) and 303 never-smokers and measured the exhaled breath profiles of discriminated ever- and never-smokers (AUC: 0.74; 95% CI: 0.66-0.81), and no cigarette consumption &lt;24h (AUC 0.54, 95% CI: 0.43-0.65). In healthy controls, the eNose did not discriminate between ever or never-smokers (AUC 0.54; 95% CI: 0.49-0.60) and recent cigarette consumption (AUC 0.60; 95% CI: 0.50-0.69). The eNose could distinguish between ever and neversmokers in asthma and COPD patients, but not recent smokers. Recent smoking is not a confounding factor of eNose breath profiles

Application of a Single-Type eNose to Discriminate the Brewed Aroma of One Caffeinated and Decaffeinated Encapsulated Espresso Coffee Type

This paper assesses a custom single-type electronic nose (eNose) applied to differentiate the complex aromas generated by the caffeinated and decaffeinated versions of one encapsulated espresso coffee mixture type. The eNose used is composed of 16 single-type (identical) metal–oxide semiconductor (MOX) gas sensors based on microelectromechanical system (MEMS). This eNose proposal takes advantage of the small but inherent sensing variability of MOX gas sensors in order to provide a multisensorial description of volatiles or aromas. Results have shown that the information provided with this eNose processed using LDA is able to successfully discriminate the complex aromas of one caffeinated and decaffeinated encapsulated espresso coffee type

Assessing over Time Performance of an eNose Composed of 16 Single-Type MOX Gas Sensors Applied to Classify Two Volatiles

This paper assesses the over time performance of a custom electronic nose (eNose) composed of an array of commercial low-cost and single-type miniature metal-oxide (MOX) semiconductor gas sensors. The eNose uses 16 BME680 versatile sensor devices, each including an embedded non-selective MOX gas sensor that was originally proposed to measure the total volatile organic compounds (TVOC) in the air. This custom eNose has been used previously to detect ethanol and acetone, obtaining initial promising classification results that worsened over time because of sensor drift. The current paper assesses the over time performance of different classification methods applied to process the information gathered from the eNose. The best classification results have been obtained when applying a linear discriminant analysis (LDA) to the normalized conductance of the sensing layer of the 16 MOX gas sensors available in the eNose. The LDA procedure by itself has reduced the influence of drift in the classification performance of this single-type eNose during an evaluation period of three month

A Rapid Detection of Meat Spoilage using an Electronic Nose and Fuzzy-Wavelet systems

Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid detection of meat spoilage microorganisms during aerobic or modified atmosphere storage, an electronic nose with the aid of fuzzy wavelet network has been considered in this research. The proposed model incorporates a clustering pre-processing stage for the definition of fuzzy rules. The dual purpose of the proposed modelling approach is not only to classify beef samples in the respective quality class (i.e. fresh, semi-fresh and spoiled), but also to predict their associated microbiological population directly from volatile compounds fingerprints. Comparison results against neural networks and neurofuzzy systems indicated that the proposed modelling scheme could be considered as a valuable detection methodology in food microbiolog

Two Beer(s) or Not Two Beer(s): The eNose as an Instrument to Pacify the World.

BACKGROUND Science prizes that are not meant to be very serious, stand-up evenings, science slams or publications with a scientific twist: science comedy comes in very different forms. But all variants have one thing in common: humour. It can be used to hide the seriousness of life or, in this case, everyday scientific life for a brief moment. Moreover, serious social or ethical questions are also met. The GPP, a group of German, Austrian and Swiss Pediatric Pulmonologists (GPP) is a scientific society with regular annual meetings. Unsystematic observations and preliminary data suggest that beer consumption increased by some of the participants during this event. Recently, electronic nose (eNose) devices have been developed as a technology for disease screening using exhaled-breath analysis. Here we addressed the issue, if the eNose can be used to differentiate between real beer and fake beer. METHODS In this single-centre experimental study, 12 different "real beer" types and one "fake beer" were analyzed with regard to their emittance of volatile organic compounds (VOCs) with the eNose as an electronic VOC-sensing technology. RESULTS Every single beer type can be identified by a characteristic VOC-smell print using the eNose. Distinct clusters exist for bottom- and top-fermented ales. Intriguingly, "Sylter Hopfen", which is marketed as a "champagne-beer" and tested as representative of a "fake beer", can be clearly differentiated from all other genuine beer types. CONCLUSION Our study provides the first objective data of beer flavor. In the long term perspective the eNose might help to overcome the agonizing controversy about beer flavors and, consequently, pacify the World. In the short run, however, our results give support to more targeted and reserved beer consumption during our annual meeting, especially since one specific beer shows a very similar pattern to indoor air. HINTERGRUND UND FRAGESTELLUNG Sogenannte Stand-up-Abende, Science Slams oder Publikationen wie in der «Christmas-Edition» des "British Medical Journals" haben eines gemeinsam: Humor. Humor kann dabei helfen, der Ernsthaftigkeit des Alltags - auch der des Wissenschaftlers - für einen kurzen Moment zu entfliehen. Die wissenschaftliche Gesellschaft Pädiatrische Pneumologie (GPP e. V.) ist eine Gruppe deutscher, österreichischer und schweizer Kinderpneumolog:innen, die sich regelmässig zu ihrer Jahrestagung treffen. Nicht-systematisch erhobene Daten und persönliche Beobachtungen deuten darauf hin, dass der Bierkonsum von einigen der Teilnehmer:innen während dieser Veranstaltung signifikant ansteigt. Vor kurzem wurde mit der «eNose» eine sogenannte «elektronische Nase» entwickelt, die als Screening-Instrument zur Atemgasanalyse eingesetzt werden kann. Hier haben wir die Frage gestellt, ob die eNose verwendet werden kann, um unterschiedliche Biersorten zu unterscheiden und echte Biere von sogenannten «Fake-Bieren» zu diskriminieren. METHODEN In dieser monozentrischen, experimentellen Studie wurden 12 verschiedene "echte Biersorten" und ein "Fake-Bier" hinsichtlich ihrer Emission flüchtiger organischer Verbindungen (VOCs) mit der eNose als elektronische VOC-Sensortechnologie analysiert. ERGEBNISSE Jede einzelne Biersorte lässt sich anhand eines charakteristischen, reproduzierbaren VOC-Profils mit der eNose identifizieren. Dabei clustern sogenannte unter- und obergärige Biere mit einem spezifischen Muster. "Sylter Hopfen", das als "Champagner-Bier" vermarktet und als «Fake-Bier» getestet wurde, unterscheidet sich in seinem VOC-Profil von allen anderen «echten» Biersorten. SCHLUSSFOLGERUNG Unsere Studie liefert die ersten objektiven Daten zu spezifischen VOC-Mustern von verschiedenen Biersorten. Langfristig könnte die eNose dabei helfen, die emotionale Kontroverse um Bieraromen zu überwinden und damit die Welt zu befrieden. Kurzfristig stützen unsere Ergebnisse die Empfehlung nach einem zurückhaltenden Bierkonsum während unserer Jahrestagung, zumal spezifischen VOC-Mustern einiger Biere ein sehr ähnliches Muster wie Raumluft zeigen

Classification of Three Volatiles Using a Single-Type eNose with Detailed Class-Map Visualization

The use of electronic noses (eNoses) as analysis tools are growing in popularity; however, the lack of a comprehensive, visual representation of how the different classes are organized and distributed largely complicates the interpretation of the classification results, thus reducing their practicality. The new contributions of this paper are the assessment of the multivariate classification performance of a custom, low-cost eNose composed of 16 single-type (identical) MOX gas sensors for the classification of three volatiles, along with a proposal to improve the visual interpretation of the classification results by means of generating a detailed 2D class-map representation based on the inverse of the orthogonal linear transformation obtained from a PCA and LDA analysis. The results showed that this single-type eNose implementation was able to perform multivariate classification, while the class-map visualization summarized the learned features and how these features may affect the performance of the classification, simplifying the interpretation and understanding of the eNose results