Smelling the Diagnosis: The Electronic Nose as Diagnostic Tool in Inflammatory Arthritis. A Case-Reference Study

Brekelmans, Marjolein P. A.; Fens, Niki; Brinkman, Paul; Bos, Lieuwe D. J.; Sterk, Peter J.; Tak, Paul P.; Gerlag, Daniëlle M.

doi:10.1371/journal.pone.0151715

Cited by 35 publications

(29 citation statements)

References 41 publications

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“…Brekelman et al [178] investigated the C320 e-nose as a potential diagnostic tool for inflammatory arthritis (IA) to differentiate between inflammatory joint diseases and healthy controls. They analyzed and compared the exhaled breath of 21 rheumatoid arthritis (RA), 18 psoriatic arthritis (PsA) patients with active disease and 21 healthy controls using principal component analysis, discriminant analysis, and area under curve (AUC) of receiver operating characteristics (ROC) curves.…”

Section: Human Disease Detectionmentioning

confidence: 99%

Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

Wilson

2018

Chemosensors

102

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The development of electronic-nose (e-nose) technologies for disease diagnostics was initiated in the biomedical field for detection of biotic (microbial) causes of human diseases during the mid-1980s. The use of e-nose devices for disease-diagnostic applications subsequently was extended to plant and animal hosts through the invention of new gas-sensing instrument types and disease-detection methods with sensor arrays developed and adapted for additional host types and chemical classes of volatile organic compounds (VOCs) closely associated with individual diseases. Considerable progress in animal disease detection using e-noses in combination with metabolomics has been accomplished in the field of veterinary medicine with new important discoveries of biomarker metabolites and aroma profiles for major infectious diseases of livestock, wildlife, and fish from both terrestrial and aquaculture pathology research. Progress in the discovery of new e-nose technologies developed for biomedical applications has exploded with new information and methods for diagnostic sampling and disease detection, identification of key chemical disease biomarkers, improvements in sensor designs, algorithms for discriminant analysis, and greater, more widespread testing of efficacy in clinical trials. This review summarizes progressive advancements in utilizing these specialized gas-sensing devices for numerous diagnostic applications involving noninvasive early detections of plant, animal, and human diseases.

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Section: Human Disease Detectionmentioning

confidence: 99%

Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

Wilson

2018

Chemosensors

102

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“…Using e-nose is a less expensive and more portable way for breath analysis. Recently, e-nose has gradually been used in medicine for the diagnosis of renal disease [29], diabetes [30], lung cancer [31], and asthma [32]. Though all of these methods work satisfactorily in breath analysis, their results could possibly be improved.…”

Section: Breath Biomarker and Diseasesmentioning

confidence: 99%

Breath Analysis for Detecting Diseases on Respiratory, Metabolic and Digestive System

Kou¹,

Zhang²,

You³

et al. 2019

JBiSE

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Recently, biological technology and computer science are of great importance in medical applications. Since one's breath biomarkers have been proved to be related with diseases, it is possible to detect diseases by analysis of breath samples captured by e-noses. In this paper, a novel medical e-nose system specific to disease diagnosis was used to collect a large-scale breath dataset. Methods for signal processing, feature extracting as well as feature & sensor selection were discussed for detecting diseases on respiratory, metabolic and digestive system. Sequential forward selection is used to select the best combination of sensors and features. The experimental results showed that the proposed system was able to well distinguish healthy samples and samples with different diseases. The results also showed the most significant sensors and features for different tasks, which meets the relationship between diseases and breath biomarkers. By selecting best combination of different sensors and features for different tasks, the e-nose system is shown to be helpful and effective for diseases diagnosis on respiratory, metabolic and digestive system. Open Access https://doi.org/10.4236/jbise.2019.121004 40 J. Biomedical Science and Engineering Breath Analysis with E-NoseCurrently, the measurement of exhaled breath is usually performed by two common gas analysis apparatuses, gas chromatography (GC) [26] or electronic nose (e-nose) [27]. GC can separate and identify molecules that are responsible for typical odors occurring in specific diseases, which is very accurate for

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“…While the devices have been used in a wide variety of applications from consumer goods analysis [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] to explosives detection [ 26 , 27 , 28 , 29 ], some of the most pioneering work has been done in medical diagnostics via vapor and liquid samples from subjects. Many disease pathologies have been identified from the unique combination of metabolites, or metabolic by-products, produced [ 15 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ]. Some of these metabolites are volatile organic compounds (VOCs), which are small molecules that enter the exhaled breath through gas exchange at the alveolar-capillary membrane of the respiratory tract [ 42 ], or can even be found in body odor [ 43 , 44 ] or the vapor head space of bacterial [ 45 , 46 , 47 ], urine [ 31 , 33 , 45 , 48 ], or fecal samples [ 49 , 50 , 51 ].…”

Section: Electronic Noses and Tongue Devices Background Technologymentioning

confidence: 99%

“…Recent advances in research and technology have progressed toward personalized medicine, where large amounts of data can be analyzed to identify specific biomarkers of a disease in each individual patient. When used in parallel with methods such as GC-MS and NMR-metabolomics [ 38 , 68 ], a comprehensive breathomics approach can be successfully developed for disease diagnoses. Such a device could offer clinically relevant opportunities for objective tracking of symptoms, changes over time, response to treatment, as well as resilience to future environmental stressors.…”

Section: Electronic Noses and Tongue Devices Background Technologymentioning

confidence: 99%

Cutting Edge Methods for Non-Invasive Disease Diagnosis Using E-Tongue and E-Nose Devices

Fitzgerald

Fenniri

2017

Biosensors

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Biomimetic cross-reactive sensor arrays (B-CRSAs) have been used to detect and diagnose a wide variety of diseases including metabolic disorders, mental health diseases, and cancer by analyzing both vapor and liquid patient samples. Technological advancements over the past decade have made these systems selective, sensitive, and affordable. To date, devices for non-invasive and accurate disease diagnosis have seen rapid improvement, suggesting a feasible alternative to current standards for medical diagnostics. This review provides an overview of the most recent B-CRSAs for diagnostics (also referred to electronic noses and tongues in the literature) and an outlook for future technological development.

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Smelling the Diagnosis: The Electronic Nose as Diagnostic Tool in Inflammatory Arthritis. A Case-Reference Study

Cited by 35 publications

References 41 publications

Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

Applications of Electronic-Nose Technologies for Noninvasive Early Detection of Plant, Animal and Human Diseases

Breath Analysis for Detecting Diseases on Respiratory, Metabolic and Digestive System

Cutting Edge Methods for Non-Invasive Disease Diagnosis Using E-Tongue and E-Nose Devices

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