Overview on SNIFFPHONE: a portable device for disease diagnosis

Jaeschke, Carsten; Padilla, Marta; Antikainen, Emmi; Poļaka, Inese; González, Oriol Ríos; Richardson, K.; Pajukanta, Janne; Kortelainen, Juha; Shani, Gidi; Shuster, Gregory; Mochalski, Paweł; Leja, Mārcis; Mitrovics, Jan; Haick, Hossam

doi:10.1109/isoen.2019.8823212

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…Breath samples were administered to a breath analysis device Sniffphone, containing eight different molecularly capped gold nanoparticle (MCGNP)-based sensors. , The subject blows into the device, activating a flow sensor that opens the sensor chamber and pumps the breath sample (preventing direct breathing upon the sensors). The device also measures the ambient air beforehand, which is subtracted from the initial response of the sensors, yielding a single value for each sensor to the given sample.…”

Section: Methodsmentioning

confidence: 99%

Continuous Monitoring of Psychosocial Stress by Non-Invasive Volatilomics

et al. 2023

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Stress is becoming increasingly commonplace in modern times, making it important to have accurate and effective detection methods. Currently, detection methods such as selfevaluation and clinical questionnaires are subjective and unsuitable for long-term monitoring. There have been significant studies into biomarkers such as HRV, cortisol, electrocardiography, and blood biomarkers, but the use of multiple electrodes for electrocardiography or blood tests is impractical for real-time stress monitoring. To this end, there is a need for non-invasive sensors to monitor stress in real time. This study looks at the possibility of using breath and skin VOC fingerprinting as stress biomarkers. The Trier social stress test (TSST) was used to induce acute stress and HRV, cortisol, and anxiety levels were measured before, during, and after the test. GC−MS and sensor array were used to collect and measure VOCs. A prediction model found eight different stress-related VOCs with an accuracy of up to 78%, and a molecularly capped gold nanoparticle-based sensor revealed a significant difference in breath VOC fingerprints between the two groups. These stress-related VOCs either changed or returned to baseline after the stress induction, suggesting different metabolic pathways at different times. A correlation analysis revealed an association between VOCs and cortisol levels and a weak correlation with either HRV or anxiety levels, suggesting that VOCs may include complementary information in stress detection. This study shows the potential of VOCs as stress biomarkers, paving the way into developing a real-time, objective, non-invasive stress detection tool for well-being and early detection of stress-related diseases.

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Section: Methodsmentioning

confidence: 99%

Continuous Monitoring of Psychosocial Stress by Non-Invasive Volatilomics

et al. 2023

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“…[65,66] Sniffphone is a newly developed combination of nanoparticle based gas sensors with smart phones which provides a point of care tool for disease diagnosis. [67] Nakhleh et al [68] reviewed the progresses made on using gold nanoparticles for breath analysis. Arrays of mono-layer-capped gold nanoparticle sensors provided fast, high-throughput and cost-effective methods for exhaled breath analysis.…”

Section: Other Methodsmentioning

confidence: 99%

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Khoubnasabjafari

Mogaddam

Rahimpour

et al. 2021

Critical Reviews in Analytical Chemistry

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Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.

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“…Diseases prediction [42][43][44][45] Microorganism detection [46,47] Drugs classification [48] Environment Automobile exhaust detection [1,49] Outdoor gas monitoring [7,[50][51][52][53][54]] Indoor gas monitoring [3,55,56]…”

Section: Healthmentioning

confidence: 99%

“…Jaeschke et al [43] introduce a sniffer phone, a convenient and easy-to-use device that allows non-invasive detection of stomach problems. It uses a specially developed gas sensor array to analyze the gas exhaled by the user.…”

Section: Wireless Computingmentioning

confidence: 99%

Development of compact electronic noses: a review

Liu

Meng

Lilienthal

et al. 2021

Meas. Sci. Technol.

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An electronic nose (e-nose) is a measuring instrument that mimics human olfaction and outputs ‘fingerprint’ information of mixed gases or odors. Generally speaking, an e-nose is mainly composed of two parts: a gas sensing system (gas sensor arrays, gas transmission paths) and an information processing system (microprocessor and related hardware, pattern recognition algorithms). It has been more than 30 years since the e-nose concept was introduced in the 1980s. Since then, e-noses have evolved from being large in size, expensive, and power-hungry instruments to portable, low cost devices with low power consumption. This paper reviews the development of compact e-nose design and calculation over the last few decades, and discusses possible future trends. Regarding the compact e-nose design, which is related to its size and weight, this paper mainly summarizes the development of sensor array design, hardware circuit design, gas path (i.e. the path through which the mixed gases to be measured flow inside the e-nose system) and sampling design, as well as portable design. For the compact e-nose calculation, which is directly related to its rapidity of detection, this review focuses on the development of on-chip calculation and wireless computing. The future trends of compact e-noses include the integration with the internet of things, wearable e-noses, and mobile e-nose systems.

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Overview on SNIFFPHONE: a portable device for disease diagnosis

Cited by 8 publications

References 9 publications

Continuous Monitoring of Psychosocial Stress by Non-Invasive Volatilomics

Continuous Monitoring of Psychosocial Stress by Non-Invasive Volatilomics

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Development of compact electronic noses: a review

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