Direct analysis of human breath ammonia using corona discharge ion mobility spectrometry

Jazan, Elham; Mirzaei, Habibollah

doi:10.1016/j.jpba.2013.08.047

Cited by 18 publications

(9 citation statements)

References 27 publications

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“…Several strategies have been employed to effectively reduce the datasets to usable diagnostic features (30 ), and progress has been made toward populating integrative clinical databases for identification of biomarkers with ion mobility spectrometry (31 ). Although IMS has not yet been routinely employed in clinical settings, even for rapid screening applications, simple yet highly sensitive IMS instruments have been implemented for quantification of ammonia in exhaled breath (32 ), as well as several other VOCs such as acetone, butanone, and pentanone with handheld units (33 ). Several standalone systems with breath analysis potential have been commercialized, including Owlstone's Lonestar FAIMS system (34 ) and Environics's ChemPro 100i handheld aspiration ion mobility (AIMS) system (33 ).…”

Section: Applications In Analysis Of Vocs Rapid Disease Diagnosis By mentioning

confidence: 99%

Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives

et al. 2016

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BACKGROUND Ion mobility spectrometry (IMS) is a rapid separation tool that can be coupled with several sampling/ionization methods, other separation techniques (e.g., chromatography), and various detectors (e.g., mass spectrometry). This technique has become increasingly used in the last 2 decades for applications ranging from illicit drug and chemical warfare agent detection to structural characterization of biological macromolecules such as proteins. Because of its rapid speed of analysis, IMS has recently been investigated for its potential use in clinical laboratories. CONTENT This review article first provides a brief introduction to ion mobility operating principles and instrumentation. Several current applications will then be detailed, including investigation of rapid ambient sampling from exhaled breath and other volatile compounds and mass spectrometric imaging for localization of target compounds. Additionally, current ion mobility research in relevant fields (i.e., metabolomics) will be discussed as it pertains to potential future application in clinical settings. SUMMARY This review article provides the authors' perspective on the future of ion mobility implementation in the clinical setting, with a focus on ambient sampling methods that allow IMS to be used as a “bedside” standalone technique for rapid disease screening and methods for improving the analysis of complex biological samples such as blood plasma and urine.

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Section: Applications In Analysis Of Vocs Rapid Disease Diagnosis By mentioning

confidence: 99%

Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives

et al. 2016

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“…Jazan et al. [ 30 ] measured exhaled NH 3 by using a corona discharge (CD) IMS for normal subjects and patients with renal failure. The linear dynamic range was 0.70–47.56 μmol/L for standard NH 3 samples with a limit of detection (LOD) of 0.39 μmol/L.…”

Section: Introductionmentioning

confidence: 99%

Breath-by-breath measurement of exhaled ammonia by acetone-modifier positive photoionization ion mobility spectrometry via online dilution and purging sampling

Wang

Jiang

Liu

et al. 2023

Journal of Pharmaceutical Analysis

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“…In recent years, there have been studied several gas sensors with different working principles, such as electro-chemical sensors [6], metal oxide semiconductor sensors [7,8], ratio metric fluorescence sensors [9], fiber optic sensors [10,11], and Quartz Crystal Microbalance (QCM) [12,13]. Compared with other gas sensors, QCM sensors are simple, cheap, small, and high sensitive to the weight of molecules.…”

Section: Introductionmentioning

confidence: 99%

Quartz crystal microbalance based electronic nose system implemented on Field Programmable Gate Array

2019

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Nowadays, an electronic nose becomes an important tool for detecting gas. The electronic nose consists of gas sensor array combined with neural networks to recognize patterns of the sensor array. Currently, the implementation of the neural network on the electronic nose systems still use personal computer so that less flexible or not portable. This paper discusses the electronic nose system implemented in a Field Programmable Gate Array (FPGA). The sensor array consists of eight Quartz Crystal Microbalance (QCM) coated with chemical materials. The eight channel-frequency counter is used to measure the frequency change of the sensor due to the presence of gas adsorbed to the surfaces. The bipolar sigmoid activation function used in the neuron model is approximated by a second order equation. The experimental result showed that the electronic nose system could recognize all the types of gas with 92% success rate.

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Direct analysis of human breath ammonia using corona discharge ion mobility spectrometry

Cited by 18 publications

References 27 publications

Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives

Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives

Breath-by-breath measurement of exhaled ammonia by acetone-modifier positive photoionization ion mobility spectrometry via online dilution and purging sampling

Quartz crystal microbalance based electronic nose system implemented on Field Programmable Gate Array

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