The Most Common Methods for Breath Acetone Concentration Detection: A Review

Obeidat, Yusra

doi:10.1109/jsen.2021.3074610

Cited by 41 publications

(27 citation statements)

References 222 publications

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“…Spectrometry-based techniques constitute the standard exhaled breath analysis methods, and most breath biomarkers to date have been identified using them, owing to their reliability, high sensitivity, and low detection limit [ 12 , 85 ]. Gas chromatography (GC) is the gold standard for VOC identification, but its operation demands expertise and is bulky and expensive [ 9 ].…”

Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

“…Similarly, other spectrometry-based techniques also have associated disadvantages. Ion Mobility Spectroscopy (GC-IMS) is inapt for unknown compound identification [ 12 ]. Proton Transfer Reaction Mass Spectrometry (PTR-MS) and Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) lack specificity, require a skilled operator, and are unsuitable for molecules with low proton affinity [ 12 ].…”

Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

“…Ion Mobility Spectroscopy (GC-IMS) is inapt for unknown compound identification [ 12 ]. Proton Transfer Reaction Mass Spectrometry (PTR-MS) and Selected Ion Flow Tube Mass Spectrometry (SIFT-MS) lack specificity, require a skilled operator, and are unsuitable for molecules with low proton affinity [ 12 ]. Though spectrometry-based techniques are apt for offline analysis in hospitals or diagnostic clinics, the above-listed drawbacks have led to research on alternate sensing methods to develop a portable, compact, and user-friendly diabetes management system.…”

Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

“…The analysis of exhaled VOCs has drawn significant attention in recent decades in healthcare. Researchers have previously discussed the clinical potential of the exhaled VOC profile and have reviewed commercialized breath analyzers, and fabrication and detection methodologies, addressing the limitations of breath analysis [ 7 , 9 , 10 , 11 , 12 ]. Breath analysis can be broadly categorized as targeted or untargeted.…”

Section: Introductionmentioning

confidence: 99%

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Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

et al. 2021

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With the global population prevalence of diabetes surpassing 463 million cases in 2019 and diabetes leading to millions of deaths each year, there is a critical need for feasible, rapid, and non-invasive methodologies for continuous blood glucose monitoring in contrast to the current procedures that are either invasive, complicated, or expensive. Breath analysis is a viable methodology for non-invasive diabetes management owing to its potential for multiple disease diagnoses, the nominal requirement of sample processing, and immense sample accessibility; however, the development of functional commercial sensors is challenging due to the low concentration of volatile organic compounds (VOCs) present in exhaled breath and the confounding factors influencing the exhaled breath profile. Given the complexity of the topic and the skyrocketing spread of diabetes, a multifarious review of exhaled breath analysis for diabetes monitoring is essential to track the technological progress in the field and comprehend the obstacles in developing a breath analysis-based diabetes management system. In this review, we consolidate the relevance of exhaled breath analysis through a critical assessment of current technologies and recent advancements in sensing methods to address the shortcomings associated with blood glucose monitoring. We provide a detailed assessment of the intricacies involved in the development of non-invasive diabetes monitoring devices. In addition, we spotlight the need to consider breath biomarker clusters as opposed to standalone biomarkers for the clinical applicability of exhaled breath monitoring. We present potential VOC clusters suitable for diabetes management and highlight the recent buildout of breath sensing methodologies, focusing on novel sensing materials and transduction mechanisms. Finally, we portray a multifaceted comparison of exhaled breath analysis for diabetes monitoring and highlight remaining challenges on the path to realizing breath analysis as a non-invasive healthcare approach.

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Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

Section: Sensing Methodologies For Breath Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

et al. 2021

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“…Although research to develop a very-high-sensitivity sensor to function as a biomarker of a disease is being actively conducted, the effective high-sensitivity acetone detection sensor proposed in modern study is bulky and has several significant technical problems, such as limited operation at high temperatures. Therefore, there is a need for a sensor that can detect acetone with high sensitivity at room temperature and at a low cost [ 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Functional Microfiber Nonwoven Fabric with Copper Ion-Immobilized Polymer Brush for Detection and Adsorption of Acetone Gas

Kim

Uezu

2021

Sensors

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The detection and removal of volatile organic compounds (VOCs) are emerging as an important problem in modern society. In this study, we attempted to develop a new material capable of detecting or adsorbing VOCs by introducing a new functional group and immobilizing metal ions into a microfiber nonwoven fabric (MNWF) made through radiation-induced graft polymerization. The suitable metal complex was selected according to the data in “Cambridge Crystallographic Data Center (CCDC)”. 4-picolylamine (4-AMP), designated as a ligand through the metal complex data of CCDC, was introduced at an average mole conversion rate of 63%, and copper ions were immobilized at 0.51 mmol/g to the maximum. It was confirmed that degree of grafting (dg) 170% 4-AMP-Cu MNWF, where copper ions are immobilized, can adsorb up to 50% of acetone gas at about 50 ppm, 0.04 mmol/g- 4-AMP-Cu-MNWF, at room temperature and at a ratio of copper ion to adsorbed acetone of 1:10.

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Monitoring Acetone with Photoacoustic Spectroscopy Using a Metal–Organic Framework

Huang,

Zhang,

et al. 2024

Advanced Optical Materials

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Herein, this study describes a sample preconcentration apparatus based on a metal–organic framework (MOF) of NH2‐UIO‐66@PDMS adsorbent, which is first coupled to photoacoustic spectroscopy (PAS) technology for detection of acetone. The MOF selectively traps acetone out of complex samples and releases it into the photoacoustic (PA) cell, where PA signal intensity is recorded by PAS sensing system based on a cheap amplitude modulated UV LED as light source. The signal intensity is enhanced by 11 times after preconcentration of NH2‐UIO‐66@PDMS (100 mg). The preconcentration apparatus not only enhances sensitivity of sensor, but also promotes the anti‐interference ability for common interferents (carbon dioxide, oxygen and water vapor, ethanol, propanol, etc.) of the sensor. As expected, the established PA sensor possesses a detection limit of 0.23 ppm for measuring acetone, which can feasibly be applied for the analysis of acetone in patients breath samples. This work provides a good example of the preconcentration effect of MOF for promoting PA sensor analytical performance, and the prospect of medical diagnosis.

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The Most Common Methods for Breath Acetone Concentration Detection: A Review

Cited by 41 publications

References 222 publications

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

Exhaled Breath Analysis for Diabetes Diagnosis and Monitoring: Relevance, Challenges and Possibilities

Functional Microfiber Nonwoven Fabric with Copper Ion-Immobilized Polymer Brush for Detection and Adsorption of Acetone Gas

Monitoring Acetone with Photoacoustic Spectroscopy Using a Metal–Organic Framework

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