利用选择离子流管质谱法验证测量呼气氨的传感器系统。

IF 3.7 4区 医学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of breath research Pub Date : 2024-11-04 DOI:10.1088/1752-7163/ad8e7d
Michal Wagner, Saliha Saad, Anthony J Killard
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引用次数: 0

摘要

痕量呼出气体测量因其可提供健康和疾病方面的非侵入性生理信息而日益受到关注。虽然选择离子流管质谱法(SIFT-MS)等仪器技术可以实现这一目标,但这些技术不太适合临床应用。基于灵敏传感器的呼气氨检测系统可以得到更广泛的应用,但开发难度很大。这项研究展示了使用 SIFT-MS 测量呼气中氨的电化学阻抗传感器系统的连续分析验证。两种方法的定性和相对反应相当,但绝对浓度存在一致的差异。在人工呼气氨测试中,传感器的相对阻抗灵敏度为 3.43x10-5ppbv-1,每次呼气的氨浓度范围为 249-1,653 ppbv(r2=0.87,pn=14),氨的检测浓度范围为 100-700 ppbv(r=0.78,pn=14)。
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Validation of a sensor system for the measurement of breath ammonia using selected-ion flow-tube mass spectrometry.

The measurement of trace breath gases is of growing interest for its potential to provide non-invasive physiological information in health and disease. While instrumental techniques such as selected-ion flow-tube mass spectrometry (SIFT-MS) can achieve this, these are less suitable for clinical application. Sensitive sensor-based systems for breath ammonia could be more widely deployed, but have proven challenging to develop. This work demonstrates the sequential analytical validation of an electrochemical impedance-based sensor system for the measurement of ammonia in breath using SIFT-MS. Qualitative and relative responses between the two methods were comparable, although there were consistent differences in absolute concentration. When tested in artificial breath ammonia, sensors had a relative impedance sensitivity of 3.43x10-5ppbv-1for each breath in the range of 249 to 1,653 ppbv (r2=0.87,p<0.05). When correlated with SIFT-MS using human breath (n=14), ammonia was detected in the range of 100 to 700 ppbv (r=0.78,p<0.001), demonstrating acceptable sensitivity, reproducibility and dynamic range for clinical application.

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来源期刊
Journal of breath research
Journal of breath research BIOCHEMICAL RESEARCH METHODS-RESPIRATORY SYSTEM
CiteScore
7.60
自引率
21.10%
发文量
49
审稿时长
>12 weeks
期刊介绍: Journal of Breath Research is dedicated to all aspects of scientific breath research. The traditional focus is on analysis of volatile compounds and aerosols in exhaled breath for the investigation of exogenous exposures, metabolism, toxicology, health status and the diagnosis of disease and breath odours. The journal also welcomes other breath-related topics. Typical areas of interest include: Big laboratory instrumentation: describing new state-of-the-art analytical instrumentation capable of performing high-resolution discovery and targeted breath research; exploiting complex technologies drawn from other areas of biochemistry and genetics for breath research. Engineering solutions: developing new breath sampling technologies for condensate and aerosols, for chemical and optical sensors, for extraction and sample preparation methods, for automation and standardization, and for multiplex analyses to preserve the breath matrix and facilitating analytical throughput. Measure exhaled constituents (e.g. CO2, acetone, isoprene) as markers of human presence or mitigate such contaminants in enclosed environments. Human and animal in vivo studies: decoding the ''breath exposome'', implementing exposure and intervention studies, performing cross-sectional and case-control research, assaying immune and inflammatory response, and testing mammalian host response to infections and exogenous exposures to develop information directly applicable to systems biology. Studying inhalation toxicology; inhaled breath as a source of internal dose; resultant blood, breath and urinary biomarkers linked to inhalation pathway. Cellular and molecular level in vitro studies. Clinical, pharmacological and forensic applications. Mathematical, statistical and graphical data interpretation.
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Therapeutic efficacy of a probiotic preparation on idiopathic halitosis: a retrospective observational study. Halitosis in oral lichen planus patients. Effectiveness of a combination of laccase and green coffee extract on oral malodor: A comparative, randomized, controlled, evaluator-blind, parallel-group trial. Validation of a sensor system for the measurement of breath ammonia using selected-ion flow-tube mass spectrometry. Identifying viral infections through analysis of head space volatile organic compounds.
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