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通过检测低至十亿分之一的呼气丙酮来监测脂肪分解。

Monitoring Lipolysis by Sensing Breath Acetone down to Parts-per-Billion.

作者信息

Weber Ines C, Derron Nina, Königstein Karsten, Gerber Philipp A, Güntner Andreas T, Pratsinis Sotiris E

机构信息

Particle Technology Laboratory Department of Mechanical and Process Engineering ETH Zurich CH-8092 Zurich Switzerland.

Department of Endocrinology, Diabetology, and Clinical Nutrition University Hospital Zurich (USZ) and University of Zurich (UZH) CH-8091 Zurich Switzerland.

出版信息

Small Sci. 2021 Mar 12;1(4):2100004. doi: 10.1002/smsc.202100004. eCollection 2021 Apr.

DOI:10.1002/smsc.202100004
PMID:40213359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11935798/
Abstract

Mobile health technologies can provide information routinely and on demand to manage metabolic diseases (e.g., diabetes and obesity) and optimize their treatment (e.g., exercise or dieting). Most promising is breath acetone monitoring to track lipolysis and complement standard glucose monitoring. Yet, accurate quantification of acetone down to parts-per-billion (ppb) is difficult with compact and mobile devices in the presence of interferants at comparable or higher concentrations. Herein, a low-cost detector that quantifies end-tidal acetone during exercise and rest is presented with excellent bias (25 ppb) and unprecedented precision (169 ppb) in 146 breath samples. It combines a flame-made Pt/AlO catalyst with a chemoresistive Si/WO sensor. The detector is robust against orders of magnitude higher ethanol concentrations from disinfection and exercise-driven endogenous breath isoprene ones, as validated by mass spectrometry. This detector accurately tracks the individual lipolysis dynamics in all volunteers, as confirmed by blood ketone measurements. It can be integrated readily into handheld devices for personalized metabolic assessment at home, in gyms, and clinics.

摘要

移动健康技术可以定期并按需提供信息,以管理代谢性疾病(如糖尿病和肥胖症)并优化其治疗(如运动或节食)。最有前景的是通过监测呼出气中的丙酮来追踪脂肪分解情况,并补充标准的血糖监测。然而,在存在浓度相当或更高的干扰物的情况下,使用紧凑的移动设备将丙酮精确量化至十亿分之一(ppb)是很困难的。在此,我们展示了一种低成本的检测器,它能够在运动和休息期间对呼出气末丙酮进行量化,在146个呼吸样本中具有出色的偏差(25 ppb)和前所未有的精度(169 ppb)。它将火焰制造的Pt/AlO催化剂与化学电阻式Si/WO传感器相结合。经质谱验证,该检测器对来自消毒的高几个数量级的乙醇浓度以及运动驱动的内源性呼出气异戊二烯具有很强的抗性。通过血酮测量证实,该检测器能够准确追踪所有志愿者的个体脂肪分解动态。它可以很容易地集成到手持设备中,用于在家中、健身房和诊所进行个性化的代谢评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/86e53abd79d6/SMSC-1-2100004-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/5c3ba9422331/SMSC-1-2100004-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/3d12d60cc44d/SMSC-1-2100004-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/9fed87f6a255/SMSC-1-2100004-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/788d1d14d3ff/SMSC-1-2100004-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/0fc920a3bada/SMSC-1-2100004-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/86e53abd79d6/SMSC-1-2100004-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/5c3ba9422331/SMSC-1-2100004-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/3d12d60cc44d/SMSC-1-2100004-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/9fed87f6a255/SMSC-1-2100004-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/788d1d14d3ff/SMSC-1-2100004-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/0fc920a3bada/SMSC-1-2100004-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c130/11935798/86e53abd79d6/SMSC-1-2100004-g001.jpg

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