First clinical evaluation of a quartz enhanced photo-acoustic CO sensor for human breath analysis

Maurin, Nicolas; Rousseau, Roman; Trzpil, Wioletta; Aoust, Guillaume; Hayot, Maurice; Mercier, Jacques; Bahriz, M.; Gouzi, Farès; Vicet, A.

doi:10.1016/j.snb.2020.128247

Cited by 37 publications

(15 citation statements)

References 43 publications

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“…Despite the large potential of QEPAS sensors, their reliability in real-life applications have barely been addressed in the literature [ 14 , 30 , 31 , 32 ]. Most experimental demonstrations have been conducted in a laboratory environment using a single gas in an N

matrix.…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Spectral Resolution Limitations of QEPAS Sensors for Fast and Broad Wavelength Tuning

Christensen¹,

Høgstedt²,

Friis³

et al. 2020

Sensors

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Quartz-enhanced photoacoustic sensing is a promising method for low-concentration trace-gas monitoring due to the resonant signal enhancement provided by a high-Q quartz tuning fork. However, quartz-enhanced photoacoustic spectroscopy (QEPAS) is associated with a relatively slow acoustic decay, which results in a reduced spectral resolution and signal-to-noise ratio as the wavelength tuning rate is increased. In this work, we investigate the influence of wavelength scan rate on the spectral resolution and signal-to-noise ratio of QEPAS sensors. We demonstrate the acquisition of photoacoustic spectra from 3.1 μm to 3.6 μm using a tunable mid-infrared optical parametric oscillator. The spectra are attained using wavelength scan rates differing by more than two orders of magnitude (from 0.3 nm s−1 to 96 nm s−1). With this variation in scan rate, the spectral resolution is found to change from 2.5 cm−1 to 9 cm−1. The investigated gas samples are methane (in nitrogen) and a gas mixture consisting of methane, water, and ethanol. For the gas mixture, the reduced spectral resolution at fast scan rates significantly complicates the quantification of constituent gas concentrations.

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matrix.…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Spectral Resolution Limitations of QEPAS Sensors for Fast and Broad Wavelength Tuning

Christensen¹,

Høgstedt²,

Friis³

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The market for gas sensors was estimated to be 2.23 billion USD in 2020 and is expected to reach 4.49 billion USD in 2028 [ 1 ]. The growing interest in gas sensors is driven by various field of applications, e.g., medicine [ 2 ], air quality [ 3 ], food processing [ 4 ], or security and defense [ 5 ], that address legislative (e.g., EU’s air quality directives), National Ambient Air Quality Standards) and/or individual needs. Sensors commonly used in the market, according to the highest percentage contribution into the gas sensor market income, are electrochemical, semiconductor, and infrared sensors [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Analytic Optimization of Cantilevers for Photoacoustic Gas Sensor with Capacitive Transduction

Trzpil

Maurin

Rousseau

et al. 2021

Sensors

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We propose a new concept of photoacoustic gas sensing based on capacitive transduction which allows full integration while conserving the required characteristics of the sensor. For the sensor’s performance optimization, trial and error method is not feasible due to economic and time constrains. Therefore, we focus on a theoretical optimization of the sensor reinforced by computational methods implemented in a Python programming environment. We present an analytic model to optimize the geometry of a cantilever used as a capacitive transducer in photoacoustic spectroscopy. We describe all the physical parameters which have to be considered for this optimization (photoacoustic force, damping, mechanical susceptibility, capacitive transduction, etc.). These parameters are characterized by opposite trends. They are studied and compared to obtain geometric values for which the signal output and signal-to-noise ratio are maximized.

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“…However, patients are usually resistant to this method because it causes damage to skin tissues and is accompanied by an obvious stinging sensation, and there are unsafe factors that can easily cause infection. Therefore, the development of a noninvasive detection technique has become a hot spot in medical research, and breath analysis, as a new noninvasive detection technique, has been favored by many researchers [2][3][4][5][6][7][8]. Studies have shown that the human breath contains more than 1000 volatile organic compounds (VOCs) [9].…”

Section: Introductionmentioning

confidence: 99%

Acetone Sensor Based on FAIMS-MEMS

et al. 2021

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In this paper, to address the problems of large blood draws, long testing times, and the inability to achieve dynamic detection of invasive testing for diabetes, stemming from the principle that type 1 diabetic patients exhale significantly higher levels of acetone than normal people, a FAIMS-MEMS gas sensor was designed to detect acetone, which utilizes the characteristics of high sensitivity, fast response, and non-invasive operation. It is prepared by MEMS processes, such as photolithography, etching, and sputtering, its specific dimensions are 4000 μm in length, 3000 μm in width and 800 μm in height and the related test system was built to detect acetone gas. The test results show that when acetone below 0.8 ppm is introduced, the voltage value detected by the sensor basically does not change, while when acetone gas exceeds 1.8 ppm, the voltage value detected by the sensor increases significantly. The detection accuracy of the sensor prepared by this method is about 0.02 ppm/mV, and the voltage change can reach 1 V with a response time of 3 s and a recovery time of 4 s when tested under 20 ppm acetone environment; this has good repeatability and stability, and has great prospects in the field of non-invasive detection of type 1 diabetes.

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First clinical evaluation of a quartz enhanced photo-acoustic CO sensor for human breath analysis

Cited by 37 publications

References 43 publications

Intrinsic Spectral Resolution Limitations of QEPAS Sensors for Fast and Broad Wavelength Tuning

Intrinsic Spectral Resolution Limitations of QEPAS Sensors for Fast and Broad Wavelength Tuning

Analytic Optimization of Cantilevers for Photoacoustic Gas Sensor with Capacitive Transduction

Acetone Sensor Based on FAIMS-MEMS

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