Towards predictive system-level modelling of miniaturized photoacoustic gas sensors

Essing, Simon; Schrag, G.; Tumpold, David; Glacer, Christoph; Mihotek, Michael; Kravchenko, Andrey

doi:10.1109/eurosime54907.2022.9758881

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Non-resonant miniaturized photoacoustic gas sensors (PAS) comprise a light source that often consists of a MEMS infrared emitter and an optical filter, a pressure chamber and a MEMS microphone [1]. Infrared Radiation is emitted and filtered in a way that the photons entering the pressure chamber match the wavelength needed to excite the gas molecules of interest.…”

Section: Background and State Of The Artmentioning

confidence: 99%

“…One major goal in sensor development is hence to provide maximum sensitivity to CO2 while, at the same time, preserving robustness against changing environmental conditions such as humidity. A common signal analysis approach in this respect is to bandpass the microphone signal at the excitation frequency and calculate the root mean square (RMS) for every acoustical pulse, which is a measure for the gas concentration inside the pressure chamber and hence, the sensor's sensitivity [1,4]. Our approach addresses the increase of this sensitivity w.r.t to the state of the art.…”

Section: Background and State Of The Artmentioning

confidence: 99%

See 1 more Smart Citation

C3.4 - Everything at once—Linearizing System Response and Enhancing Sensitivity in Photoacoustic Gas Sensors by Demodulation and Filter Tuning

Essing¹,

Schrag²,

Tumpold³

et al. 2023

Lectures

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We present a sophisticated method to improve the sensitivity of CO2-detecting non-resonant MEMSbased photoacoustic gas spectroscopy systems by more than 50 % compared to state-of-the-art approaches. The method based on signal demodulation can also be used to linearize the measured system's response in order to reduce the calibration effort for future sensors. Tuning the filter transmission spectra accordingly is utilized to further increase the linearity of the system response and enhancing the sensitivity by more than 200 %.

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Section: Background and State Of The Artmentioning

confidence: 99%

Section: Background and State Of The Artmentioning

confidence: 99%

C3.4 - Everything at once—Linearizing System Response and Enhancing Sensitivity in Photoacoustic Gas Sensors by Demodulation and Filter Tuning

Essing¹,

Schrag²,

Tumpold³

et al. 2023

Lectures

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show abstract

“…A study by [58] reported that the photoacoustic method can detect ammonia concentrations in the range of 0.1 to 20 ppm in laboratory conditions, with high sensitivity and accuracy. Furthermore, a study by [59] found that the photo-acoustic method could detect ammonia in less than 5 s with a detection limit of 2 ppm. These findings suggest that photoacoustic spectroscopy can be an effective and efficient technique for the detection of ammonia in various environments.…”

mentioning

confidence: 99%

E-Nose-Driven Advancements in Ammonia Gas Detection: A Comprehensive Review from Traditional to Cutting-Edge Systems in Indoor to Outdoor Agriculture

Moshayedi

Khan

et al. 2023

Sustainability

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Ammonia (NH3) represents a perilous gas that poses a substantial hazard to both human well-being and the environment, particularly within agricultural regions. Agricultural activities constitute a primary source of ammonia emissions. Thus, effective monitoring and measurement of ammonia sources in agriculture are imperative for mitigating its adverse impact. However, not all existing ammonia detection methods are suitable for discerning the low concentrations typically encountered in agricultural ammonia volatilizing (ranging from 0.01 to 5 parts per million). Consequently, curtailing ammonia volatilization from farmland assumes paramount importance, with real-time monitoring serving as a crucial mechanism for assessing environmental contamination and minimizing agricultural ammonia losses. Deploying appropriate detection methodologies ensures that requisite measures are taken to safeguard human health and the environment from the deleterious repercussions of ammonia exposure. The present paper introduces a comprehensive approach to detecting and analyzing ammonia in agricultural settings. It elucidates the merits and demerits of conventional indoor and outdoor ammonia detection methods, juxtaposing them with the innovative technology of Electronic nose (E-nose). Within the paper, seven widely employed ammonia detection methods in farmland are scrutinized and compared against traditional techniques. Additionally, the constructional aspects and distinct components of E-nose are meticulously delineated and appraised. Ultimately, the paper culminates in a comprehensive comparative analysis encompassing all the aforementioned methodologies, elucidating the potential and limitations of E-nose in facilitating ammonia detection endeavors within agricultural contexts.

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Predictive Modelling of Emitter Systems in Photoacoustic Gas Sensing

Essing,

Mittereder,

Tumpold

et al. 2023

2023 Symposium on Design, Test, Integration &Amp; Packaging of MEMS/MOEMS (DTIP)

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Towards predictive system-level modelling of miniaturized photoacoustic gas sensors

Cited by 6 publications

References 7 publications

C3.4 - Everything at once—Linearizing System Response and Enhancing Sensitivity in Photoacoustic Gas Sensors by Demodulation and Filter Tuning

C3.4 - Everything at once—Linearizing System Response and Enhancing Sensitivity in Photoacoustic Gas Sensors by Demodulation and Filter Tuning

E-Nose-Driven Advancements in Ammonia Gas Detection: A Comprehensive Review from Traditional to Cutting-Edge Systems in Indoor to Outdoor Agriculture

Predictive Modelling of Emitter Systems in Photoacoustic Gas Sensing

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