Kuan Geng
ABSTRACT
This paper proposed an electronic nose system that utilized a SnO2 semiconductor sensor array to detect volatile ammonia gas in farmland. All sensors were controlled by the Arduino development board. The system could collect data during both the steady-state and transient phases of sensor operation. The collected data was analyzed using PCA (principal component analysis) and MLP (Multi-layer perceptron) neural networks. The experiment was divided into two parts: The first part analyzed four concentrations of ammonia (100ppm, 200ppm, 400ppm, and Air) using PCA and MLP, which successfully distinguished the concentrations with an identification rate of over 95%. In the second part, four gases (air mixed with ammonia, pure ammonia gas, air mixed with ethanol, and pure ethanol) were analyzed using PCA and MLP, with the electronic nose system successfully distinguishing between the four types of gases. The system could read and process data during the transient phase of the sensor, and the constructed sensor array electronic nose system and acquisition method has significant potential for ammonia detection in agricultural environments.
- R. B. Swotinsky and K. H. Chase, "Health effects of exposure to ammonia: scant information," Am J Ind Med, vol. 17, no. 4, pp. 515-21, 1990, doi: 10.1002/ajim.4700170409.Google Scholar
Cross Ref
- R. E. de la Hoz, D. P. Schlueter, and W. N. Rom, "Chronic lung disease secondary to ammonia inhalation injury: a report on three cases," Am J Ind Med, vol. 29, no. 2, pp. 209-14, Feb 1996, doi: 10.1002/(SICI)1097-0274(199602)29:2<209::AID-AJIM12>3.0.CO;2-7.Google ScholarCross Ref
- X. Wang , "Ammonia exposure causes lung injuries and disturbs pulmonary circadian clock gene network in a pig study," Ecotoxicol Environ Saf, vol. 205, p. 111050, Dec 1 2020, doi: 10.1016/j.ecoenv.2020.111050.Google ScholarCross Ref
- L. Cheng, Z. Ye, S. Cheng, and X. Guo, "Agricultural ammonia emissions and its impact on PM(2.5) concentrations in the Beijing-Tianjin-Hebei region from 2000 to 2018," Environ Pollut, vol. 291, p. 118162, Dec 15 2021, doi: 10.1016/j.envpol.2021.118162.Google ScholarCross Ref
- M. A. Sutton, J. W. Erisman, F. Dentener, and D. Moller, "Ammonia in the environment: from ancient times to the present," Environ Pollut, vol. 156, no. 3, pp. 583-604, Dec 2008, doi: 10.1016/j.envpol.2008.03.013.Google ScholarCross Ref
- S. M. McGinn and H. H. Janzen, "Ammonia sources in agriculture and their measurement," Canadian Journal of Soil Science, vol. 78, no. 1, pp. 139-148, 1998, doi: 10.4141/s96-059.Google ScholarCross Ref
- M. Insausti, R. Timmis, R. Kinnersley, and M. C. Rufino, "Advances in sensing ammonia from agricultural sources," Sci Total Environ, vol. 706, p. 135124, Mar 1 2020, doi: 10.1016/j.scitotenv.2019.135124.Google ScholarCross Ref
- D. Li, X. Xu, Z. Li, T. Wang, and C. Wang, "Detection methods of ammonia nitrogen in water: A review," TrAC Trends in Analytical Chemistry, vol. 127, 2020, doi: 10.1016/j.trac.2020.115890.Google ScholarCross Ref
- J. Hu, L. Zhang, and Y. Lv, "Recent advances in cataluminescence gas sensor: Materials and methodologies," Applied Spectroscopy Reviews, vol. 54, no. 4, pp. 306-324, 2018, doi: 10.1080/05704928.2018.1464932.Google ScholarCross Ref
- M. B. Pushkarsky, M. E. Webber, and C. K. N. Patel, "Ultra-sensitive ambient ammonia detection using CO2-laser-based photoacoustic spectroscopy," Applied Physics B, vol. 77, no. 4, pp. 381-385, 2003, doi: 10.1007/s00340-003-1266-8.Google ScholarCross Ref
- Y. Zhang and L.-T. Lim, "Colorimetric array indicator for NH3 and CO2 detection," Sensors and Actuators B: Chemical, vol. 255, pp. 3216-3226, 2018, doi: 10.1016/j.snb.2017.09.148.Google ScholarCross Ref
- A. J. Moshayedi, M. Kukade, and D. C. Gharpure, "Electronic-nose (E-nose) for recognition of Cardamom, Nutmeg and Clove oil odor," 2014.Google Scholar
- A. Solórzano , "Early fire detection based on gas sensor arrays: Multivariate calibration and validation," Sensors and Actuators B: Chemical, vol. 352, p. 130961, 2022/02/01/ 2022, doi: https://doi.org/10.1016/j.snb.2021.130961.Google ScholarCross Ref
- A. Miquel-Ibarz, J. Burgués, and S. Marco, "Global calibration models for temperature-modulated metal oxide gas sensors: A strategy to reduce calibration costs," Sensors and Actuators B: Chemical, vol. 350, p. 130769, 2022/01/01/ 2022, doi: https://doi.org/10.1016/j.snb.2021.130769.Google ScholarCross Ref
- A. J. Moshayedi, E. Kazemi, M. Tabatabaei, and L. Liao, "Brief modeling equation for metal-oxide; TGS type gas sensors," Filomat, vol. 34, pp. 4997-5008, 2020.Google ScholarCross Ref
- Q. Zheng, D. Zhao, J. Deng, X. Xu, and Z. Ou, "Front-end Electronics Design for Micro-Pattern Gas Detectors Based on VA140," in 2021 5th International Conference on Vision, Image and Signal Processing (ICVISP), 18-20 Dec. 2021 2021, pp. 167-170, doi: 10.1109/ICVISP54630.2021.00038.Google ScholarCross Ref
- W. Wang , "SnO2 nanoparticles-modified 3D-multilayer MoS2 nanosheets for ammonia gas sensing at room temperature," Sensors and Actuators B: Chemical, vol. 321, 2020, doi: 10.1016/j.snb.2020.128471.Google ScholarCross Ref
- R. Gutierrez-Osuna, A. Gutierrez-Galvez, and N. Powar, "Transient response analysis for temperature-modulated chemoresistors," Sensors and Actuators B: Chemical, vol. 93, no. 1-3, pp. 57-66, 2003/08/01/ 2003, doi: 10.1016/s0925-4005(03)00248-x.Google ScholarCross Ref
- A. J. Moshayedi, A. Toudeshki, and D. C. Gharpure, "Mathematical modeling for SnO2 gas sensor based on second-order response," 2013 IEEE Symposium on Industrial Electronics & Applications, pp. 33-38, 2013.Google Scholar
- M. P. Gherman, Y. Cheng, A. Gomez, and O. Saukh, "Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning," in 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 6-9 July 2021 2021, pp. 1-9, doi: 10.1109/SECON52354.2021.9491586.Google ScholarDigital Library
- A. J. Moshayedi and D. Gharpure, "Implementing Breath to Improve Response of Gas Sensors for Leak Detection in Plume Tracker Robots," in Proceedings of the Third International Conference on Soft Computing for Problem Solving, New Delhi, M. Pant, K. Deep, A. Nagar, and J. C. Bansal, Eds., 2014// 2014: Springer India, pp. 337-348.Google Scholar
- F. Kherif and A. Latypova, "Chapter 12 - Principal component analysis," in Machine Learning, A. Mechelli and S. Vieira Eds.: Academic Press, 2020, pp. 209-225.Google Scholar
Index Terms
- ENOSE Performance in Transient Time and Steady State Area of Gas Sensor Response for Ammonia Gas: Comparison and Study
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