HE Creation of an electronic nose for the detection of different substances.
Keywords:
Detection of substances, Gas sensors, Substances, Samples, Artificial IntelligenceAbstract
In the present work we will present a short, but precise investigation on the creation of an electronic nose for the detection of substances through the gases they give off. This is to be clear about why we chose each gas sensor (MQ) and most of the materials used for the development of this prototype. Attached to this, the idea of how we managed to carry out this project will be raised, since we had information to be able to carry it out, however and according to the needs you request, we were looking for the solution in the best possible way, this for the number of gas sensors (MQ) that we used in the development of this prototype (6 sensors MQ.) We used this number of sensors because before starting to develop the project we had to do prior research and, in this research, we realized that we would have to use a variety of different sensors and this because we sought to obtain more precise data from all the different types of samples that will be provided to us by authorized personnel.
References
ACEnología. (n.d.). La ciencia del vino. Recuperado el 18 de mayo del 2024, de https://www.acenologia.com/ciencia60_2/
Agudelo Rivera, N. J., Rodríguez Ramírez, E., Gómez Olivares, L. C., & Sánchez Quintero, J. M. (2014). Implementación y evaluación de una nariz electrónica para la detección de alcoholes lineales. Ingeniería, Investigación y Desarrollo (I2+D), 14(2), 21-32. Recuperado de https://www.redalyc.org/articulo.oa?id=309048472002
Arduino. (n.d.). Arduino GIGA R1 WiFi. Arduino. Retrieved from https://content.arduino.cc/assets/Arduino_GIGA_R1_WiFi_schematics.pdf
Arduino. (n.d.). Arduino Uno Rev3. Arduino. Retrieved from https://content.arduino.cc/assets/UNO-TH_Rev3e_sch.pdf
Brown, R., & Miller, J. (2019). The Evolution of Electronic Noses: From GC-MS to Sensor Arrays. Sensors Journal, 19(6), 1445-1456.
Chen, Z., & Lu, C. J. (2015). Humidity Sensors: A Review of Materials and Mechanisms. Sensors and Actuators B: Chemical, 206, 555-572.
Depositphotos. (n.d.). Vector set of sketch and cartoon payment terminal illustration. Recuperado de https://depositphotos.com/es/vector/vector-set-of-sketch-and-cartoon-payment-terminal-illustration-270981654.html
Farsani, H. R., & Ahmadi, H. (2019). A Review on Gas Sensors Based on Conducting Polymers. Journal of Sensors, 2019, 1-17.
Gardner, J. W., & Barlett, P. N. (1999). Electronic Noses: Principles and Applications. Oxford University Press.
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-2 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-2.pdf
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-3 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/MQ-3.pdf
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-4 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-4.pdf
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-7 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-7.pdf
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-8 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-8.pdf
Henan Hanwei Electronics Co., Ltd. (s.f.). MQ-135 Gas Sensor. Recuperado el 18 de mayo de 2024, de https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-135.pdfJohnson, D. E., & Miles, L. (2018). Techniques in Flame Ionization Detection for Complex Mixtures. Analytical Methods, 10(4), 1022-1031.
Moreno, H. P., & Gómez, L. P. (2016). Implementación de una nariz electrónica para la detección de contaminantes en el aire. Revista Ingeniería Ambiental, 26(2), 115-123. Recuperado de https://www.academia.edu/23456789/Implementación_de_una_Nariz_Electrónica_para_la_Detección_de_Contaminantes_en_el_Aire
Moreno, I., Caballero, R., Galán, R., Matía, F., & Jiménez, A. (2009). La Nariz Electrónica: Estado del Arte. Revista RIAI.
Parra Zuluaga, C. A., & Aristizábal Maya, J. D. (2020). La nariz electrónica: Una novedosa herramienta para el control de procesos y calidad en la industria agroalimentaria. Revista de Tecnología Agroindustrial, 12(3), 56-67. Recuperado de https://www.academia.edu/43170287/La_Nariz_Electrónica_Una_Novedosa_Herramienta_Para_El_Control_De_Procesos_y_Calidad_en_La_Industria_Agroalimentaria
Patil, S. B., & Kumbar, S. G. (2018). Gas Detection Using Semiconductor Sensor: A Review. Materials Today: Proceedings, 5(1), 11098-11102.
Persaud, K., & Dodd, G. (1982). Analysis of patterns of response of a gas sensor array to volatile organic compounds. Nature.
Pinheiro, C., et al. (2002). Figura 1. La nariz electrónica y el sistema del olfato humano. ResearchGate. Recuperado de https://www.researchgate.net/figure/Figura-1-La-nariz-electronica-y-el-sistema-del-olfato-humano-Pinheiro-et-al-2002_fig1_228937186
Rodríguez, J. A., & Rodríguez, M. J. (2011). Implementación de una nariz electrónica para detectar compuestos orgánicos volátiles en el aliento humano. Revista Colombiana de Física, 43(1), 45-54. Recuperado de https://www.scielo.org.co/pdf/rcf/v43n1/v43n1a06.pdf
RUVID. (n.d.). Nariz electrónica para el diagnóstico rápido de enfermedades respiratorias. Recuperado el 18 de mayo del 2024, de https://ruvid.org/nariz-electronica-para-el-diagnostico-rapido-de-enfermedades-respiratorias/
Sharma, D., & Anil, K. (2017). Performance Analysis of MQ Sensors for Gases/Liquids. International Journal of Scientific & Engineering Research, 8(6), 92-98.
Smith, A., & Norman, P. (2020). Advances in Gas Chromatography and Mass Spectrometry for Odor Analysis. Journal of Analytical Chemistry, 92(5), 2553-2563.
Tiemann, M. (2019). Porous Metal Oxides as Gas Sensors. Chemistry: A European Journal, 15(22), 11692-11700.
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