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Advances and prospects of electronic nose in various applications | ||
| Biosystems Engineering and Renewable Energies | ||
| دوره 1، شماره 1، فروردین 2025، صفحه 82-88 اصل مقاله (405.85 K) | ||
| نوع مقاله: Review Papers | ||
| شناسه دیجیتال (DOI): 10.22069/bere.2025.23175.1015 | ||
| نویسندگان | ||
| Gader Balkipor* ؛ Yousef Abbaspour-Gilandeh | ||
| Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran | ||
| چکیده | ||
| The olfactory sense is a vital aspect of human perception, historically essential for detecting scents and engaging with our surroundings. Over time, electronic olfactory systems, commonly referred to as e-noses, have evolved dramatically, shifting from large, expensive, and power-hungry devices to smaller, affordable, and energy-efficient versions. These systems combine hardware and software elements, utilizing electronic sensors to identify and evaluate chemical substances in the air. Central to this technology are scent detectors that replicate the complex functions of the human nose. This groundbreaking tool is utilized across various sectors, such as food inspection, healthcare, environmental tracking, security, and more. Within the food sector, e-noses have become highly adaptable and essential instruments, supporting quality control, supply chain transparency, process improvement, and waste minimization. This study explores the latest developments and progress in e-nose technology, offering a detailed yet easy-to-understand overview of the field. E-nose technology has shown exceptional adaptability, becoming a key resource in the food industry. A major use is the precise evaluation of food freshness, which plays a significant role in minimizing waste and ensuring consumer health. By supplementing or replacing conventional methods—often slow and resource-intensive—e-noses provide a distinct ability to assess, categorize, and measure scents, offering a powerful solution for analyzing olfactory data. | ||
| کلیدواژهها | ||
| Sensor arrays؛ electronic noses؛ disease diagnosis؛ pattern recognition algorithms؛ cost-effective | ||
| مراجع | ||
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Abasiyanik, F., Munekata, P. E. S., Finardi, S., de Souza, C. K., Meinert, C., Pateiro, M., Hoffmann, T. G., et al. (2023). Applications of electronic nose, electronic eye and electronic tongue in quality, safety and shelf life of meat and meat products: A review. Sensors, 23, 672. Abdi, H. (2010). Partial least squares regression and projection on latent structure regression (PLS regression). Computational Statistics, 2(1), 97–106. Abideen, Z. U., Arifeen, W. U., & Bandara, Y. M. N. D. Y. (2024). Emerging trends in metal oxide-based electronic noses for healthcare applications: A review. Nanoscale, 16(19), 9259–9283. Baldini, C., Billeci, L., Sansone, F., Conte, R., Domenici, C., & Tonacci, A. (2020). Electronic nose as a novel method for diagnosing cancer: A systematic review. Biosensors, 10(8). Barsan, N., & Weimar, U. (2001). Conduction model of metal oxide gas sensors. Journal of Electroceramics, 7(3), 143–167. Belizário, J. E., Faintuch, J., & Malpartida, M. G. (2021). Breath biopsy and discovery of exclusive volatile organic compounds for diagnosis of infectious diseases. Frontiers in Cellular and Infection Microbiology, 10, 564194. Bhati, V. S., Kumar, M., & Banerjee, R. (2021). Gas sensing performance of 2D nanomaterials/metal oxide nanocomposites: A review. Journal of Materials Chemistry C, 9(28), 8776–8808. Borràs, E., Ferré, J., Boqué, R., Mestres, M., Aceña, L., & Busto, O. (2015). Data fusion methodologies for food and beverage authentication and quality assessment – A review. Analytica Chimica Acta, 891, 1–14. Calvini, R., & Pigani, L. (2022). Toward the development of combined artificial sensing systems for food quality evaluation: A review on the application of data fusion of electronic noses, electronic tongues and electronic eyes. Sensors, 22(2), 577. Capelli, L., Sironi, S., Del Rosso, R., Céntola, P., & Il Grande, M. (2008). A comparative and critical evaluation of odour assessment methods on a landfill site. Atmospheric Environment, 42(30), 7050–7058. Casalinuovo, I. A., Di Pierro, D., Coletta, M., & Di Francesco, P. (2006). Application of electronic noses for disease diagnosis and food spoilage detection. Sensors, 6, 1428–1439. Castelli, M., Clemente, F. M., Popovič, A., Silva, S., & Vanneschi, L. (2020). A machine learning approach to predict air quality in California. Complexity, 1, 8049504. Darvishi, P., Mirzaee-Ghaleh, E., Ramedani, Z., Karami, H., & Wilson, A. D. (2024). Detecting whey adulteration of powdered milk by analysis of volatile emissions using a MOS electronic nose. International Dairy Journal, 157, 106012. Du, S., Xi, G., Chen, X., Wang, X., Ai, B., Wu, S., Li, S., & Zhao, W. (2024). Applications of electronic nose technology in the tobacco industry: A comprehensive review. Measurement Science and Technology, 35(3), 032002. Esfahani, S., Sagar, N. M., Kyrou, I., Mozdiak, E., O’Connell, N., Nwokolo, C., Bardhan, K. D., Arasaradnam, R. P., & Covington, J. A. (2016). Variation in gas and volatile compound emissions from human urine as it ages, measured by an electronic nose. Biosensors, 6(1), 4. Eusebio, L., Capelli, L., & Sironi, S. (2016). Electronic nose testing procedure for the definition of minimum performance requirements for environmental odor monitoring. Sensors, 16(9), 1548. Falasconi, M., Concina, I., Gobbi, E., Sberveglieri, V., Pulvirenti, A., & Sberveglieri, G. (2012). Electronic nose for microbiological quality control of food products. International Journal of Electrochemistry, 2012(1), 715763. Fens, N., De Nijs, S. B., Peters, S., Dekker, T., Knobel, H. H., Vink, T. J., Willard, N. P., et al. (2011). Exhaled air molecular profiling in relation to inflammatory subtype and activity in COPD. European Respiratory Journal, 38(6), 1301–1309. Gardner, J. W., & Bartlett, P. N. (1994). A brief history of electronic noses. Sensors and Actuators B: Chemical, 18(1–3), 210–211. Gostelow, P., Parsons, S. A., & Stuetz, R. M. (2001). Odour measurements for sewage treatment works. Water Research, 35(3), 579–597. Guermoui, M., Abdelaziz, R., Gairaa, K., Djemoui, L., & Benkaciali, S. (2022). New temperature-based predicting model for global solar radiation using support vector regression. International Journal of Ambient Energy, 43(1), 1397–1407. Guo, W. Q., Niu, J. Y., Hong, B., Xu, J. C., Han, Y. B., Peng, X. L., Ge, H. L., et al. (2023). Mesoporous Co₃O₄/In₂O₃ nanocomposites for formaldehyde gas sensors: Synthesis from ZIF-67 and gas-sensing behavior. Materials Research Bulletin, 164. Gupta, A., Dargar, S. K., & Dargar, A. (2023). TiO₂ thick film gas sensor for detection H₂S gas using ANN and machine learning technique. ICCECE 2023 – International Conference on Computer, Electrical and Communication Engineering. Haas, T., Schulze Lammers, P., Diekmann, B., Horner, G., & Boeker, P. (2007). A method for online measurement of odour with a chemosensor system. TRANSDUCERS and EUROSENSORS ’07 – 4th International Conference on Solid-State Sensors, Actuators and Microsystems, 2481–2484. Heriyadi, B., & Zakri, R. S. (2021). Evaluation and analysis of needs for air ventilation systems in underground coal mine (Case study in underground coal mine, Sawahlunto City). Journal of Physics: Conference Series, 1940(1), 012077. Iyovo, G. D., Du, G., & Chen, J. (2010). Sustainable bioenergy bioprocessing: Biomethane production, digestate as biofertilizer and as supplemental feed in algae cultivation to promote algae biofuel commercialization. Journal of Microbial and Biochemical Technology, 2(4), 100–106. Jing, Z., & Zhan, J. (2008). Fabrication and gas-sensing properties of porous ZnO nanoplates. Advanced Materials, 20(23), 4547–4551. Jońca, J., Pawnuk, M., Arsen, A., & Sówka, I. (2022). Electronic noses and their applications for sensory and analytical measurements in the waste management plants—A review. Sensors, 22(4). Khodkam, H., & Najafi, B. (2021). The impact of wealth on the amount and type of waste produced and choosing the best place to build a biogas plant using hierarchical. Journal of Renewable and New Energy. Khorramifar, A., Karami, H., Lvova, L., Kolouri, A., Łazuka, E., Piłat-Rożek, M., Łagód, G., et al. (2023). Environmental engineering applications of electronic nose systems based on MOX gas sensors. Sensors, 23(12). Kodogiannis, V., & Wadge, E. (2005). The use of gas-sensor arrays to diagnose urinary tract infections. International Journal of Neural Systems, 15(5), 363–376. Megersa, D. D., Cho, H. H., Kim, Y., Gudena, G. T., Lee, J., Bae, J. S., Chae, S., & Yu, H. K. (2023). Position-selective growth of WO₃ nanosheets for NH₃ gas sensors. Crystal Growth and Design, 23(5), 3447–3454. Mehdipour, R., & Ghaffari, A. (2021). Solar dryer performance simulation: Experimental and numerical study. Journal of Food Process Engineering, 44(11). Mirzaei, A., Lee, M. H., Pawar, K. K., Bharath, S. P., Kim, T. U., Kim, J. Y., Kim, S. S., & Kim, H. W. (2023). Metal oxide nanowires grown by a vapor–liquid–solid growth mechanism for resistive gas-sensing applications: An overview. Materials, 16(18). Nicolas, J., Romain, A. C., & Ledent, C. (2006). The electronic nose as a warning device of the odour emergence in a compost hall. Sensors and Actuators B: Chemical, 116(1–2), 95–99. Ordoñez-Araque, R., Rodríguez-Villacres, J., & Urresto-Villegas, J. (2020). Electronic nose, tongue and eye: Their usefulness for the food industry. Vitae, 27(3), 1–13. Özmen, A., & Doğan, E. (2009). Design of a portable e-nose instrument for gas classifications. IEEE Transactions on Instrumentation and Measurement, 58(10), 3609–3618. Pace, C., Khalaf, W., Latino, M., Donato, N., & Neri, G. (2012). E-nose development for safety monitoring applications in refinery environment. Procedia Engineering, 47, 1267–1270. Pan, L., & Yang, S. X. (2007). A new intelligent electronic nose system for measuring and analysing livestock and poultry farm odours. Environmental Monitoring and Assessment, 135(1–3), 399–408. Phukkaphan, N., Eamsa-Ard, T., Chairanit, C., & Kerdcharoen, T. (2021). The application of gas sensor array based electronic nose for milk spoilage detection. 2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST 2021) – Proceedings, 273–276. Qin, L., Gao, H., & Meng, F. (2023). Perovskite-structured NiTiO₃ modified NiO gas sensor for xylene detection. Chemosensors, 11(5). Ren, L., Cheng, G., Chen, W., Li, P., & Wang, Z. (2024). Advances in drift compensation algorithms for electronic nose technology. Sensor Review. Romain, A. C., Godefroid, D., & Nicolas, J. (2005). Monitoring the exhaust air of a compost pile with an e-nose and comparison with GC-MS data. Sensors and Actuators B: Chemical, 106(1), 317–324. Van Der Sar, I. G., Wijsenbeek, M. S., Braunstahl, G.-J., Loekabino, J. O., Dingemans, A.-M. C., In ’t Veen, J. C. C. M., & Moor, C. C. (2023). Differentiating interstitial lung diseases from other respiratory diseases using electronic nose technology. Springer, 24(1). Schaller, E., Bosset, J. O., & Escher, F. (1998). ‘Electronic noses’ and their application to food. LWT - Food Science and Technology. Sironi, S., Capelli, L., Céntola, P., & Del Rosso, R. (2007). Development of a system for the continuous monitoring of odours from a composting plant: Focus on training, data processing and results validation methods. Sensors and Actuators B: Chemical, 124(2), 336–346. Strike, D. J., Meijerink, M. G. H., & Koudelka-Hep, M. (1999). Electronic noses – A mini-review. Fresenius’ Journal of Analytical Chemistry, 364(6), 499–505. Sun, J., Tian, L., Chang, J., Kolomenskii, A. A., Schuessler, H. A., Xia, J., Feng, C., & Zhang, S. (2022). Adaptively optimized gas analysis model with deep learning for near-infrared methane sensors. Analytical Chemistry, 94(4), 2321–2332. Tarighi, J., Khodkam, H., & Ghorbani, A. (2024). A review of optimizing biogas production through pretreatment and pollution reduction. Journal of Renewable and New Energy. Tiele, A., Wicaksono, A., Kansara, J., Arasaradnam, R. P., & Covington, J. A. (2019). Breath analysis using eNose and ion mobility technology to diagnose inflammatory bowel disease—A pilot study. Biosensors, 9(2), Article 55. Timsorn, K., Thoopboochagorn, T., Lertwattanasakul, N., & Wongchoosuk, C. (2016). Evaluation of bacterial population on chicken meats using a briefcase electronic nose. Biosystems Engineering, 151, 116–125. Tsymbalenko, O., Lee, S., Lee, Y. M., Nam, Y. S., Kim, B. C., Kim, J. Y., & Lee, K. B. (2023). High-sensitivity NH₃ gas sensor using pristine graphene doped with CuO nanoparticles. Microchimica Acta, 190(4). Turner, A. P. F., & Magan, N. (2004). Electronic noses and disease diagnostics. Nature Reviews Microbiology, 2(2), 160–166. Wang, M., Chen, Y., Chen, D., Tian, X., Zhao, W., & Shi, Y. (2024). A food quality detection method based on electronic nose technology. Measurement Science and Technology, 35(5). Wawrzyniak, J. (2023). Advancements in improving selectivity of metal oxide semiconductor gas sensors opening new perspectives for their application in food industry. Sensors, 23(23), 9548. Wilson, A. D., & Baietto, M. (2009). Applications and advances in electronic-nose technologies. Sensors, 9, 5099–5148. Wojnowski, W., Dymerski, T., Gębicki, J., & Namieśnik, J. (2018). Electronic noses in medical diagnostics. Current Medicinal Chemistry, 26(1), 197–215. Xiang, L., Wu, S., Hua, Q., Bao, C., & Liu, H. (2021). Volatile organic compounds in human exhaled breath to diagnose gastrointestinal cancer: A meta-analysis. Frontiers in Oncology, 11. Xie, D., Zhang, F., Yu, K., Li, X., & Qu, F. (2023). A bimetallic MOF-derived α-Fe₂O₃/In₂O₃ heterojunction for a cyclohexane gas sensor. New Journal of Chemistry, 47(17), 7995–8001. Yang, N., Li, F., Liu, Y., Dai, T., Wang, Q., Zhang, J., Dai, Z., & Yu, B. (2022). Environmental and economic life-cycle assessments of household food waste management systems: A comparative review of methodology and research progress. Sustainability, 14(13), 7533. Yao, Y., Wang, Z., Han, Y., Xie, L., Zhao, X., Shahrokhian, S., Barsan, N., & Zhu, Z. (2023). Conductometric Cr₂O₃/TiO₂/Ti₃C₂Tx gas sensor for detecting triethylamine at room temperature. Sensors and Actuators B: Chemical, 381. Zakaria, A., Md Shakaff, A. Y., Masnan, M. J., Saad, F. S. A., Adom, A. H., Ahmad, M. N., Jaafar, M. N., Abdullah, A. H., & Kamarudin, L. M. (2012). Improved maturity and ripeness classifications of Mangifera indica cv. Harumanis mangoes through sensor fusion of an electronic nose and acoustic sensor. Sensors, 12(5), 6023–6048. Zang, C., Zhou, H., Ma, K., Yano, Y., Li, S., Yamahara, H., Seki, M., Iizuka, T., & Tabata, H. (2023). Electronic nose based on multiple electrospinning nanofibers sensor array and application in gas classification. Frontiers in Sensors, 4. Zhang, L., & Zhang, D. (2018). Efficient solutions for discreteness, drift, and disturbance (3D) in electronic olfaction. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(2), 242–254. | ||
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