Journal of Semiconductor Devices and Circuits Review Article
The Future is Smelling: Exploring the Potential of e-Nose
Abstract
The human sense of smell, a complex and often underestimated faculty, allows us to perceive the world through volatile organic compounds (VOCs). This ability to detect and differentiate between aromas, flavors, and even potential hazards has inspired the development of the electronic nose, or e-nose. More than just a novelty, e-noses are rapidly becoming sophisticated analytical tools with applications that span across numerous industries. By mimicking the biological processes of olfaction, these devices are opening up new avenues for quality control, environmental monitoring, and even disease diagnosis. At their core, e-noses are devices that use an array of chemical sensors to detect and analyze the "smellprint" of a sample. Unlike human noses which rely on olfactory receptors in the nasal cavity, e-noses employ a variety of sensors that react to different chemical compounds. These sensors, often made of materials like conducting polymers, metal oxides, or quartz crystal microbalances, generate unique electrical signals upon interacting with VOCs. This collective response forms a distinct pattern, which is then analyzed by sophisticated software using pattern recognition algorithms. This pattern is the e-nose's way of "smelling." The brilliance of e-noses doesn't just stem from their ability to detect VOCs; it lies in their capacity to learn and differentiate between complex mixtures of these compounds. Through training with known samples, the e-nose can learn to identify specific odors and their corresponding chemical profiles. This capability makes them incredibly versatile, applicable across a spectrum of fields.
Keywords
References (55)
- Liyakat KKS. Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. Lecture Notes in Networks and Systems. 2023:123-134. doi:10.1007/978-981-99-3932-9_12
- . M Pradeepa, et al. (2022). Student Health Detection using a Machine Learning Approach and IoT, 2022 IEEE 2nd Mysore sub section International Conference (MysuruCon), 2022. Available at: https://ieeexplore.ieee.org/document/9972445
- Liyakat KKS. Detecting Malicious Nodes in IoT Networks Using Machine Learning and Artificial Neural Networks. 2023 International Conference on Emerging Smart Computing and Informatics (ESCI). 2023:1-5. doi:10.1109/esci56872.2023.10099544
- Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Sayyad Liyakat KK. Implementation and Recognition of Waste Management System with Mobility Solution in Smart Cities using Internet of Things. 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). 2023:1661-1665. doi:10.1109/icaiss58487.2023.10250690
- Liyakat KKS. Machine Learning Approach Using Artificial Neural Networks to Detect Malicious Nodes in IoT Networks. Algorithms for Intelligent Systems. 2023:27-37. doi:10.1007/978-981-99-4577-1_3
- Kazi K. AI-Driven IoT (AIIoT) in Healthcare Monitoring. Advances in Media, Entertainment, and the Arts. 2024:77-101. doi:10.4018/979-8-3693-0639-0.ch003
- Kazi K. Modelling and Simulation of Electric Vehicle for Performance Analysis. Advances in Mechatronics and Mechanical Engineering. 2024:295-320. doi:10.4018/979-8-3693-2611-4.ch014
- Kazi KS. Computer-Aided Diagnosis in Ophthalmology. Advances in Healthcare Information Systems and Administration. 2024:112-135. doi:10.4018/979-8-3693-3661-8.ch006
- . Prashant K Magadum (2024). Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems, Grenze International Journal of Engineering and Technology, Jan Issue, Vol 10, Issue 1, pp. 2074-2080. Grenze ID: 01.GIJET.10.1.4_1 Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2514&id=8
- . Priya Mangesh Nerkar, BhagyarekhaUjjwalganeshDhaware. (2023). Predictive Data Analytics Framework Based on Heart Healthcare System (HHS) Using Machine Learning, Journal of Advanced Zoology, 2023, Volume 44, Special Issue -2, Page 3673:3686. Available at: https://jazindia.com/index.php/jaz/article/view/1695
- Neeraja P, Kumar RG, Kumar MS, Liyakat KKS, Vani MS. DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring. 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). 2024:589-594. doi:10.1109/ic2pct60090.2024.10486714
- Explainable Artificial Intelligence in Healthcare Systems. 2024. doi:10.52305/gomr8163
- Liyakat Kazi KS. ChatGPT. Advances in Computational Intelligence and Robotics. 2024:1-20. doi:10.4018/979-8-3693-4268-8.ch001
- Veena C, Sridevi M, Liyakat KKS, Saha B, Reddy SR, Shirisha N. HEECCNB: An Efficient IoT-Cloud Architecture for Secure Patient Data Transmission and Accurate Disease Prediction in Healthcare Systems. 2023 Seventh International Conference on Image Information Processing (ICIIP). 2023:407-410. doi:10.1109/iciip61524.2023.10537627
- Prasad KR, Karanam SR, Ganesh D, Liyakat KKS, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. The Journal of High Technology Management Research. 2024;35(1):100496. doi:10.1016/j.hitech.2024.100496
- Kazi KSL. IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector. Advances in Marketing, Customer Relationship Management, and E-Services. 2024:63-81. doi:10.4018/979-8-3693-3049-4.ch004
- Kazi KSL. Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2024:16-39. doi:10.4018/979-8-3693-3033-3.ch002
- Kazi KSL. Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation. Advances in Business Information Systems and Analytics. 2024:72-94. doi:10.4018/979-8-3693-3583-3.ch005
- . Kazi Kutubuddin, (2024c). Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp- 5367-5374.Grenze ID: 01.GIJET.10.2.429. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3371&id=8
- . Kazi Kutubuddin, (2024d). A Novel Approach on ML based Palmistry, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp- 5186-5193. Grenze ID: 01.GIJET.10.2.393. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3344&id=8
- . Kazi Kutubuddin, (2024e). IoT based Boiler Health Monitoring for Sugar Industries, Grenze International Journal of Engineering and Technology, Vol 10, Issue 2, pp. 5178 -5185. Grenze ID: 01.GIJET.10.2.392. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3343&id=8
- Kazi KSL. Machine Learning-Based Pomegranate Disease Detection and Treatment. Advances in Environmental Engineering and Green Technologies. 2024:469-498. doi:10.4018/979-8-3693-3061-6.ch019
- Kazi KSL. IoT Technologies for the Intelligent Dairy Industry. Advances in Business Information Systems and Analytics. 2024:321-350. doi:10.4018/979-8-3693-5498-8.ch012
- Liyakat KKS. Heart Health Monitoring Using IoT and Machine Learning Methods. Advances in Medical Technologies and Clinical Practice. 2024:257-282. doi:10.4018/979-8-3693-3212-2.ch010
- Kazi KSL. AI-Powered-IoT (AIIoT)-Based Decision-Making System for BP Patient's Healthcare Monitoring. Advances in Computational Intelligence and Robotics. 2024:205-238. doi:10.4018/979-8-3693-6502-1.ch008
- Kazi KSL. AI-Driven-IoT (AIIoT)-Based Decision Making in Drones for Climate Change. Advances in Computational Intelligence and Robotics. 2024:311-340. doi:10.4018/979-8-3693-6502-1.ch011
- Kazi KSL. AI-Driven-IoT(AIIoT)-Based Decision Making in Kidney Diseases Patient Healthcare Monitoring. Advances in Healthcare Information Systems and Administration. 2024:277-306. doi:10.4018/979-8-3693-7277-7.ch009
- Kazi KSL, Mahant MA. Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. Advances in Medical Technologies and Clinical Practice. 2024:205-236. doi:10.4018/979-8-3693-9641-4.ch007
- IOT-BASED SKIN HEALTH MONITORING SYSTEM. International Journal of Biology, Pharmacy and Allied Sciences. 2024;13(11). doi:10.31032/ijbpas/2024/13.11.8488
- Kazi KSL. AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture. Advances in Computational Intelligence and Robotics. 2024:67-96. doi:10.4018/979-8-3693-6230-3.ch003
- Kazi KSL. KK Approach to Increase Resilience in Internet of Things. Advances in Information Security, Privacy, and Ethics. 2024:87-120. doi:10.4018/979-8-3693-9491-5.ch005
- Kazi KSL. Machine Learning-Driven Internet of Medical Things (ML-IoMT)-Based Healthcare Monitoring System. Advances in Healthcare Information Systems and Administration. 2024:49-86. doi:10.4018/979-8-3693-6294-5.ch003
- . Kazi Kutubuddin, (2024c). Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors, Grenze International Journal of Engineering and Technology,Vol 10, Issue 2, pp- 5367-5374. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3371&id=8
- . Kazi Kutubuddin, (2024e). A Novel Approach on ML based Palmistry, Grenze International Journal of Engineering and Technology,Vol 10, Issue 2, pp- 5186-5193. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3344&id=8
- . Kazi Kutubuddin, (2024e).IoT based Boiler Health Monitoring for Sugar Industries,Grenze International Journal of Engineering and Technology,Vol 10, Issue 2, pp. 5178 -5185. Available at: https://thegrenze.com/index.php?display=page&view=journalabstract&absid=3343&id=8
- . Prashant K Magadum (2024). Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems, Grenze International Journal of Engineering and Technology, Jan Issue, Vol 10, Issue 1, pp. 2074-2080. Grenze ID: 01.GIJET.10.1.4_1 Available at:https://thegrenze.com/index.php?display=page&view=journalabstract&absid=2514&id=8
- . Altaf O. Mulani, Arti Vasant Bang, Ganesh B. Birajadar, Amar B. Deshmukh, Hemlata Makarand Jadhav, (2024). IoT Based Air, Water, and Soil Monitoring System for Pomegranate Farming, Annals of Agri-Bio Research. 29 (2): 71-86, 2024.
- Kazi KSL. Transformation of Agriculture Effectuated by Artificial Intelligence-Driven Internet of Things (AIIoT). Advances in Marketing, Customer Relationship Management, and E-Services. 2024:449-484. doi:10.4018/979-8-3693-6468-0.ch015
- . Sunil B. Mishra (2024e). AI-Driven-IoT (AIIoT) Based Decision-Making in Molten Metal Processing, Journal of Industrial Mechanics, 9(2), 45-56.
- . Kazi Kutubuddin Sayyad Liyakat, Impact of Nanotechnology on Battlefield Welfare: A Study. International journal of Nanobiotechnology. 2024; 10(02): 19-32p.
- . Kazi Sultanabanu Sayyad Liyakat and Kazi Kutubuddin Sayyad Liyakat, Nanosensors in Agriculture Field: A Study. International Journal of Applied Nanotechnology. 2024; 10(02): 12-22p. Available from:https://journalspub.com/publication/ijan-v10i02-11625/
- . Kazi Kutubuddin Sayyad Liyakat, Nanotechnology in Space Study. International Journal of Applied Nanotechnology. 2024; 10(02): 39-46p. Available from:https://journalspub.com/publication/ijan-v10i02-11616/
- . Dr. Kazi Kutubuddin Sayyad Liyakat. (2024). KSK Approach to Smart Agriculture: Utilizing AI-Driven Internet of Things (AI IoT). Journal of Microcontroller Engineering and Applications. 2024; 11(03):21-32.
- . Kazi Kutubuddin Sayyad Liyakat. (2024). Microwave Communication in the Internet of Things: A Study. Journal of RF and Microwave Communication Technologies, 38–49. Retrieved from https://matjournals.net/engineering/index.php/JoRFMCT/article/view/1276
- . Kazi Kutubuddin Sayyad Liyakat, (2023). Nanorobotics: A Review, International Journal of Applied Nanotechnology (IJAN), 9(2), pp. 36 – 43. DOI: https://doi.org/10.37628/ijan.v9i2.1019
- . Kazi Kutubuddin Sayyad Liyakat. (2024). Internet of Battlefield Things: An IoBT-inspired Battlefield of Tomorrow. Journal of Telecommunication, Switching Systems and Networks. 2024; 11(3): 11–19p.
- . Kazi Kutubuddin Sayyad Liyakat (2024). Nanotechnology in Medical Applications: A Study. Nano Trends: A Journal of Nanotechnology and Its Applications. 2024; 26(2): 1–11p.
- . Kazi Kutubuddin Sayyad Liyakat. (2024). Nanotechnology in BattleField: A Study. Journal of Nanoscience, Nanoengineering & Applications. 2024; 14(2): 18–30p.
- . Sultananbanu Sayyad Liyakat Kazi, (2024). Polymer Applications in Energy Generation and Storage: A Forward Path. Journal of Nanoscience, Nanoengineering & Applications. 2024; 14(2): 31–39p.
- . Kazi Kutubuddin Sayyad Liyakat, (2024). Review of Biopolymers in Agriculture Application: An Eco-Friendly Alternative. International Journal of Composite and Constituent Materials. 2024; 10(1): 50–62p.
- . K K Sayyad Liyakat. (2024). Impact of Nanotechnology on Battlefield Welfare: A Study. International Journal of Nanobiotechnology. 2024; 10(2): 19– 32p.
- . Sultanabanu Sayyad Liyakat, (2024q). Nanotechnology in Healthcare Applications: A Study. International Journal of Nanobiotechnology. 2024; 10(2): 48–58p.
- Upadhyaya AN, Surekha C, Malathi P, Suresh G, Suriyan K, Liyakat KKS. Pioneering Cognitive Computing for Transformative Healthcare Innovations. SSRN Electronic Journal. 2025. doi:10.2139/ssrn.5086894
- Kazi KSL, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine Learning for Brand Protection. Advances in Marketing, Customer Relationship Management, and E-Services. 2025:175-220. doi:10.4018/979-8-3693-7041-4.ch007
- Mulani AO, Liyakat KKS, Warade NS, Patil A, Kolte MT, Kinage K, et al. ML-powered Internet of Medical Things Structure for Heart Disease Prediction. Journal of Pharmacology and Pharmacotherapeutics. 2025. doi:10.1177/0976500x241306184