scholarly journals An Outlook of Recent Advances in Chemiresistive Sensor-Based Electronic Nose Systems for Food Quality and Environmental Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2271
Author(s):  
Alishba T. John ◽  
Krishnan Murugappan ◽  
David R. Nisbet ◽  
Antonio Tricoli

An electronic nose (Enose) relies on the use of an array of partially selective chemical gas sensors for identification of various chemical compounds, including volatile organic compounds in gas mixtures. They have been proposed as a portable low-cost technology to analyse complex odours in the food industry and for environmental monitoring. Recent advances in nanofabrication, sensor and microcircuitry design, neural networks, and system integration have considerably improved the efficacy of Enose devices. Here, we highlight different types of semiconducting metal oxides as well as their sensing mechanism and integration into Enose systems, including different pattern recognition techniques employed for data analysis. We offer a critical perspective of state-of-the-art commercial and custom-made Enoses, identifying current challenges for the broader uptake and use of Enose systems in a variety of applications.

2014 ◽  
Vol 23 (1) ◽  
pp. 15-18 ◽  
Author(s):  
Hi Gyu Moon ◽  
Soo Deok Han ◽  
Min-Gyu Kang ◽  
Woo-Suk Jung ◽  
Ho Won Jang ◽  
...  

The Analyst ◽  
2019 ◽  
Vol 144 (8) ◽  
pp. 2467-2479 ◽  
Author(s):  
Tesfay Gebretsadik ◽  
Tilahun Belayneh ◽  
Sosina Gebremichael ◽  
Wolfgang Linert ◽  
Madhu Thomas ◽  
...  

Paper based electrochemical sensors (PESs) are simple, low-cost, portable and disposable analytical sensing platforms that can be applied in clinical diagnostics, food quality control and environmental monitoring.


2014 ◽  
Vol 18 (2) ◽  
pp. 75
Author(s):  
Miloš Petković ◽  
Miroslav Božić ◽  
Dragiša Popović ◽  
Darko Todorović ◽  
Goran S. Đorđević

Standard versions of blood separators typically usemedium-price color sensors for a detection of a boundary levelbetween red blood cells and plasma, at the last gate – at hoseclamps. Discrete number of sensors is related to a number ofsignificant levels to be detected thus making blood separationpotentially faulty and unreliable. Our target was to makeflexible, low cost replacement for level detection system that canbe easily integrated into the existing product. We came up withan image processing solution that uses USB web-camera, ARMbased off-the-shelf board – BeagleBone black and free OpenCVlibrary. Flexibility is held in much higher, selectable number oflevels, freely positioned USB camera and brand-free independentprocessing platform, as well as semi-automatic calibrationsystem. By adding minimum additional electronics, we managedto integrate our solution into existing Blood processing machine.In conclusion, we added a new value to the machine at lower costin production, increasing measurement frequency and resolutionneeded for improvement of blood separation process. Next step isto try to use two USB cameras on a custom-made board, forsimultaneous level detection on two-channel blood separator,bringing the system integration to the higher level.


Chemosensors ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 201
Author(s):  
Wellington B. Gonçalves ◽  
Evelyn P. Cervantes ◽  
Ana C. C. S. Pádua ◽  
Gonçalo Santos ◽  
Susana I. C. J. Palma ◽  
...  

Ionogel are versatile materials, as they present the electrical properties of ionic liquids and also dimensional stability, since they are trapped in a solid matrix, allowing application in electronic devices such as gas sensors and electronic noses. In this work, ionogels were designed to act as a sensitive layer for the detection of volatiles in a custom-made electronic nose. Ionogels composed of gelatin and a single imidazolium ionic liquid were doped with bare and functionalized iron oxide nanoparticles, producing ionogels with adjustable target selectivity. After exposing an array of four ionogels to 12 distinct volatile organic compounds, the collected signals were analyzed by principal component analysis (PCA) and by several supervised classification methods, in order to assess the ability of the electronic nose to distinguish different volatiles, which showed accuracy above 98%.


2021 ◽  
pp. 130124
Author(s):  
Patrick P. Conti ◽  
Rafaela S. Andre ◽  
Luiza A. Mercante ◽  
Lucas Fugikawa-Santos ◽  
Daniel S. Correa

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 584
Author(s):  
Kelvin de Jesús Beleño-Sáenz ◽  
Juan Martín Cáceres-Tarazona ◽  
Pauline Nol ◽  
Aylen Lisset Jaimes-Mogollón ◽  
Oscar Eduardo Gualdrón-Guerrero ◽  
...  

More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.


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