Erratum: Kiselev, I., et al. On the Temporal Stability of Analyte Recognition with an E-Nose Based on a Metal Oxide Sensor Array in Practical Applications. Sensors 2018, 18, 550 (original) (raw)

ROLE OF SUBSTANTIAL CHARACTERISTICS IN ELECTRONIC NOSE SENSOR SELECTION FOR DIVERSE APPLICATIONS

Electronic Nose has widen up the possibilities of detection and analysis of certain factors for environmental, medical, narcotic, military and many more application areas. A systematic approach for the parameter selection and choice of proper sensor arrays determines the quality of the expected output. The main motto behind the approach is to obtain certain outcomes as the final result of analysis carried out on the basis of data acquired. Certain characteristics and properties play a vital role in the entire process of odor recognition, ranging from sensor selection to odor measurement and analysis. This paper presents the discussion of prime properties and its importance with examples, which are always been attached with real world challenges as well as physical systems. Sensitivity and Selectivity are the key features of any E-Nose systems

Electronic Nose and Its Applications: A Survey

International Journal of Automation and Computing, 2019

In the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medicine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great advantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, further enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an extensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic.