# Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review
## 1 Introduction
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**Title of the Review** & **Focus** & **Content** & **Year** & **Ref** \\ \hline \multirow{9}{*}{[PERSON] et al.:} & & This review paper provides an overview of electronic nose & & \\  & & (EN) technology and its application in microbiological & & \\  & & screening across various food scenarios. It covers the detection & & \\  & & of microbial contamination in fruit juices, processed tomatoes, & & \\  & & maize grains (fungal and furnosin contamination), and green & & \\  & & coffee beans. The paper offers insights into both the & & \\  & & achievements and obstacles related to employing sensor & & \\  & & technology for food quality control. It underscores the & & \\  & & inherent variability in food samples and the limitations of & & \\  & & sensor technology. Furthermore, it outlines current trends and & & \\  & & potential future directions in this domain. & & \\ \hline \multirow{9}{*}{[PERSON] et al.:Diverse Applications of Electronic-Nose Agriculture and Forestry and Forestry} & & This paper offers a comprehensive review of electronic nose instruments and their applications in agriculture and forestry. It highlights recent advancements in e-nose technologies and their benefits to both industries. Applications in agriculture encompass agronomy, plant selection, and environmental monitoring. In forestry, these instruments find uses in wood processing, forest management, and waste management. The review emphasizes how e-nose applications have improved product quality and consistency in these sectors, enhancing production processes. Overall, this paper provides an overview of e-nose technologies’ impact on agriculture and forestry over the past three decades. & 2013 [26] \\ \hline \multirow{9}{*}{[PERSON] et al.: Chemical Sensors Employed in Electronic Noses: A Review} & & This paper examines electronic noses made for detecting & \\  & & electronic noses in the & volatile organic compounds in exhaled breath as biomarkers & 2013 [27] \\  & & biomedical field & for lung diseases. & \\ \hline \multirow{9}{*}{[PERSON] et al.: Chemical Sensors Employed in Electronic Noses: A Review} & & This review paper explores the operational principles of each & \\  & & chemical sensor type and their applications within the e-nose & & \\  & & system. The sensor array comprises various gas sensors, & \\  & & including Metal Oxide Semiconductor (MOS) sensors, optical & 2013 [28] \\  & & and amperometric gas sensors, Surface Acoustic Wave (SAW) & & \\  & & sensors, and piezoelectric gas sensors. & & \\ \hline \multirow{9}{*}{[PERSON] et al.: Chemical Sensors Employed in Electronic Noses: A Review} & & This article reviews recent scientific studies on electronic nose applications in environmental monitoring. It particularly focuses on their use in analyzing environmental quality parameters, process control, and assessing odor control system efficiency. The studies generally show that electronic noses are well suited for these applications, especially when customized & 2014 [29] \\  & & applications & and optimized. However, the review also highlights challenges and the need for standardization due to the & \\  & & complexity of these instruments and their & \\  & & various applications. & \\ \hline \multirow{9}{*}{[PERSON] et al.: Electronic Noses for Food Quality: A Review} & & This paper reviews recent electronic nose applications in the & \\  & & food industry, particularly in food quality monitoring, & \\  & & including meat, milk, fish, tea, coffee, and wines. It highlights & \\  & & ommodities in sensor usage and data processing methods & \\  & & across these applications and offers insights into the necessary & \\  & & advancements for practical industrial implementation. & \\ \hline \multirow{9}{*}{[PERSON] et al.: Chemical Sensors Employed in Electronic Noses: A Review} & & This review delves into the enhancement of electronic nose & \\  & & (e-nose) systems through optimizations in sensitive material & \\  & & selection, sensor array design, feature extraction methods, and pattern recognition techniques. It summarizes various feature & \\  & & extraction methods used in e-noses, offering insights for future & \\  & & developments in this technology. & \\ \hline \hline \end{tabular}
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