Sawtooth wave temperature modulation measurement method for recognizing five kinds of VOCs based on ZnO gas sensor

Meng, Fanli; He, Lin; Ji, Hanyang; Yuan, Zhenyu

doi:10.1016/j.measurement.2024.114342

Measurement

2024

DOI: 10.1016/j.measurement.2024.114342

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Sawtooth wave temperature modulation measurement method for recognizing five kinds of VOCs based on ZnO gas sensor

Fanli Meng,

Lin He,

Hanyang Ji

et al.

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2024

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Cited by 2 publications

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Detection Strategies for Volatile Fragrance Released from Agricultural Products: Progress and Prospects

Wang,

Zhou,

2024

Advanced Sensor Research

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The volatile aroma released from agricultural products is closely related to the health status and quality of their growth, thus endowing the related detection with great significance. For example, the dynamic variation of the volatile chemical composition of a banana during the growth process can reflect its ripeness. Also important for quality monitoring and storage is to precisely and swiftly identify volatile compounds produced by mildew in rice and wheat. In this endeavor, the current detection technologies such as gas chromatography‐mass spectrometry method (GC‐MS) cannot meet the pressing needs of smart agriculture in terms of real‐time monitoring, cost‐effectiveness, sensitivity, and detection speed, thereby necessitating alternative strategies to simultaneously satisfy these requirements. Aiming to provide an overall development trend in this field, this paper summarizes the existing detection technologies including GC‐MS, E‐nose, and sensory analysis with their respective shortcomings and challenges, and then proposes the application prospects. This work can effectively enrich the reliable monitoring methods for volatile agricultural fragrance while promoting the long‐run development of smart agriculture.

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Detection Strategies for Volatile Fragrance Released from Agricultural Products: Progress and Prospects

Wang,

Zhou,

2024

Advanced Sensor Research

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Advances in Gas Detection of Pattern Recognition Algorithms for Chemiresistive Gas Sensor

Zhou,

Du,

Zhong

et al. 2024

Materials

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Gas detection and monitoring are critical to protect human health and safeguard the environment and ecosystems. Chemiresistive sensors are widely used in gas monitoring due to their ease of fabrication, high customizability, mechanical flexibility, and fast response time. However, with the rapid development of industrialization and technology, the main challenges faced by chemiresistive gas sensors are poor selectivity and insufficient anti-interference stability in complex application environments. In order to overcome these shortcomings of chemiresistive gas sensors, the pattern recognition method is emerging and is having a great impact in the field of sensing. In this review, we focus systematically on the advancements in the field of data processing methods for feature extraction, such as the methods of determining the characteristics of the original response curve, the curve fitting parameters, and the transform domain. Additionally, we emphasized the developments of traditional recognition algorithms and neural network algorithm in gas discrimination and analyzed the advantages through an extensive literature review. Lastly, we summarized the research on chemiresistive gas sensors and provided prospects for future development.

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Sawtooth wave temperature modulation measurement method for recognizing five kinds of VOCs based on ZnO gas sensor

Cited by 2 publications

References 44 publications

Detection Strategies for Volatile Fragrance Released from Agricultural Products: Progress and Prospects

Detection Strategies for Volatile Fragrance Released from Agricultural Products: Progress and Prospects

Advances in Gas Detection of Pattern Recognition Algorithms for Chemiresistive Gas Sensor

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