Electronic Noses: From Gas-Sensitive Components and Practical Applications to Data Processing.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Jul 2024
Historique:
received: 09 05 2024
revised: 14 06 2024
accepted: 16 06 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 10 8 2024
Statut: epublish

Résumé

Artificial olfaction, also known as an electronic nose, is a gas identification device that replicates the human olfactory organ. This system integrates sensor arrays to detect gases, data acquisition for signal processing, and data analysis for precise identification, enabling it to assess gases both qualitatively and quantitatively in complex settings. This article provides a brief overview of the research progress in electronic nose technology, which is divided into three main elements, focusing on gas-sensitive materials, electronic nose applications, and data analysis methods. Furthermore, the review explores both traditional MOS materials and the newer porous materials like MOFs for gas sensors, summarizing the applications of electronic noses across diverse fields including disease diagnosis, environmental monitoring, food safety, and agricultural production. Additionally, it covers electronic nose pattern recognition and signal drift suppression algorithms. Ultimately, the summary identifies challenges faced by current systems and offers innovative solutions for future advancements. Overall, this endeavor forges a solid foundation and establishes a conceptual framework for ongoing research in the field.

Identifiants

pubmed: 39123852
pii: s24154806
doi: 10.3390/s24154806
pii:
doi:

Substances chimiques

Gases 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National key research and development program
ID : 2021YFF0600202

Auteurs

Zhenyu Zhai (Z)

National Institute of Metrology of China, Beijing 100029, China.

Yaqian Liu (Y)

Inner Mongolia Institute of Metrology Testing and Research, Hohhot 010020, China.

Congju Li (C)

College of Textiles, Donghua University, Shanghai 201620, China.

Defa Wang (D)

National Institute of Metrology of China, Beijing 100029, China.

Hai Wu (H)

National Institute of Metrology of China, Beijing 100029, China.

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Classifications MeSH