Employment of MQ gas sensors for the classification of Cistus ladanifer essential oils-Reference-Cited by-同舟云学术

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Employment of MQ gas sensors for the classification of Cistus ladanifer essential oils

Published:2024-11 Issue: Volume:206 Page:111585
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Diaz Blasco Francisco Javier,Viciano-Tudela Sandra,Parra Lorena,Ahmad Ali,Chaloupková Veronika^ORCID,Bados Raquel^ORCID,Esteban Pascual Luis Saul,Mediavilla Irene^ORCID,Sendra Sandra^ORCID,Lloret Jaime^ORCID

Funder

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference44 articles.

1. Ultra-selective tin oxide-based chemiresistive gas sensor employing signal transform and machine learning techniques;Acharyya;Anal. Chim. Acta,2022

2. Hierarchical zinc stannate nanoneedle-based sensitive detection of formaldehyde;Acharyya;ACS Applied Electronic Materials,2023

3. Smart and selective gas sensor system empowered with machine learning over IoT platform;Acharyya;IEEE Internet Things J.,2023

4. Enhanced formaldehyde sensing performance employing plasma-treated hierarchical SnO2 nanosheets through oxygen vacancy modulation;Acharyya;Appl. Surf. Sci.,2024

5. Characterization and analysis of Okoume and aiele essential oils from Gabon by gc-ms, electronic nose, and their antibacterial activity assessment;Aghoutane;Sensors,2020

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