Highly-sensitive volatile organic compounds evaluation by three-dimensional ZnFe2O4/ZnSnO3 heterostructures and their predictive grain quality monitoring

Liu, Kewei; Zheng, Zichen; Debliquy, Marc; Zhang, Chao

doi:10.1016/j.cej.2022.139824

Article (Scientific journals)

Highly-sensitive volatile organic compounds evaluation by three-dimensional ZnFe2O4/ZnSnO3 heterostructures and their predictive grain quality monitoring

Liu, Kewei; Zheng, Zichen; Debliquy, Marc et al.

2023 • In Chemical Engineering Journal, 453, p. 139824

Peer Reviewed verified by ORBi

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https://hdl.handle.net/20.500.12907/46445

DOI
10.1016/j.cej.2022.139824

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Keywords :

1-Octen-3-ol; Gas sensor; Heterojunction; Nanocomposite; Rice mildew; 1-octen-3-ol; Cereal quality; Detection limits; Gas-sensors; Grain quality; Human health; Ppb levels; Quality evaluation; Quality monitoring; Chemistry (all); Environmental Chemistry; Chemical Engineering (all); Industrial and Manufacturing Engineering; General Chemical Engineering; General Chemistry

Abstract :

[en] As a common metabolite of various agricultural products, 1-octen-3-ol plays a key role in cereal quality evaluation with adverse impacts on human health after inhalation, of which the detectors meeting the detection limit of ppb level that satisfies the request of application have been reported rarely. Herein, ZnFe2O4 and ZnSnO3 are selected to design heterostructured materials for highly sensitive and selective detection of 1-octen-3-ol gas. The sensing results prove that fine-tuned surface oxygen vacancies and highly-efficient electron transition of the nanocomposites are achieved through modulating the loading amount of ZnFe2O4, contributing to the significantly enhanced response (40.15 @ 50 ppm), low limit of detection (420 ppb), optimized selectivity and excellent long-term stability (40.786 ± 1.693 @ 50 ppm for 15 days). The enhancement mechanism is explained by a large specific surface area with hollow mesoporous structures, consequent bandgap narrowing and decreased charge transfer resistance, which is further verified through DFT analysis. Moreover, the practical application for the unhusked rice detection is carried out. This work shed light on a new promising candidate for detecting characterized volatile organic compounds released from mildewed rice which may strikingly affect the rice storage industry by simplifying the quality control approach to a great extent.

Disciplines :

Materials science & engineering

Author, co-author :

Liu, Kewei; College of Mechanical Engineering, Yangzhou University, Yangzhou, China

Zheng, Zichen; College of Mechanical Engineering, Yangzhou University, Yangzhou, China

Debliquy, Marc ; Université de Mons - UMONS > Faculté Polytechnique > Service de Science des Matériaux

Zhang, Chao ; Université de Mons - UMONS > Faculté Polytechnique > Science des Matériaux ; College of Mechanical Engineering, Yangzhou University, Yangzhou, China

Language :

English

Title :

Highly-sensitive volatile organic compounds evaluation by three-dimensional ZnFe2O4/ZnSnO3 heterostructures and their predictive grain quality monitoring

Publication date :

February 2023

Journal title :

Chemical Engineering Journal

ISSN :

1385-8947

eISSN :

1873-3212

Publisher :

Elsevier B.V.

Volume :

453

Pages :

139824

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S1385894722053037?httpAccept=text/xml

Research unit :

F502 - Science des Matériaux

Research institute :

R400 - Institut de Recherche en Science et Ingénierie des Matériaux

Funders :

Outstanding Youth Foundation of Jiangsu Province of China
Graduate Research and Innovation Projects of Jiangsu Province
National Key Research and Development Program of China
National Natural Science Foundation of China

Funding text :

This work is supported by the National Natural Science Foundation of China under Grant No. 51872254, the Outstanding Youth Foundation of Jiangsu Province of China under Grant No. BK20211548, the National Key Research and Development Program of China under Grant No. 2017YFE0115900 and Graduate Research Innovation Program of Jiangsu Province of China under Grant No. KYCX22_3494.

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