4.7 Article

Tunable oxygen vacancies of cobalt oxides for efficient gas sensing application

Journal

SENSORS AND ACTUATORS B-CHEMICAL
Volume 350, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2021.130860

Keywords

Cobalt oxides; Gas sensing; P-type metal oxide; Defect engineering; Porous structure; Triethylamine detection

Funding

  1. University of Jinan
  2. Shandong Shenna Smart Advanced Materials Co., Ltd.

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This study successfully detected triethylamine (TEA) using newly generated p-type Co3O4 nanosheets with rich oxygen vacancies, showing high sensitivity, excellent selectivity, and stability at an operating temperature of 200 degrees Celsius. By controlling annealing temperature to adjust oxygen vacancies and particle morphologies, a new approach for designing p-type metal oxide semiconductor nanomaterials for gas sensing applications was proposed.
It is a big challenge to apply p-type metal oxide semiconductors for gas sensing. This study presents an efficient and rapid approach to detect triethylamine (TEA) by newly generated p-type Co3O4 nanosheets with rich oxygen vacancies. These porous Co3O4 nanosheets were synthesized via a simple but efficient hydrothermal method, followed by annealing process. The defect concentration, highly related to the morphology of the obtained sensing materials, was readily adjustable by controlling annealing temperature. It was found that the presence of abundant oxygen vacancies and the large specific surface area have synergistically promoted gas sensing performance using Co3O4 nanosheets in detecting TEA with a sensitive response (Sg/a = 124.36 for 100 ppm TEA) at an operating temperature (200 degrees C). Furthermore, the Co3O4 nanosheets have exhibited excellent selectivity, repeatability and stability, probably attributed to the formation of mesoporous structures and appropriate oxygen vacancy concentrations. This work may offer an effective path for designing p-type metal oxide semiconductor nanomaterials for gas sensing applications by controlling oxygen vacancies and particle morphologies.

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