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High Sensing Performance Toward Acetone Vapor Using TiO2 Flower-Like Nanomaterials.
Yang, Weiye; Ou, Quanhong; Yan, Xueqian; Liu, Lei; Liu, Shaoyu; Chen, Huohuo; Liu, Yingkai.
Afiliação
  • Yang W; Yunnan Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming, 650500, China.
  • Ou Q; Institute of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, China.
  • Yan X; Key Laboratory of Advanced Technique and Preparation for Renewable Energy Materials, Ministry of Education, Yunnan Normal University, Kunming, 650500, China.
  • Liu L; Zunyi Medical University, Zunyi, 563000, China.
  • Liu S; Yunnan Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming, 650500, China.
  • Chen H; Institute of Physics and Electronic Information, Yunnan Normal University, Kunming, 650500, China.
  • Liu Y; Key Laboratory of Advanced Technique and Preparation for Renewable Energy Materials, Ministry of Education, Yunnan Normal University, Kunming, 650500, China.
Nanoscale Res Lett ; 17(1): 82, 2022 Sep 02.
Article em En | MEDLINE | ID: mdl-36053407
ABSTRACT
For real-application gas sensors, high performances (response, selectivity, response/recovery time and stability) are demanded. An effective strategy is applying nanomaterials in gas sensors. In this study, the anatase TiO2 flower-like nanomaterials (FLNMs) are prepared through a one-step hydrothermal method which exhibit high-performance toward acetone vapor. TiO2 FLNMs sensors property are characterized at optimal working temperature of 330 °C with selectivity (acetone), response (S = 33.72 toward 250 ppm acetone), linear dependence (R2 = 0.9913), response/recovery time (46/24 s toward 250 ppm acetone) and long-term stability (30 days). These demonstrate that TiO2 FLNMs get a high performance for acetone sensor. Moreover, the limit of detection of acetone is 0.65 ppm which is lower than that of exhaled air for diabetes (0.8 ppm), indicating that TiO2 FLNMs gas sensor gets potential application in medical diagnosis.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article