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Autocombustion Route Derived Zinc Ferrite Nanoparticles as Chemiresistive Sensor for Detection of Alcohol Vapors.
Bhagat, B; Gupta, Santosh K; Mandal, D; Bandyopadhyay, R; Mukherjee, K.
Afiliação
  • Bhagat B; Department of Chemistry, Pandit Deendayal Energy University, Gandhinagar, 382426, Gujarat, India.
  • Gupta SK; Radiochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India.
  • Mandal D; Homi Bhabha National Institute, Anushaktinagar, Mumbai, 400094, India.
  • Bandyopadhyay R; Institute of Nano Science and Technology, Mohali, India.
  • Mukherjee K; Department of Chemistry, Pandit Deendayal Energy University, Gandhinagar, 382426, Gujarat, India.
Chemphyschem ; 25(14): e202300730, 2024 Jul 15.
Article em En | MEDLINE | ID: mdl-38411619
ABSTRACT
Prolonged exposure to alcohol vapors can have detrimental effects on human health, potentially leading to eye irritation, dizziness, and in some cases, damage to the nervous system. The present article aims to provide a comprehensive understanding on the synthesis and characterization of zinc ferrite (ZnFe2O4) nanoparticles, as well as their interactions with a range of alcohol vapors, including methanol, ethanol, n-propanol, and isopropanol. These alcohols differ in their molecular weight, boiling points, diffusivity, and other properties. The study reveals the semiconducting ZnFe2O4 nanoparticulate sensor's capability for reversible, repeatable, and sensitive detection of alcohol vapors. The sensor exhibits the highest response to ethanol within operating temperature range (225-300 °C). An attempt is made to establish a correlation between the properties of the target analytes and the observed sensing signals. Additionally, the response conductance transients of ZnFe2O4 under the exposure to the studied alcohol vapors are modeled based on the Langmuir-Hinshelwood adsorption mechanism. The characteristic time constants obtained from this modeling are justified with respect to the properties of the analytes.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article