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Assessment of fish adulteration using SnO2 nanopetal-based gas sensor and machine learning.
Mahata, Bidesh; Acharyya, Snehanjan; Banerji, Pallab; Guha, Prasanta Kumar.
Afiliação
  • Mahata B; School of Nano Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur 721302, India. Electronic address: bideshmahata@iitkgp.ac.in.
  • Acharyya S; Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
  • Banerji P; Materials Science Centre, Indian Institute of Technology Kharagpur, Kharagpur 721302, India. Electronic address: pallab@matsc.iitkgp.ac.in.
  • Guha PK; Electronics & Electrical Communication Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India. Electronic address: pkguha@ece.iitkgp.ac.in.
Food Chem ; 438: 138039, 2024 Apr 16.
Article em En | MEDLINE | ID: mdl-38011794
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peixes / Gases Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peixes / Gases Idioma: En Ano de publicação: 2024 Tipo de documento: Article