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Enzyme Nanosheet-Based Electrochemical Aspartate Biosensor for Fish Point-of-Care Applications.
Rajarathinam, Thenmozhi; Thirumalai, Dinakaran; Jayaraman, Sivaguru; Kim, Seonghye; Kwon, Minho; Paik, Hyun-Jong; Kim, Suhkmann; Kang, Mijeong; Chang, Seung-Cheol.
Afiliação
  • Rajarathinam T; Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Korea.
  • Thirumalai D; Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Korea.
  • Jayaraman S; Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Korea.
  • Kim S; Department of Chemistry, Pusan National University, Busan 46241, Korea.
  • Kwon M; Department of Polymer Science and Engineering, Pusan National University, Busan 46241, Korea.
  • Paik HJ; Department of Polymer Science and Engineering, Pusan National University, Busan 46241, Korea.
  • Kim S; Department of Chemistry, Pusan National University, Busan 46241, Korea.
  • Kang M; Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Korea.
  • Chang SC; Department of Cogno-Mechatronics Engineering, College of Nanoscience and Nanotechnology, Pusan National University, Busan 46241, Korea.
Micromachines (Basel) ; 13(9)2022 Aug 29.
Article em En | MEDLINE | ID: mdl-36144051
Bacterial infections in marine fishes are linked to mass mortality issues; hence, rapid detection of an infection can contribute to achieving a faster diagnosis using point-of-care testing. There has been substantial interest in identifying diagnostic biomarkers that can be detected in major organs to predict bacterial infections. Aspartate was identified as an important biomarker for bacterial infection diagnosis in olive flounder (Paralichthys olivaceus) fish. To determine aspartate levels, an amperometric biosensor was designed based on bi-enzymes, namely, glutamate oxidase (GluOx) and aspartate transaminase (AST), which were physisorbed on copolymer reduced graphene oxide (P-rGO), referred to as enzyme nanosheets (GluOx-ASTENs). The GluOx-ASTENs were drop casted onto a Prussian blue electrodeposited screen-printed carbon electrode (PB/SPCE). The proposed biosensor was optimized by operating variables including the enzyme loading amount, coreactant (α-ketoglutarate) concentration, and pH. Under optimal conditions, the biosensor displayed the maximum current responses within 10 s at the low applied potential of -0.10 V vs. the internal Ag/AgCl reference. The biosensor exhibited a linear response from 1.0 to 2.0 mM of aspartate concentrations with a sensitivity of 0.8 µA mM-1 cm-2 and a lower detection limit of approximately 500 µM. Moreover, the biosensor possessed high reproducibility, good selectivity, and efficient storage stability.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article