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Biosensing of Cysteine through the Induction of Oxygen Vacancies in a Cu/Zr Heterostructure Prepared by Supercritical Antisolvent Technique.
Xiong, Wei-Guang; Li, Chang-Yong; Kankala, Ranjith Kumar; Chen, Ai-Zheng; Wang, Shi-Bin.
Affiliation
  • Xiong WG; Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen 361021, China.
  • Li CY; College of Materials Science and Engineering, Huaqiao University, Xiamen 361021, China.
  • Kankala RK; Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen 361021, China.
  • Chen AZ; College of Chemical Engineering, Huaqiao University, Xiamen 361021, China.
  • Wang SB; Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen 361021, China.
Langmuir ; 40(26): 13550-13561, 2024 Jul 02.
Article in En | MEDLINE | ID: mdl-38902967
ABSTRACT
There has been a growing emphasis on facile preparation of binary heterogeneous composite materials. Leveraging the eco-friendly efficiency of supercritical CO2 technology, we achieved precise control over the influencing factors of mass transfer, enabling the accurate modulation of the resulting product morphology and properties. In the current study, CuxO/ZrOy composite materials were prepared using this technology and calcined to obtain electrode materials for the detection of cysteine (Cys). Essential comprehensive characterization techniques were employed to elucidate the heterojunction. The resulting electrode demonstrated a linear response to Cys within a concentration range of 0.5 nM to 1 µM, featuring a high sensitivity of 1035 µA·cm-2·µM-1 and a low detection limit of 97.3 nM. Thus, establishing a novel avenue for nonenzyme-based electrochemical sensors tailored for biologically active Cys detection through the implementation of a heterogeneous structure.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Langmuir Journal subject: QUIMICA Year: 2024 Type: Article Affiliation country: China