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Design and Application of Metal Organic Framework ZIF-90-ZnO-MoS2 Nanohybrid for an Integrated Electrochemical Liquid Biopsy.
Zhang, Yuan; Zhu, Hao; Ying, Zi; Gao, Xinghua; Chen, Wei; Zhan, Yueping; Feng, Lingyan; Liu, Chung Chiun; Dai, Yifan.
Afiliação
  • Zhang Y; Materials Genome Institute, Shanghai University, Shanghai 200444, China.
  • Zhu H; Materials Genome Institute, Shanghai University, Shanghai 200444, China.
  • Ying Z; Materials Genome Institute, Shanghai University, Shanghai 200444, China.
  • Gao X; Materials Genome Institute, Shanghai University, Shanghai 200444, China.
  • Chen W; Department of Emergency, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
  • Zhan Y; Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
  • Feng L; Materials Genome Institute, Shanghai University, Shanghai 200444, China.
  • Liu CC; Department of Chemical and Biomolecular Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Dai Y; Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Nano Lett ; 22(16): 6833-6840, 2022 08 24.
Article em En | MEDLINE | ID: mdl-35819288
ABSTRACT
Limited healthcare capacity highlights the needs of integrated sensing systems for personalized health-monitoring. However, only limited sensors can be employed for point-of-care applications, emphasizing the lack of a generalizable sensing platform. Here, we report a metal organic framework (MOF) ZIF-90-ZnO-MoS2 nanohybrid-based integrated electrochemical liquid biopsy (ELB) platform capable of direct profiling cancer exosomes from blood. Using a bottom-up approach for sensor design, a series of critical sensing functions is considered and encoded into the MOF material interface by programming the material with different chemical and structural features. The MOF-based ELB platform is able to achieve one-step sensor fabrication, target isolation, nonfouling and high-sensitivity sensing, direct signal transduction, and multiplexed detection. We demonstrated the capability of the designed sensing system on differentiating cancerous groups from healthy controls by analyzing clinical samples from lung cancer patients, providing a generalizable sensing platform.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Óxido de Zinco / Estruturas Metalorgânicas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Óxido de Zinco / Estruturas Metalorgânicas Idioma: En Ano de publicação: 2022 Tipo de documento: Article