A Separation‐Sensing Membrane Performing Precise Real‐Time Serum Analysis During Blood Drawing. (18th August 2020)

• Record Type: Journal Article
• Authors: Chu, Zhenyu; Zhang, Wei; You, Qiannan; Yao, Xiaoyue; Liu, Tao; Liu, Gongping; Zhang, Guangru; Gu, Xiaoping; Ma, Zhengliang; Jin, Wanqin
• Is Part Of: Angewandte Chemie. Volume 132:Number 42(2020)
• Page Start: 18860
• Page End: 18867
• Publication Date: 2020-08-18
• Subjects: blood separation -- electrochemical biosensing -- heterogeneous nanostructures -- hollow fibre membranes -- real-time analysis; Chemistry -- Periodicals; 540
• DOI: 10.1002/ange.202008241
• Languages: English
• ISSNs: 0044-8249

Abstract

Abstract: Dynamic and on‐site analysis of serum from human blood is crucial, however, state‐of‐the‐art blood‐assay methods can only collect single or discrete data of physiological analytes; thus, the online reports of the dynamic fluctuation of key analytes remains a great challenge. Here, we propose a novel separation‐sensing membrane by constructing a heterogeneous‐nanostructured architecture, wherein a surface nanoporous layer continuously extracts serum, while the biosensing nanochannels underneath dynamically recognise biotargets, thereby achieving a continuous testing of vital clinical indices as blood is drawn. By precisely controlling the pore structure and nanoshape of biosensing crystals, this membrane achieved accurate and online glucose and lactate monitoring in patients with a variety of medical conditions within 1 min, which is one order of magnitude faster than state‐of‐the‐art techniques. Moreover, various kinds of bio‐recognisers can be introduced into this membrane to accurately detect glutamate, transaminase, and cancer biomarkers. Abstract : A separation‐sensing membrane is constructed into a heterogeneous nano‐architecture wherein a nanoporous surface layer continuously extracts serum and the biosensing nanochannels underneath dynamically detect the biotarget fluctuation, thereby achieving online and dynamic tests of various vital clinical indices during blood drawing in patients from a variety of medical scenarios, including liver transplantation and endometrial cancer.