文献类型：期刊文献

英文题名：A colorimetric paper sensor for lactate assay using a cellulose-Binding recombinant enzyme

作者：Dai, Guoying[1,2];Hu, Jinglin[2];Zhao, Xueyan[3];Wang, Ping[1,2]

机构：[1]East China Univ Sci & Technol, Biomed Nanotechnol Ctr, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China;[2]Univ Minnesota, Dept Bioprod & Biosyst Engn, St Paul, MN 55108 USA;[3]Calif Baptist Univ, Dept Chem Engn, Riverside, CA 92504 USA

年份：2017

卷号：238

起止页码：138

外文期刊名：SENSORS AND ACTUATORS B-CHEMICAL

收录：;EI(收录号：20164102897117);WOS:【SCI-EXPANDED(收录号:WOS:000388948600019)】；

基金：Dai thanks Chinese Scholarship Council for the support of an international scholarship for visiting research at UMN, and support from National Science Foundation of China (21303050 and 31471659). Wang thanks partial support from Industrial Partnership for Research in Interfacial and Materials Engineering (IPRIME) of University of Minnesota.

语种：英文

外文关键词：Paper-based biosensor; Cellulose binding domain; Lactate; Lactate dehydrogenase; Enzyme; Biocatalysis

摘要：A new fabrication technology for effective preparation of paper-based biosensors using affinity-binding enzymes is developed. Lactate dehydrogenase (LDH) fused with a cellulose binding domain (CBD) is produced to allow one-step purification and immobilization of the enzyme on paper. Results demonstrate that the binding capacity of the recombinant enzyme is as high as 22 mg-enzyme/g-paper, with much improved stability (by a factor of 25-fold) in comparison to the native parent enzyme. That ensures the solid phase bioassay reactions on surface of the paper sensor are not limited by enzyme availability, and affords much extended sensor shelf life at the same time. The paper sensor shows a linear detection range of 0.5-8 mM of lactate, with changes in color intensity detectable within a much broader concentration range examined (up to 16 mM). The colorimetric display is suited for readouts using either human eyes or hand-held imaging devices such as smart phones. This work promises of a new strategy of developing high performance paper-based sensors for point-of-care diagnosis applications. (C) 2016 Published by Elsevier B.V.