Transforming the blood glucose meter into a general healthcare meter for in vitro diagnostics in mobile health

被引:88
作者
Lan, Tian [1 ]
Zhang, Jingjing [2 ]
Lu, Yi [2 ]
机构
[1] GlucoSentient Inc, 60 Hazelwood Dr, Champaign, IL 61820 USA
[2] Univ Illinois, Dept Chem, 601 S Mathews Ave, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
Blood Glucose Meter; In vitro diagnostics; Point of care; Immunoassay; Aptamer; DNAzyme; Molecular diagnostics; Enzymatic activity assay; Biosensors; Mobile health; DIRECT ELECTRON-TRANSFER; CARBON NANOTUBE HYBRID; QUANTITATIVE DETECTION; CLEAVING DNA; LOW-COST; ELECTROCHEMICAL DETECTION; PORTABLE QUANTIFICATION; POSITIVE INTERFERENCE; MOLECULAR RECOGNITION; SENSITIVE DETECTION;
D O I
10.1016/j.biotechadv.2016.03.002
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recent advances in mobile network and smartphones have provided an enormous opportunity for transforming in vitro diagnostics (IVD) from central labs to home or other points of care (POC). A major challenge to achieving the goal is a long time and high costs associated with developing POC IVD devices in mobile Health (mHealth). Instead of developing a new POC device for every new ND target, we and others are taking advantage of decades of research, development, engineering and continuous improvement of the blood glucose meter (BGM), including those already integrated with smartphones, and transforming the BGM into a general healthcare meter for POC IVDs of a wide range of biomarkers, therapeutic drugs and other analytical targets. In this review, we summarize methods to transduce and amplify selective binding of targets by antibodies, DNA/RNA aptamers, DNAzyme/ribozymes and protein enzymes into signals such as glucose or NADH that can be measured by commercially available BGM, making it possible to adapt many clinical assays performed in central labs, such as immunoassays, aptamer/DNAzyme assays, molecular diagnostic assays, and enzymatic activity assays onto BGM platform for quantification of non-glucose targets for a wide variety of IVDs in mHealth. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:331 / 341
页数:11
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