Literature DB >> 26726446

Colorimetric Quantification of Glucose and Cholesterol in Human Blood Using a Nanocomposite Entrapping Magnetic Nanoparticles and Oxidases.

Moon Il Kim, Daeyeon Cho, Hyun Gyu Park.   

Abstract

In this study, a microscale well-plate colorimetric assay for the multiplexed detection of glucose and cholesterol in clinical human blood samples has been developed. This system utilized one-pot nanocomposite entrapping Fe3O4 magnetic nanoparticles (MNPs) as peroxidase mimetics and glucose oxidase (GOx)/cholesterol oxidase (ChOx) in mesoporous silica to detect glucose and cholesterol in blood samples. The sensing mechanism involves the generation of H2O2 by the catalytic action of an immobilized oxidase on the target molecules in the sample. This subsequently activates the MNPs in the mesopores, thereby leading to the conversion of the substrate into a colored end product. This strategy is used to detect the target glucose or cholesterol molecules in the concentration range of 15-250 mg/dL. The response is highly linear and the lower detection limit is 7.5 mg/dL. The aforementioned colorimetric assay is extremely convenient, and it exhibits a high degree of linearity, precision, and reproducibility when employing real human blood samples. Therefore, this assay can be used in clinical practice for the multiplexed and reliable quantification of glucose and cholesterol.

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Year:  2015        PMID: 26726446     DOI: 10.1166/jnn.2015.11227

Source DB:  PubMed          Journal:  J Nanosci Nanotechnol        ISSN: 1533-4880


  3 in total

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Authors:  Chunming Su
Journal:  J Hazard Mater       Date:  2016-07-01       Impact factor: 10.588

Review 2.  Iron Oxide Nanozyme: A Multifunctional Enzyme Mimetic for Biomedical Applications.

Authors:  Lizeng Gao; Kelong Fan; Xiyun Yan
Journal:  Theranostics       Date:  2017-07-22       Impact factor: 11.556

3.  A Simple and Effective Colorimetric Assay for Glucose Based on MnO₂ Nanosheets.

Authors:  Zhengjun Huang; Linlin Zheng; Feng Feng; Yuyuan Chen; Zhenzhen Wang; Zhen Lin; Xinhua Lin; Shaohuang Weng
Journal:  Sensors (Basel)       Date:  2018-08-02       Impact factor: 3.576

  3 in total

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