Selective label-free electrochemical impedance measurement of glycated haemoglobin on 3-aminophenylboronic acid-modified eggshell membranes

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• 作者：Yuwadee Boonyasit ; Arto Heiskanen…
• 关键词：Glycated haemoglobin (HbA1c) ; Diabetes mellitus ; 3 ; aminophenyl boronic acid ; Eggshell membrane ; Membrane ; based biosensor ; Selective label ; free electrochemical detection
• 刊名：Analytical and Bioanalytical Chemistry
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：407
• 期：18
• 页码：5287-5297
• 全文大小：880 KB
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• 作者单位：Yuwadee Boonyasit (1)
  Arto Heiskanen (2)
  Orawan Chailapakul (3) (4)
  Wanida Laiwattanapaisal (5)
  
  1. Graduate Program in Clinical Biochemistry and Molecular Medicine, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
  2. Department of Micro- and Nanotechnology, Technical University of Denmark, 2800, Kgs. Lyngby, Denmark
  3. Electrochemistry and Optical Spectroscopy Research Unit (EOSRU), Department of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand
  4. Center of Excellence on Petrochemical and Materials Technology (PETROMAT), Chulalongkorn University, Bangkok, 10330, Thailand
  5. Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Analytical Chemistry
  Food Science
  Inorganic Chemistry
  Physical Chemistry
  Monitoring, Environmental Analysis and Environmental Ecotoxicology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1618-2650

文摘

We propose a novel alternative approach to long-term glycaemic monitoring using eggshell membranes (ESMs) as a new immobilising platform for the selective label-free electrochemical sensing of glycated haemoglobin (HbA1c), a vital clinical index of the glycaemic status in diabetic individuals. Due to the unique features of a novel 3-aminophenylboronic acid-modified ESM, selective binding was obtained via cis–diol interactions. This newly developed device provides clinical applicability as an affinity membrane-based biosensor for the identification of HbA1c over a clinically relevant range (2.3 - 14 %) with a detection limit of 0.19?%. The proposed membrane-based biosensor also exhibited good reproducibility. When analysing normal and abnormal HbA1c levels, the within-run coefficients of variation were 1.68 and 1.83?%, respectively. The run-to-run coefficients of variation were 1.97 and 2.02?%, respectively. These results demonstrated that this method achieved the precise and selective measurement of HbA1c. Compared with a commercial HbA1c kit, the results demonstrated excellent agreement between the techniques (n--5), demonstrating the clinical applicability of this sensor for monitoring glycaemic control. Thus, this low-cost sensing platform using the proposed membrane-based biosensor is ideal for point-of-care diagnostics.