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Simultaneous cortisol/insulin microchip detection using dual enzyme tagging
- Source :
- Biosensors and Bioelectronics. 167:112512
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Here we describe the development of a dual electrochemical immunosensor microchip for simultaneous detection of insulin (I) and cortisol (C) biomarkers that can enhance the ability to improve glucose regulation using automated insulin delivery. The successful realization of the simultaneous I and C measurements has been realized by integrating different enzymatically-tagged competitive and sandwich immunoassay formats on a single chip platform. The insulin detection is based on a peroxidase (HRP)-labeled sandwich assay whereas the cortisol detection relies on an alkaline phosphatase (ALP)-labeled competitive immunoassay. The attractive analytical performance of the dual marker immunosensor, with no apparent cross-talk, was achieved through systematic optimization of the incubation and amperometric detection of the different captured enzyme tags. Evaluation of dual biosensor chip in untreated serum samples indicated favorable simultaneous detection of picomolar (pM) insulin and nanomolar (nM) cortisol concentrations in a single microliter sample droplet within less than 25min. The new dual immunosensor chip offers considerable promise for frequent decentralized testing of I and C towards a tighter glycemic control and improved management of diabetes.
- Subjects :
- Hydrocortisone
medicine.medical_treatment
Biomedical Engineering
Biophysics
Biosensing Techniques
02 engineering and technology
01 natural sciences
Electrochemistry
medicine
Insulin
Sandwich immunoassay
Electrodes
Immunoassay
chemistry.chemical_classification
Chromatography
medicine.diagnostic_test
010401 analytical chemistry
General Medicine
021001 nanoscience & nanotechnology
Amperometry
0104 chemical sciences
Enzyme
chemistry
Alkaline phosphatase
Blood sugar regulation
0210 nano-technology
Biosensor
Biotechnology
Subjects
Details
- ISSN :
- 09565663
- Volume :
- 167
- Database :
- OpenAIRE
- Journal :
- Biosensors and Bioelectronics
- Accession number :
- edsair.doi.dedup.....d5b68e834a7c8a4f4dccc6a0d130ddc3