Abstract

Despite the fact that the electrochemical biosensors based on glucose oxidase represent the golden standard for the management of diabetes, the elaboration of nonenzymatic sensors became extensively studied as an out-of-the-box concept that aims to simplify the existing approach. An important point of view is represented by the low price of the sensing device that has positive effects for both end-users and healthcare systems. The enzyme-free sensors based on low-cost materials such as transition metals have similar analytical properties to the commercial ones while eliminating the issues associated with the presence of the enzyme, such as the stability issues and limited shelf-life. The development of nanoporous nanomaterials for biomedical applications and electrocatalysis was referred to as an alternative to the conventional methods due to their enlarged area, electrical properties, ease of functionalization and not least to their low cost. Herein, we report the development of an electrochemical nonenzymatic sensor for glucose based on 3D copper nanostructures with Ni foams as promotor of the enhanced nanoporous morphology. The sensors were successfully tested in the presence of the designated target, even in the presence of common interference agents found in biological samples.

Highlights

  • The World Health Organization recently reported more than 422 million people suffering from diabetes, especially in developing and poor countries [1]

  • Considering everything discussed above, this paper aims to assess a novel sensing platform for the non-enzymatic electrochemical detection of Glu based on 3D electroformed copper nanostructures with enhanced porosity

  • scanning electron microscopy (SEM) images showed the growth of porous architectures usually consisting of pores having diameters in the range of 10 to 20 μm and an internal structure of the Cu deposit possessing a globular-like structure with an average diameter of about 100 nm

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Summary

Introduction

The World Health Organization recently reported more than 422 million people suffering from diabetes, especially in developing and poor countries [1]. Diabetes is a serious chronic disease that occurs in two cases: the pancreas is not able to produce enough insulin or the body cannot effectively use the insulin it produces [1]. Diabetes of all types is a serious health issue leading to complications and with an increased overall risk of dying prematurely. The most reported complications include heart attack, stroke, kidney failure, leg amputation, vision loss and nerve damage. Controlled diabetes increases the risk of fetal death and other complications during pregnancy. A very useful and affordable method that should be available in primary healthcare settings is the access to basic diagnostics, such as blood

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