Diagnostics Strategies with Electrochemical Affinity Biosensors Using Carbon Nanomaterials as Electrode Modifiers



Downloads per month over past year

Campuzano Ruiz, Susana and Yáñez Sedeño, Paloma and Pingarrón Carrazón, José Manuel (2016) Diagnostics Strategies with Electrochemical Affinity Biosensors Using Carbon Nanomaterials as Electrode Modifiers. Diagnostics, 7 (1). p. 2. ISSN 2075-4418

[thumbnail of diagnostics-07-00002-v2.pdf]
Creative Commons Attribution.


Official URL: https://doi.org/10.3390/diagnostics7010002


Early diagnosis is often the key to successful patient treatment and survival. The identification of various disease signaling biomarkers which reliably reflect normal and disease states in humans in biological fluids explain the burgeoning research field in developing new methodologies able to determine the target biomarkers in complex biological samples with the required sensitivity and selectivity and in a simple and rapid way. The unique advantages offered by electrochemical sensors together with the availability of high affinity and specific bioreceptors and their great capabilities in terms of sensitivity and stability imparted by nanostructuring the electrode surface with different carbon nanomaterials have led to the development of new electrochemical biosensing strategies that have flourished as interesting alternatives to conventional methodologies for clinical diagnostics. This paper briefly reviews the advantages of using carbon nanostructures and their hybrid nanocomposites as electrode modifiers to construct efficient electrochemical sensing platforms for diagnosis. The review provides an updated overview of some selected examples involving attractive amplification and biosensing approaches which have been applied to the determination of relevant genetic and protein diagnostics biomarkers.

Item Type:Article
Uncontrolled Keywords:electrochemical affinity biosensors; diagnosis; carbon nanostructures; graphene; oligonucleotides; proteins; antibodies
Subjects:Sciences > Chemistry > Analytic chemistry
ID Code:66272
Deposited On:29 Jun 2021 14:27
Last Modified:07 Jul 2021 07:35

Origin of downloads

Repository Staff Only: item control page