Abstract
The rapid progress of nanomedicine, especially in areas related to medical imaging and diagnostics, has motivated the development of new nanomaterials that can be combined with biological materials for specific medical applications. One such area of research involves the detection of specific DNA sequences for the early diagnosis of genetic diseases, using nanoparticles-containing genosensors. Typical genosensors devices are based on the use of sensing electrodes – biorecognition platforms - containing immobilized capture DNA probes capable of hybridizing with specific target DNA sequences. In this paper we show that upon an appropriate design of the biorecognition platform, efficient sandwich-type genosensors based upon DNA-AuNPs nanocomplexes can be efficiently applied to the detection of a Systemic Arterial Hypertension (SAH) polymorphism located in intron 16 of the Angiotensin-converter enzyme (ACE) gene. Since SAH is intimately related to heart diseases, especially blood hypertension, its early detection is of great biomedical interest. The biorecognition platforms were assembled using mixed self-assembled monolayers (SAMmix), which provided the immobilization of organized architectures with molecular control. Detection of the DNA target sequence at concentrations down to 1 nM was carried out using electrochemical impedance spectroscopy (EIS). We show that the use of EIS combined with specific nanobiocomplexes represents an efficient method for the unambiguous detection of complementary DNA hybridization for preventative nanomedicine applications.
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Acknowledgments
The authors acknowledge the financial support of the Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP (Proc. No. 2010/14565-1), CNPq and CAPES. We are grateful to Dr. Francisco Eduardo Gontijo Guimarães for his help in acquiring the confocal images and Ms. Valéria Spolon Marangoni for TEM images.
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Rolim, T., Cancino, J. & Zucolotto, V. A nanostructured genosensor for the early diagnosis of systemic arterial hypertension. Biomed Microdevices 17, 3 (2015). https://doi.org/10.1007/s10544-014-9911-z
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DOI: https://doi.org/10.1007/s10544-014-9911-z