Optimization of Porous Silicon Conditions for DNA-based Biosensing via Reflectometric Interference Spectroscopy.

BRCA1 Gene Biosensor Nanochip Analytical Device

Journal

Cell journal
ISSN: 2228-5806
Titre abrégé: Cell J
Pays: Iran
ID NLM: 101566618

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 30 10 2017
accepted: 12 02 2018
entrez: 21 8 2018
pubmed: 21 8 2018
medline: 21 8 2018
Statut: ppublish

Résumé

Substantial effort has been put into designing DNA-based biosensors, which are commonly used to detect presence of known sequences including the quantification of gene expression. Porous silicon (PSi), as a nanostructured base, has been commonly used in the fabrication of optimally transducing biosensors. Given that the function of any PSi-based biosensor is highly dependent on its nanomorphology, we systematically optimized a PSi biosensor based on reflectometric interference spectroscopy (RIS) detecting the high penetrance breast cancer susceptibility gene, BRCA1. In this experimental study, PSi pore sizes on the PSi surface were controlled for optimum filling with DNA oligonucleotides and surface roughness was optimized for obtaining higher resolution RIS patterns. In addition, the influence of two different organic electrolyte mixtures on the formation and morphology of the pores, based on various current densities and etching times on doped p-type silicon, were examined. Moreover, we introduce two cleaning processes which can efficiently remove the undesirable outer parasitic layer created during PSi formation. Results of all the optimization steps were observed by field emission scanning electron microscopy (FE-SEM). DNA sensing reached its optimum when PSi was formed in a two-step process in the ethanol electrolyte accompanied by removal of the parasitic layer in NaOH solution. These optimal conditions, which result in pore sizes of approximately 20 nm as well as a low surface roughness, provide a considerable RIS shift upon complementary sequence hybridization, suggesting efficient detectability. We demonstrate that the optimal conditions identified here makes PSi an attractive solid-phase DNA-based biosensing method and may be used to not only detect full complementary DNA sequences, but it may also be used for detecting point mutations such as single nucleotide substitutions and indels.

Identifiants

pubmed: 30124007
doi: 10.22074/cellj.2019.5598
pmc: PMC6099142
doi:

Types de publication

Journal Article

Langues

eng

Pagination

584-591

Informations de copyright

Copyright© by Royan Institute. All rights reserved.

Déclaration de conflit d'intérêts

There is no conflict of interest in this study.

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Auteurs

Fereshteh Rahimi (F)

Division of Nanobiotechnoloy, Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran. Electronic Affress: rahimi.f@ut.ac.ir.

Somayeh Fardindoost (S)

Department of Physics, Sharif University of Technology, Tehran, Iran.

Naser Ansari-Pour (N)

Biotechnology Group, Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran. Electronic Address: n.ansaripour@ut.ac.ir.

Fatemeh Sepehri (F)

Division of Nanobiotechnoloy, Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

Farideh Makiyan (F)

Division of Nanobiotechnoloy, Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

Azizollah Shafiekhani (A)

Department of Physics, Alzahra University, Tehran, Iran.
School of Physics, Institute for Research in Fundamental Sciences, Tehran, Iran.

Ali Hossein Rezayan (AH)

Division of Nanobiotechnoloy, Department of Life Science Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.

Classifications MeSH