Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials

Abstract The analysis of DNA has led to revolutionary advancements in the fields of medical diagnostics, genomics, prenatal screening, and forensic science, with the global DNA testing market expected to reach revenues of USD 10.04 billion per year by 2020. However, the current methods for DNA analy...

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Autores principales:	Lindsay M. Freeman, Lin Pang, Yeshaiahu Fainman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/884ad54a1ee3422b8e0aad079d4dcfa5
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spelling	oai:doaj.org-article:884ad54a1ee3422b8e0aad079d4dcfa52021-12-02T11:40:36ZSelf-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials10.1038/s41598-018-25444-22045-2322https://doaj.org/article/884ad54a1ee3422b8e0aad079d4dcfa52018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25444-2https://doaj.org/toc/2045-2322Abstract The analysis of DNA has led to revolutionary advancements in the fields of medical diagnostics, genomics, prenatal screening, and forensic science, with the global DNA testing market expected to reach revenues of USD 10.04 billion per year by 2020. However, the current methods for DNA analysis remain dependent on the necessity for fluorophores or conjugated proteins, leading to high costs associated with consumable materials and manual labor. Here, we demonstrate a potential label-free DNA composition detection method using surface-enhanced Raman spectroscopy (SERS) in which we identify the composition of cytosine and adenine within single strands of DNA. This approach depends on the fact that there is one phosphate backbone per nucleotide, which we use as a reference to compensate for systematic measurement variations. We utilize plasmonic nanomaterials with random Raman sampling to perform label-free detection of the nucleotide composition within DNA strands, generating a calibration curve from standard samples of DNA and demonstrating the capability of resolving the nucleotide composition. The work represents an innovative way for detection of the DNA composition within DNA strands without the necessity of attached labels, offering a highly sensitive and reproducible method that factors in random sampling to minimize error.Lindsay M. FreemanLin PangYeshaiahu FainmanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lindsay M. Freeman Lin Pang Yeshaiahu Fainman Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
description	Abstract The analysis of DNA has led to revolutionary advancements in the fields of medical diagnostics, genomics, prenatal screening, and forensic science, with the global DNA testing market expected to reach revenues of USD 10.04 billion per year by 2020. However, the current methods for DNA analysis remain dependent on the necessity for fluorophores or conjugated proteins, leading to high costs associated with consumable materials and manual labor. Here, we demonstrate a potential label-free DNA composition detection method using surface-enhanced Raman spectroscopy (SERS) in which we identify the composition of cytosine and adenine within single strands of DNA. This approach depends on the fact that there is one phosphate backbone per nucleotide, which we use as a reference to compensate for systematic measurement variations. We utilize plasmonic nanomaterials with random Raman sampling to perform label-free detection of the nucleotide composition within DNA strands, generating a calibration curve from standard samples of DNA and demonstrating the capability of resolving the nucleotide composition. The work represents an innovative way for detection of the DNA composition within DNA strands without the necessity of attached labels, offering a highly sensitive and reproducible method that factors in random sampling to minimize error.
format	article
author	Lindsay M. Freeman Lin Pang Yeshaiahu Fainman
author_facet	Lindsay M. Freeman Lin Pang Yeshaiahu Fainman
author_sort	Lindsay M. Freeman
title	Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
title_short	Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
title_full	Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
title_fullStr	Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
title_full_unstemmed	Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials
title_sort	self-reference and random sampling approach for label-free identification of dna composition using plasmonic nanomaterials
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/884ad54a1ee3422b8e0aad079d4dcfa5
work_keys_str_mv	AT lindsaymfreeman selfreferenceandrandomsamplingapproachforlabelfreeidentificationofdnacompositionusingplasmonicnanomaterials AT linpang selfreferenceandrandomsamplingapproachforlabelfreeidentificationofdnacompositionusingplasmonicnanomaterials AT yeshaiahufainman selfreferenceandrandomsamplingapproachforlabelfreeidentificationofdnacompositionusingplasmonicnanomaterials
_version_	1718395592771633152

Self-reference and random sampling approach for label-free identification of DNA composition using plasmonic nanomaterials

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