Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Abstract Arsenic is a major global threat to the ecosystem. Here we describe a highly accurate sensing platform using silica nanoparticles/graphene at the surface of aluminum interdigitated electrodes (Al IDE), able to detect trace amounts of arsenic(III) in rice grain samples. The morphology and el...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	M. N. A. Uda, Subash C. B. Gopinath, Uda Hashim, N. H. Halim, N. A. Parmin, M. N. Afnan Uda, Tijjani Adam, Periasamy Anbu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7624a936311444fcbe286e7267ba192f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7624a936311444fcbe286e7267ba192f
record_format	dspace
spelling	oai:doaj.org-article:7624a936311444fcbe286e7267ba192f2021-12-02T16:26:23ZSilica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor10.1038/s41598-021-94145-02045-2322https://doaj.org/article/7624a936311444fcbe286e7267ba192f2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94145-0https://doaj.org/toc/2045-2322Abstract Arsenic is a major global threat to the ecosystem. Here we describe a highly accurate sensing platform using silica nanoparticles/graphene at the surface of aluminum interdigitated electrodes (Al IDE), able to detect trace amounts of arsenic(III) in rice grain samples. The morphology and electrical properties of fabricated Al IDEs were characterized and standardized using AFM, and SEM with EDX analyses. Micrometer scale Al IDEs were fabricated with silicon, aluminum, and oxygen as primary elements. Validation of the bare Al IDE with electrolyte fouling was performed at different pH levels. The sensing surface was stable with no electrolyte fouling at pH 7. Each chemical modification step was monitored with current–volt measurement. The surface chemical bonds were characterized by fourier transform infrared spectroscopy (FTIR) and revealed different peaks when interacting with arsenic (1600–1000 cm−1). Both silica nanoparticles and graphene presented a sensitive limit of detection as measured by slope calibration curves at 0.0000001 pg/ml, respectively. Further, linear regression was established using ΔI (A) = 3.86 E−09 log (Arsenic concentration) [g/ml] + 8.67 E−08 [A] for silica nanoparticles, whereas for graphene Y = 3.73 E−09 (Arsenic concentration) [g/ml] + 8.52 E−08 on the linear range of 0.0000001 pg/ml to 0.01 pg/ml. The R2 for silica (0.96) and that of graphene (0.94) was close to the maximum (1). Modification with silica nanoparticles was highly stable. The potential use of silica nanoparticles in the detection of arsenic in rice grain extract can be attributed to their size and stability.M. N. A. UdaSubash C. B. GopinathUda HashimN. H. HalimN. A. ParminM. N. Afnan UdaTijjani AdamPeriasamy AnbuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q M. N. A. Uda Subash C. B. Gopinath Uda Hashim N. H. Halim N. A. Parmin M. N. Afnan Uda Tijjani Adam Periasamy Anbu Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
description	Abstract Arsenic is a major global threat to the ecosystem. Here we describe a highly accurate sensing platform using silica nanoparticles/graphene at the surface of aluminum interdigitated electrodes (Al IDE), able to detect trace amounts of arsenic(III) in rice grain samples. The morphology and electrical properties of fabricated Al IDEs were characterized and standardized using AFM, and SEM with EDX analyses. Micrometer scale Al IDEs were fabricated with silicon, aluminum, and oxygen as primary elements. Validation of the bare Al IDE with electrolyte fouling was performed at different pH levels. The sensing surface was stable with no electrolyte fouling at pH 7. Each chemical modification step was monitored with current–volt measurement. The surface chemical bonds were characterized by fourier transform infrared spectroscopy (FTIR) and revealed different peaks when interacting with arsenic (1600–1000 cm−1). Both silica nanoparticles and graphene presented a sensitive limit of detection as measured by slope calibration curves at 0.0000001 pg/ml, respectively. Further, linear regression was established using ΔI (A) = 3.86 E−09 log (Arsenic concentration) [g/ml] + 8.67 E−08 [A] for silica nanoparticles, whereas for graphene Y = 3.73 E−09 (Arsenic concentration) [g/ml] + 8.52 E−08 on the linear range of 0.0000001 pg/ml to 0.01 pg/ml. The R2 for silica (0.96) and that of graphene (0.94) was close to the maximum (1). Modification with silica nanoparticles was highly stable. The potential use of silica nanoparticles in the detection of arsenic in rice grain extract can be attributed to their size and stability.
format	article
author	M. N. A. Uda Subash C. B. Gopinath Uda Hashim N. H. Halim N. A. Parmin M. N. Afnan Uda Tijjani Adam Periasamy Anbu
author_facet	M. N. A. Uda Subash C. B. Gopinath Uda Hashim N. H. Halim N. A. Parmin M. N. Afnan Uda Tijjani Adam Periasamy Anbu
author_sort	M. N. A. Uda
title	Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
title_short	Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
title_full	Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
title_fullStr	Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
title_full_unstemmed	Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
title_sort	silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7624a936311444fcbe286e7267ba192f
work_keys_str_mv	AT mnauda silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT subashcbgopinath silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT udahashim silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT nhhalim silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT naparmin silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT mnafnanuda silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT tijjaniadam silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor AT periasamyanbu silicaandgraphenemediatearsenicdetectioninmaturericegrainbyanewlypatternedcurrentvoltaptasensor
_version_	1718384058878132224

Silica and graphene mediate arsenic detection in mature rice grain by a newly patterned current–volt aptasensor

Ejemplares similares