Ultrasensitive Detection and in Situ Imaging of Analytes on Graphene Oxide Analogues Using Enhanced Raman Spectroscopy

Sachin Nair; Jun Gao; Cees Otto; Michael H.G. Duits; Frieder Mugele

doi:10.1021/acs.analchem.1c02581

Ultrasensitive Detection and in Situ Imaging of Analytes on Graphene Oxide Analogues Using Enhanced Raman Spectroscopy

Sachin Nair^*
, Jun Gao
, Cees Otto
, Michael H.G. Duits
, Frieder Mugele^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

47 Downloads (CityUHK Scholars)

Abstract

We demonstrate how algorithm-improved confocal Raman microscopy (ai-CRM), in combination with chemical enhancement by two-dimensional substrates, can be used as an ultrasensitive detection method for rhodamine (R6G) molecules adsorbed from aqueous solutions. After developing a protocol for laser-induced reduction of graphene oxide, followed by noninvasive Raman imaging, a limit of detection (LOD) of 5 × 10^-10M R6G was achieved using ai-CRM. An equivalent subnanomolar LOD was also achieved on another graphene oxide analogue −UV/ozone-oxidized graphene. These record-breaking detection capabilities also enabled us to study the adsorption kinetics and image the spatial distribution of the adsorbed R6G. These findings indicate a strong potential for algorithm-improved graphene-enhanced Raman spectroscopy as a facile method for detecting, imaging, and quantifying trace amounts of adsorbing molecules on a variety of 2D substrates.

Original language	English
Pages (from-to)	12966-12972
Journal	Analytical Chemistry
Volume	93
Issue number	38
Online published	14 Sept 2021
DOIs	https://doi.org/10.1021/acs.analchem.1c02581
Publication status	Published - 28 Sept 2021
Externally published	Yes

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This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

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title = "Ultrasensitive Detection and in Situ Imaging of Analytes on Graphene Oxide Analogues Using Enhanced Raman Spectroscopy",

abstract = "We demonstrate how algorithm-improved confocal Raman microscopy (ai-CRM), in combination with chemical enhancement by two-dimensional substrates, can be used as an ultrasensitive detection method for rhodamine (R6G) molecules adsorbed from aqueous solutions. After developing a protocol for laser-induced reduction of graphene oxide, followed by noninvasive Raman imaging, a limit of detection (LOD) of 5 × 10-10M R6G was achieved using ai-CRM. An equivalent subnanomolar LOD was also achieved on another graphene oxide analogue −UV/ozone-oxidized graphene. These record-breaking detection capabilities also enabled us to study the adsorption kinetics and image the spatial distribution of the adsorbed R6G. These findings indicate a strong potential for algorithm-improved graphene-enhanced Raman spectroscopy as a facile method for detecting, imaging, and quantifying trace amounts of adsorbing molecules on a variety of 2D substrates.",

author = "Sachin Nair and Jun Gao and Cees Otto and Duits, \{Michael H.G.\} and Frieder Mugele",

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journal = "Analytical Chemistry",

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T1 - Ultrasensitive Detection and in Situ Imaging of Analytes on Graphene Oxide Analogues Using Enhanced Raman Spectroscopy

AU - Nair, Sachin

AU - Gao, Jun

AU - Otto, Cees

AU - Duits, Michael H.G.

AU - Mugele, Frieder

PY - 2021/9/28

Y1 - 2021/9/28

N2 - We demonstrate how algorithm-improved confocal Raman microscopy (ai-CRM), in combination with chemical enhancement by two-dimensional substrates, can be used as an ultrasensitive detection method for rhodamine (R6G) molecules adsorbed from aqueous solutions. After developing a protocol for laser-induced reduction of graphene oxide, followed by noninvasive Raman imaging, a limit of detection (LOD) of 5 × 10-10M R6G was achieved using ai-CRM. An equivalent subnanomolar LOD was also achieved on another graphene oxide analogue −UV/ozone-oxidized graphene. These record-breaking detection capabilities also enabled us to study the adsorption kinetics and image the spatial distribution of the adsorbed R6G. These findings indicate a strong potential for algorithm-improved graphene-enhanced Raman spectroscopy as a facile method for detecting, imaging, and quantifying trace amounts of adsorbing molecules on a variety of 2D substrates.

AB - We demonstrate how algorithm-improved confocal Raman microscopy (ai-CRM), in combination with chemical enhancement by two-dimensional substrates, can be used as an ultrasensitive detection method for rhodamine (R6G) molecules adsorbed from aqueous solutions. After developing a protocol for laser-induced reduction of graphene oxide, followed by noninvasive Raman imaging, a limit of detection (LOD) of 5 × 10-10M R6G was achieved using ai-CRM. An equivalent subnanomolar LOD was also achieved on another graphene oxide analogue −UV/ozone-oxidized graphene. These record-breaking detection capabilities also enabled us to study the adsorption kinetics and image the spatial distribution of the adsorbed R6G. These findings indicate a strong potential for algorithm-improved graphene-enhanced Raman spectroscopy as a facile method for detecting, imaging, and quantifying trace amounts of adsorbing molecules on a variety of 2D substrates.

UR - https://www.scopus.com/pages/publications/85115995540

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85115995540&origin=recordpage

U2 - 10.1021/acs.analchem.1c02581

DO - 10.1021/acs.analchem.1c02581

M3 - RGC 21 - Publication in refereed journal

C2 - 34517698

SN - 0003-2700

VL - 93

SP - 12966

EP - 12972

JO - Analytical Chemistry

JF - Analytical Chemistry

IS - 38

ER -

Ultrasensitive Detection and in Situ Imaging of Analytes on Graphene Oxide Analogues Using Enhanced Raman Spectroscopy

Abstract

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