Gold nanoparticles as a substrate in bio-analytical near-infrared surface-enhanced Raman spectroscopy

Butler, Holly J.; Fogarty, Simon W.; Kerns, Jemma G.; Martin‐Hirsch, Pierre L.; Fullwood, Nigel J.; Martin, Francis

doi:10.1039/c4an01899k

Cited by 33 publications

(33 citation statements)

References 36 publications

(47 reference statements)

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“…The acquired SERS spectra are presented in Figure 5 a). 51 The way the AuNPs were fabricated played a minor role in enhancing the signal. However, the large nanoparticles were chosen for further studies because the maximun of their UV-VIS spectra was closest to 785nm and they provided more consistent spectra compared to the other AuNPs, which originated from the lower amount of background peaks thus giving a better resolution.…”

Section: Aunp Characterisationmentioning

confidence: 99%

Detection of Listeria innocua on roll-to-roll produced SERS substrates with gold nanoparticles

et al. 2016

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The rapid and accurate detection of food pathogens plays a critical role in the early prevention of foodborne epidemics.Current bacteria identification practises, including colony counting, polymerase chain reaction (PCR) and immunological methods, are time consuming and labour intensive; they are not ideal for achieving the required immediate diagnosis. Different SERS substrates have been studied for the detection of foodborne microbes. The majority of the approaches are either based on costly patterning techniques on silicon or glass wafers or on methods which have not been tested in large scale fabrication. We demonstrate the feasibility of analyte specific sensing using mass-produced, polymer-based low-cost SERS substrate in analysing the chosen model microbe with biological recognition. The use of this novel roll-to-roll fabricated SERS substrate was combined with optimised gold nanoparticles to increase the detection sensitivity.Distinctive SERS spectral bands were recorded for Listeria innocua ATCC 33090 using an in-house build (785 nm) near infra red (NIR) Raman system. Results were compared to both those found in the literature and the results obtained from a commercial time-gated Raman system with a 532 nm wavelength laser excitation. The effect of the SERS enhancer metal and the excitation wavelength on the detected spectra was found to be negligible. The hypothesis that disagreements within the literature regarding bacterial spectral results from conditions present during the detection process has not been supported. The sensitivity of our SERS detection was improved through optimization of the concentration of the sample inside the hydrophobic polydimethylsiloxane (PDMS) wells. Immuno-magnetic separation (IMS) beads were used to assist the accumulation of bacteria into the path of the beam of the excitation laser. With this combination we have detected L i s t e r i a w i t h g o l d e n h a n c e d S E R S i n a l a b e l f r e e m a n n e r f r o m s u c h l o w s a m p l e c o n c e n t r a t i o n s a s 1 0 4 CFU/ml.Figure 10. a) A normalised concentration series for LOD estimation. b) An exponential fit for the normalised concentration series in logarithmic scale for the entire series and a linear fit for the small concentrations. c) Comparison of the 737 cm -1 peak intensity for different concentration series with 5 -10 µl dried IMS bound L. innocua ATCC 33090 samples placed with AuNPs into a 1 -1.5 mm PDMS well on top of SERS substrate. d) Comparison of baseline corrected Raman intensities for three of the concentration series. All figures are a mean of 9 measurement points with mean absolute deviations.

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Section: Aunp Characterisationmentioning

confidence: 99%

Detection of Listeria innocua on roll-to-roll produced SERS substrates with gold nanoparticles

et al. 2016

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“…SERS spectra were initially processed in LabSpec 6 (software provided with the Raman system) for cosmic ray removal and background correction. The spectral data were then inputted into MATLAB and preprocessed following wavelet de-noising, cut to 400–1800 cm −1 , second differentiation and vector normalisation (36). The differentiation is employed both as a means of baseline correction and to resolve overlapped bands (23).…”

Section: Animals Materials and Methodsmentioning

confidence: 99%

Diet-sourced carbon-based nanoparticles induce lipid alterations in tissues of zebrafish (Danio rerio) with genomic hypermethylation changes in brain

Gorrochategui

Li²,

Fullwood

et al. 2016

MUTAGE

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With rising environmental levels of carbon-based nanoparticles (CBNs), there is an urgent need to develop an understanding of their biological effects in order to generate appropriate risk assessment strategies. Herein, we exposed zebrafish via their diet to one of four different CBNs: C60 fullerene (C60), single-walled carbon nanotubes (SWCNT), short multi-walled carbon nanotubes (MWCNTs) or long MWCNTs. Lipid alterations in male and female zebrafish were explored post-exposure in three target tissues (brain, gonads and gastrointestinal tract) using ‘omic’ procedures based in liquid chromatography coupled with mass spectrometry (LC-MS) data files. These tissues were chosen as they are often target tissues following environmental exposure. Marked alterations in lipid species are noted in all three tissues. To further explore CBN-induced brain alterations, Raman microspectroscopy analysis of lipid extracts was conducted. Marked lipid alterations are observed with males responding differently to females; in addition, there also appears to be consistent elevations in global genomic methylation. This latter observation is most profound in female zebrafish brain tissues post-exposure to short MWCNTs or SWCNTs (P < 0.05). This study demonstrates that even at low levels, CBNs are capable of inducing significant cellular and genomic modifications in a range of tissues. Such alterations could result in modified susceptibility to other influences such as environmental exposures, pathology and, in the case of brain, developmental alterations.

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“…In their paper, Butler et al (2015) [26] demonstrated the potential of 150 nm gold nanoparticles to generate surface-enhanced Raman spectroscopy (SERS) signals to analyze biological samples, noting that high Raman regions co-localize with the presence of these nanoparticles. Compared with smaller nanoparticles (40 nm), the larger nanoparticles (150 nm) are more easily detectable.…”

Section: Raman Spectroscopymentioning

confidence: 99%

“…Another advantage of larger nanoparticles is that although their aggregates, even individual particles can be optically observed. This allows areas with abundance of these nanoparticles to be manually oriented for analysis, making it possible to acquire highly enhanced spectra more easily [26]. However, in view of the nanoscale dimension of the viral particle, the use of nanoparticles is inconsistent in the reproducibility of spectral enhancement.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Spectroscopy with computational analysis in virological studies: A decade (2006–2016)

Santos

Morais

Nascimento

et al. 2017

TrAC Trends in Analytical Chemistry

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a b s t r a c tThis review presents a retrospective of the studies carried out in the last 10 years (2006e2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses.

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Gold nanoparticles as a substrate in bio-analytical near-infrared surface-enhanced Raman spectroscopy

Abstract: “Large” nanoparticles potentially are a good starting point in order to derive informative NIR/IR SERS analysis of biological samples.

Cited by 33 publications

References 36 publications

Detection of Listeria innocua on roll-to-roll produced SERS substrates with gold nanoparticles

Detection of Listeria innocua on roll-to-roll produced SERS substrates with gold nanoparticles

Diet-sourced carbon-based nanoparticles induce lipid alterations in tissues of zebrafish (Danio rerio) with genomic hypermethylation changes in brain

Spectroscopy with computational analysis in virological studies: A decade (2006–2016)

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