H2020Individual fellowship2015–2017

N-SHEAD · Nanoarrays: Self-assembled Hotspots for Enhanced Analyte Detection

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2015-04-08 → 2017-04-07
EU contribution
€183,455
Participants
1
Scheme
MSCA-IF-EF-ST

Lines connect the coordinator with its partners.

Results in brief

Nanoarrays: Self-assembled Hotspots for Enhanced Analyte Detection

The three most significant challenges facing biosensing are inaccuracy, insensitivity, and low-throughput detection. One technique that is capable of facing these challenges is SERS which has demonstrated potential for extreme sensitivity and rapid, multiple-analyte detection within complex mixtures. Early stage diagnosis of disease requires the detection of trace amounts of analyte in multi-component biological samples (blood, urine, saliva). It is therefore particularly important for sensors to be reach low detection limits. The objective of the action was to exploit the self-assembly of nanoparticles (NPs) at liquid-liquid interfaces (LLI) to produce a 2D homogeneous array of plasmonic NPs for ultrasensitive surface enhanced Raman (SERS) sensing. To achieve this we had several goals; to assemble spherical and shaped plasmonic NPs at the LLI and to test their Raman response and potential for sensing of colorectal cancer. Conclusions: We investigated the assembly of spherical and shaped NPs at the LLI, working towards more control over their assembly and understanding their structure. Through in situ manipulation of the NP structure and spacing within the film we were able to observe the direct effects of plasmon coupling on the Raman and optical response of the arrays. Through a collaborative project, NPs were driven to the LLI through electrochemical means. The process was reversible. These NPs were only 16 nm in diameter but there is potential to apply this research to larger NPs more suitable for SERS experiments. A NP immunoassay was constructed for the detection of carcinoembryonic antigen (CEA), a biomarker for the presence of colorectal cancer. We were able to detect down to 10 ng/mL (a concentration above 10 ng/mL indicates that colorectal cancer may be present). The detection was specific, with no signal seen in the control sample. The duration of the test was also faster than conventional immunoassays (requires two incubation steps of 24 h). We were able to detect CEA after only 2 h incubation on both steps.

Data: CORDIS, © European Union

Project objective

I aim to transform the way disease is currently detected through innovations in the design of nanoparticle-based biosensors that can be used to detect a number of diseases with global implications. The three most significant challenges facing biosensing are inaccuracy, insensitivity, and low-throughput detection. One technique that is capable of facing these challenges is Surface Enhanced Raman Scattering (SERS) which has demonstrated potential for extreme sensitivity (single molecule detection) and rapid, multiple-analyte detection within complex mixtures. Early stage diagnosis of disease requires the detection of trace amounts of analyte in multi-component biological samples (blood, urine, saliva). It is therefore particularly important for sensors to reach the single-molecule detection limit. Further, the ability to analyse biological samples without separation or other treatment steps is a crucial advantage of SERS.My approach involves the electrotuneable self-assembly of plasmonic nanoparticles at a liquid-liquid interface for SERS detection, overcoming the severe limitations of current sensors (sensitivity, specificity and speed). I will electrochemically control the positioning of the nanoparticles in a precise manner to maximise the Raman signal. Additionally I will utilise shaped nanoparticles, such as stars and ellipsoids, exploiting the enormous Raman enhancements observed at sharp metallic tips to push the sensitivity towards single-molecule detection limits. The ultrasensitive sensing capabilities will be extended to colorectal cancer diagnosis the third most prevalent cancer in the world which effects 1.4 million people per year. Due to the versatility of this system it can be adapted to any disease or virus where the related biomarker is known. This approach will allow me to build a new generation of sensors that will transform single-molecule SERS detection

Original text from CORDIS.

Participants

  • IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonCoordinatorUnited Kingdom

Links

Data: CORDIS, © European Union