Hugo Payen

Mr. Hugo Payen

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 December 2025 in Biosensors
Verified
Journal Article
Open access
PDF file
ASAruna Chandra Singh
Aruna Chandra Singh
CSClara Sidhoum
Clara Sidhoum
HPHugo Payen
Hugo Payen
DBDivya Balakrishnan
Divya Balakrishnan
Saulius JuodkazisSaulius Juodkazis
Saulius Juodkazis
SKSivashankar Krishnamoorthy
Sivashankar Krishnamoorthy
Sensors to monitor the immune status of an individual play a crucial role in understanding the acquired immunity or signs of a latent infection. Such sensors can be an effective tool to manage infection and to design treatment options in vulnerable populations. We demonstrate here highly sensitive detection of acquired immunity to Cytomegalovirus CMV by detection of anti-CMV antibodies using plasmon-enhanced fluorescence (PEF). The PEF sensors leverage plasmonic enhancement from a high density of intense electromagnetic hotspots in self-assembly-derived gold nanopillar arrays. Comparing PEF assays with assays on a planar surface plasmon resonance sensor shows the PEF sensors to be sensitive to a small fraction of the antibodies on the surface. The detection scheme deploys peptide monolayers with specific affinity to anti-CMV antibodies to capture them onto the sensor surfaces. The results of the assay on the PEF sensor reveal high promise for sensors with miniaturized sensing footprints, ease of spatial multiplexing, high sensitivity, and quick response times. The developments are readily applicable to a range of other diagnostic contexts where peptide–protein interactions and self-assembly-derived PEF sensors can be leveraged.

16 May 2024 in Proceedings
Verified
Conference Paper
Open access
PDF file
ASAruna Chandra Singh
Aruna Chandra Singh
DBDivya Balakrishnan
Divya Balakrishnan
HPHugo Payen
Hugo Payen
CSClara Sidhoum
Clara Sidhoum
TØThomas Østerbye
Thomas Østerbye
SKSivashankar Krishnamoorthy
Sivashankar Krishnamoorthy
We demonstrate a highly sensitive plasmon-enhanced fluorescence sensor to detect antibodies to Cytomegalovirus (CMV), using their specific interaction with a peptide identified through in silico methods. The results show high promise for sensor miniaturization, ease of spatial multiplexing, high sensitivity, and quick response times. The developments are readily applicable to detect antibodies to range of other viruses (e.g., SARS-CoV-2 virus, Bird and Swine Flu).