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Hyperpolarized Surface-enhanced Liquid-State Spectroscopy

Project description

Improving the sensitivity of nuclear magnetic resonance

Nuclear magnetic resonance (NMR) is a technique used for revealing the detailed structure of molecules in chemistry and biology. However, its low sensitivity often restricts the study of complex biomolecules and subtle molecular interactions. A method called dissolution dynamic nuclear polarisation (dDNP) can boost NMR signals up to 10 000-fold. However, it currently works for only a narrow range of samples. The key objective of the ERC-funded HypSurf project is to make dDNP broadly accessible by developing adaptable devices to equip standard NMR systems with dDNP. Researchers will also introduce an AI-guided method to expand compatible samples and demonstrate applications in structural biology, biomaterials and chemistry. The study is expected to set a new benchmark for high-resolution molecular analysis.

Objective

Across science, medicine, and industry, nuclear magnetic resonance (NMR) is a key technique with the unique capacity to provide atomistically detailed molecular models. Its primary drawback, however, lies in its low sensitivity, limiting its ability to address critical scientific questions. A potential answer is hyperpolarization via dissolution dynamic nuclear polarization (dDNP), which can amplify NMR sensitivity 10,000-fold.
Despite this promise, dDNP remains a niche method constrained to a narrow range of substrates. Most experiments and nearly all biomolecules remain beyond dDNP’s reach; thus, a plethora of opportunities are missed.
HypSurf aims to exploit the full potential of dDNP by rendering it applicable to all solution-state biomolecular systems – for experiments across the entire biomolecular NMR toolbox. This transformative goal comprises three primary objectives:
1) Universal compatibility will be achieved by building Autonomous Interface Devices (AID): versatile and adaptable instrumentation to seamlessly update any NMR spectrometer with dDNP capabilities.
2) Maximized Substrate Scope will be achieved with artificial intelligence-driven Liquid-state Surface-ENhanced Spectroscopy (LiSENS): a resolution-enhanced method for dDNP-powered studies that uses simply water as a transporter of signal intensity. Thus, the requirement for the 10,000-fold signal boost by dDNP is narrowed down to mere solubility.
3) Confirmation of the versatility and prowess of AID and LiSENS will be achieved by providing super-resolution data at maximized sensitivity for an extensive set of cutting-edge applications in biomimetic materials, structural biology, and chemistry.
HypSurf has the potential to set a new standard for NMR by boosting both resolution and sensitivity by orders of magnitude beyond the current state-of-the-art. With extensive expertise in dDNP instrumentation, NMR methods, and biochemistry, the PI is uniquely positioned to lead this ambitious initiative.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2025-COG

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Host institution

UNIVERSITAT WIEN
Net EU contribution
€ 1 998 020,00
Address
UNIVERSITATSRING 1
1010 Wien
Austria
Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 1 998 020,00

Beneficiaries (1)