H2020Индивидуална стипендия2022–2025

TopNanoBiosen · Rationally optimized, nanostructure-based biosensors for multi-biomarker cancer diagnostics

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2022-09-01 → 2025-06-30
Финансиране от ЕС: 212 934 €
Участници: 2
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Електрохимични биосензори от наноматериали, като графена, се разработват за едновременно откриване на няколко биомаркера на рака. Това помага за по-бърза, евтина и точна ранна диагностика на заболяването.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Rationally optimized, nanostructure-based biosensors for multi-biomarker cancer diagnostics

Cancer remains a leading cause of death worldwide, with a significant proportion of cases occurring in low- and middle-income countries. Early and accurate detection is critical for improving patient outcomes, but many current diagnostic methods are either costly, slow, or insufficiently sensitive. This project, TopNanoBiosen, addressed the challenge of detecting multiple cancer biomarkers simultaneously—a crucial capability for reliable early diagnosis—using electrochemical biosensors based on nanostructured materials (NSMs). Conventional biosensors typically detect only a single biomarker, limiting their effectiveness in complex biological fluids. The overall objectives were to: (1) Synthesize and characterize NSMs with tailored properties for biosensing; (2) Develop a simulation platform to model and optimize multi-NSM biosensor designs; (3) Fabricate a multi-biomarker electrochemical biosensor; (4) Realize a fully printed, low-cost biosensor platform for real-time cancer detection. In the final period, the project concluded that while multi-material integration posed significant challenges, a strategic shift to a graphene-based platform successfully achieved high-performance multi-biomarker detection using machine learning-assisted electrical feature analysis.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

While electrochemical biosensors are attractive methods of cancer detection, thanks to their low cost and ease of use, nanostructured materials (NSM) are being widely utilized as their biosensing elements due to large surface-to-volume ratio and high sensitivity to external charge transfer. Despite the promise of high performance, current NSM-based electrochemical biosensors for cancer detection focus on one NSM analyzing only a single biomarker type, which makes them unsuitable for low-concentration biomarker detection as required in the analysis of bodily fluids. The combination of several biomarkers has both conceptual and experimental challenges, since different biomarkers have different requirements on the NSM type with different chemistry and transduction mechanisms. Thus, the morphological and physical differences have to be considered for co-integrating such diverse NSMs. I propose to elucidate the effect of NSM morphologies, compositions, and junctions on the operation, sensitivity, and fabricability of biosensors for cancer detection. This goal will be achieved by employing realistic carrier conduction simulations of state-of-the-art NSM assemblies with varying morphology, geometry, and transduction mechanisms to external stimuli. Using my expertise on complex-network-based modelling, the proposed project will provide guidelines for the design of nanostructured devices for optimal biosensors, and allow extrapolation towards the highest achievable performance. This knowledge will inform the fabrication of assay-type electrochemical biosensors for applications in cancer diagnostics. The strong multidisciplinary nature of the project will benefit from the complementary expertise between me and the host institution, enabling a synergy of fundamental advances and application-oriented research. My proposal opens up a new route for achieving high sensitivity biosensing for future diagnostics and therapeutics.

Оригинален текст от CORDIS (на английски).

Участници

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OxfordКоординаторОбединеното кралство
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonОбединеното кралство