Evidence map›Paper›PMID 40852771›Full record

ArticleAdvanced healthcare materials2025

Atomic-Level Engineering of Synthetic Receptors for Enhanced Virus Detection and Removal.

Eda Akin, Ekin Sehit, Nastasia Sanda Moldovean-Cioroianu, Sahana Tavaragondi, Sophia Slenczka, Roderich Süssmuth, Friedrich Jurk, Manuel van Gemmeren, Zeynep Altintas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eda AkinInstitute of Materials Science, Kiel University, 24143, Kiel, Germany.
Ekin SehitInstitute of Materials Science, Kiel University, 24143, Kiel, Germany.
Nastasia Sanda Moldovean-CioroianuInstitute of Materials Science, Kiel University, 24143, Kiel, Germany.
Sahana TavaragondiInstitute of Materials Science, Kiel University, 24143, Kiel, Germany.
Sophia SlenczkaInstitute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Roderich SüssmuthInstitute of Chemistry, Technical University of Berlin, 10623, Berlin, Germany.
Friedrich JurkOtto Diels-Institute of Organic Chemistry, Kiel University, 24118, Kiel, Germany.
Manuel van GemmerenOtto Diels-Institute of Organic Chemistry, Kiel University, 24118, Kiel, Germany.
Zeynep AltintasInstitute of Materials Science, Kiel University, 24143, Kiel, Germany.ORCID https://orcid.org/0000-0002-5461-3289

Funding

Deutsche Forschungsgemeinschaft 428780268
6 · The paper itself

Abstract

Virus sensing and removal are critical for public health, particularly in preventing the spread of infectious diseases and ensuring safe water, air, and clinical environments. Current virus detection tools utilize recognition elements suffering from high cost, low stability, and specificity, and time-consuming production methods. Meanwhile, conventional virus removal techniques are often hindered by inefficiency, complexity, and the potential for harmful byproducts. Herein, this study successfully addressed these challenges by employing extensive computational techniques to design and optimize epitope-specific novel artificial ligands for virus detection and removal, utilized in two major applications: biosensing and membrane filtration. Virus-specific, computationally designed imprinted receptors (CIRs) functionalized on quartz crystal microbalance (QCM) platforms, developed in this work, allow human pathogenic virus detection with high sensitivity (limit of detection = 0.064 fM) in complex media such as tap water and human serum, while providing high selectivity and specificity. Moreover, CIR integrated polyvinylidene fluoride (PVDF) and polyethersulfone (PES) membranes resulted in an efficient virus removal from contaminated water with a 100% purification rate. This synergistic approach highlights the potential of computationally derived imprinted synthetic ligands in advancing point-of-care diagnostics and water treatment technologies for virus sensing and removal.

Indexed as

Biosensing TechniquesReceptors, ArtificialVirusesFluorocarbon PolymersHumansMembranes, ArtificialPolymersPolyvinylsQuartz Crystal Microbalance TechniquesSulfonesFluorocarbon PolymersMembranes, Artificialpolyether sulfonePolymerspolyvinylidene fluoridePolyvinylsReceptors, ArtificialSulfonesepitope‐specific affinity materialsimprinted materialsin‐silico virus receptor designmolecular dynamicsQCM sensorvirus detectionvirus‐selective membrane filtration

Identifiers

PMID40852771
PMCPMC12477568

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.