ArticleAdvanced materials (Deerfield Beach, Fla.)2026
Label-Free SERS Fingerprinting of Neuroprotein Conformational Dynamics in Human Saliva.
Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Advancements in Nanomaterial-Based Biosensors for Neuropsychiatric and Neurodegenerative Diagnostics: From Biomarker Discovery to Clinical Translation.Biosensors · 2026Review
- Next-Generation SERS Probes: Engineering Hotspots, Intelligent Molecular Targeting, and AI-Driven Spectral Analysis for Emerging Applications.Nanomaterials (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Conformational transitions of neuroproteins are closely associated with neurological disorders and represent key biomarkers for diagnosis and disease monitoring. A reliable and label-free method for detecting and tracking these structural changes is critical for effective clinical application. In this work, a galvanic molecular entrapment (GME) strategy is presented to combine with surface-enhanced Raman scattering (SERS) for localization and label-free detection of neuroproteins. This approach integrates galvanic replacement with in situ Au surface growth to enable precise molecular entrapment and plasmonic hotspot formation directly around target analytes. Such spatial confinement optimizes analyte positioning within the electromagnetic field, thereby enhancing SERS signal intensity and overcoming geometric mismatches that typically limit sensitivity. The GME method successfully profiled neuroprotein conformational states and demonstrated strong potential for proteomic analysis. A logistic regression model applied to the spectral dataset enabled accurate classification of saliva samples from individuals with epilepsy, schizophrenia, Parkinson's disease, and healthy controls, achieving high sensitivity, specificity, and diagnostic accuracy. This integrated platform offers a non-invasive tool for neurological diagnostics and holds significant promise for advancing personalized healthcare in the management of neurological disorders.
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What Socratic holds
Registered trials
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 Socratic graph.