ArticleAdvanced materials (Deerfield Beach, Fla.)2021
Infrared Metasurface Augmented by Deep Learning for Monitoring Dynamics between All Major Classes of Biomolecules.
Article in Advanced materials (Deerfield Beach, Fla.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
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Who cites it
36 citing papers in PubMed, 118 citations in OpenAlex.
- Artificial Intelligence-Driven Metasurfaces Spanning Multidimensional Light Field Control and Free Space Computing.Micromachines · 2026Review
- Ultra-compact broadband terahertz spectroscopy sensor enabled by resonant-gradient metasurface.Nature communications · 2025Article
- In honor of Federico Capasso, a visionary in nanophotonics, on the occasion of his 75th birthday.Nanophotonics (Berlin, Germany) · 2025Article
- Surface-enhanced spectroscopy technology based on metamaterials.Microsystems & nanoengineering · 2025Review
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- Empowering nanophotonic applications via artificial intelligence: pathways, progress, and prospects.Nanophotonics (Berlin, Germany) · 2025Review
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
- Recent Advances in Metasurfaces: From THz Biosensing to Microwave Wireless Communications.Research (Washington, D.C.) · 2025Review
- Smart CAR-T Nanosymbionts: archetypes and proto-models.Frontiers in immunology · 2025Review
- The rise of electrically tunable metasurfaces.Science advances · 2024Review
- AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring.Biosensors · 2024Review
- Pixelated High-ACS nano · 2024Article
- Unleashing the potential: AI empowered advanced metasurface research.Nanophotonics (Berlin, Germany) · 2024Review
- Exploring plasmonic gradient metasurfaces for enhanced optical sensing in the visible spectrum.Nanophotonics (Berlin, Germany) · 2024Article
- Advances in terahertz metasurface graphene for biosensing and application.Discover nano · 2023Review
- Dynamic construction of refractive index-dependent vibrations using surface plasmon-phonon polaritons.Nature communications · 2023Article
- Wavelength multiplexing infrared metasurfaces for protein recognition and trace detection.Nanophotonics (Berlin, Germany) · 2023Article
- Research Progress in Surface-Enhanced Infrared Absorption Spectroscopy: From Performance Optimization, Sensing Applications, to System Integration.Nanomaterials (Basel, Switzerland) · 2023Review
- Electrochemical Wearable Biosensors and Bioelectronic Devices Based on Hydrogels: Mechanical Properties and Electrochemical Behavior.Biosensors · 2023Review
- Over-coupled resonator for broadband surface enhanced infrared absorption (SEIRA).Nature communications · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Insights into the fascinating molecular world of biological processes are crucial for understanding diseases, developing diagnostics, and effective therapeutics. These processes are complex as they involve interactions between four major classes of biomolecules, i.e., proteins, nucleic acids, carbohydrates, and lipids, which makes it important to be able to discriminate between all these different biomolecular species. In this work, a deep learning-augmented, chemically-specific nanoplasmonic technique that enables such a feat in a label-free manner to not disrupt native processes is presented. The method uses a highly sensitive multiresonant plasmonic metasurface in a microfluidic device, which enhances infrared absorption across a broadband mid-IR spectrum and in water, despite its strongly overlapping absorption bands. The real-time format of the optofluidic method enables the collection of a vast amount of spectrotemporal data, which allows the construction of a deep neural network to discriminate accurately between all major classes of biomolecules. The capabilities of the new method are demonstrated by monitoring of a multistep bioassay containing sucrose- and nucleotides-loaded liposomes interacting with a small, lipid membrane-perforating peptide. It is envisioned that the presented technology will impact the fields of biology, bioanalytics, and pharmacology from fundamental research and disease diagnostics to drug development.
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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 OpenQuestion graph.