Evidence map›Paper›PMID 40965358›Full record

ArticleAnalytical chemistry2025

Experimental and Theoretical Insights into Nanoscale AFM-IR Imaging of Complex Heterogeneous Structures.

Yide Zhang, Ufuk Yilmaz, Artem S Vorobev, Simone Iadanza, Liam O'Faolain, Bernhard Lendl, Georg Ramer

Abstract read
In one paragraph

Article in Analytical chemistry, 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

7 authors.

Yide ZhangInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.
Ufuk YilmazInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.
Artem S VorobevCentre for Advanced Photonics and Process Analysis, Munster Technological University, Cork T12P928, Ireland.ORCID 0000-0002-3642-5225
Simone IadanzaLaboratory of Nano and Quantum Technologies Paul Scherrer-Institut, Villigen 5232, Switzerland.
Liam O'FaolainCentre for Advanced Photonics and Process Analysis, Munster Technological University, Cork T12P928, Ireland.
Bernhard LendlInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.ORCID 0000-0003-3838-5842
Georg RamerInstitute of Chemical Technologies and Analytics, TU Wien, Vienna 1060, Austria.ORCID 0000-0001-8307-5435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoscale chemical imaging enabled by atomic force microscopy-infrared spectroscopy (AFM-IR) provides valuable insights into the complex structures and chemical compositions of materials and biological samples. While AFM-IR has been applied to subsurface imaging, the underlying mechanisms, particularly in nonplanar geometries and complex heterogeneous structures, remain underexplored. This study presents a theoretical analysis and experimental validation of AFM-IR for imaging subsurface features within organic multilayer structures, uncovering how image broadening depends on whether the excitation occurs in the subsurface or the covering layer. An analytical model based on the sample geometry demonstrates that the lateral size of the absorber significantly impacts both the signal intensity and spatial resolution in AFM-IR chemical imaging. These findings are experimentally validated, and a more representative finite element method (FEM) model was subsequently created, resulting in strong agreement with the experimental data. The model reveals how irregular structures directly impact photothermal expansion, providing an explanation for the distinct image broadening observed with infrared excitation of different layers. Additionally, a linear relationship is observed between feature size, chemical images, and AFM-IR signal intensity. These findings contribute significantly to the understanding of the AFM-IR signal, providing insights into resolution and sensitivity, paving the way for more advanced nanoscale chemical imaging capabilities.

Identifiers

PMID40965358
PMCPMC12489900

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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.