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March 19, 20260 citationsOpen Access

Mechanistic Insights into AFM-IR Signal Formation and Probing Depth

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YZYide ZhangMPMargaux PetayADA. Dazzi

Key Points

  • The aim is to understand the mechanisms affecting probing depth in AFM-IR spectroscopy through a unified analytical model.
  • Developed a unified analytical model linking absorbed optical energy to cantilever oscillation amplitude.
  • Integrated frequency-dependent subsurface heat deposition and thermoelastic expansion.
  • Analyzed resonance-enhanced cantilever dynamics.
  • Observed a stronger inverse frequency scaling of probing depth, revealing a relation of d_probe ∝ f^{-1}.
  • Identified that mechanical transduction processes significantly influence depth sensitivity.
  • Provided guidelines for adjusting depth sensitivity regarding excitation frequency and sample architecture.

Abstract

Photothermal-based atomic force microscopy infrared (AFM-IR) spectroscopy enables nanoscale chemical imaging and subsurface characterization, yet the fundamental mechanisms governing its probing depth remain only partially understood. Classical thermal diffusion model predicts a length scaling of f^-1/2 with modulation frequency, whereas recent experiments observed a much stronger confinement of probing depth in AFM-IR close to f^-3/2. To resolve this discrepancy, we develop a unified analytical model that quantitatively links absorbed optical energy to the detected cantilever oscillation amplitude in AFM-IR. The model integrates frequency-dependent subsurface heat deposition, thermoelastic expansion with strain attenuation, and resonance-enhanced cantilever dynamics. Our analysis reveals that the effective probing depth (d₏ₑ₎₁₄) is not governed by thermal diffusion alone, but is strongly affected by optical and thermoelastic strain attenuation. These combined effects lead to an inverse frequency scaling (d₏ₑ₎₁₄ f^-1), indicating that mechanical transduction processes play a dominant role in determining depth sensitivity. This framework provides a mechanistic basis for the experimentally observed strong confinement of probing depth and offers quantitative guidelines for tuning depth sensitivity through excitation frequency, pulse conditions, sample architecture, and tip–sample coupling.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69bb9300496e729e62980d7dhttps://doi.org/10.5281/zenodo.19061991
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