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January 14, 2026Micromachines0 citationsOpen Access

Label-Free Single-Molecule Conalbumin Analysis

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TZTianyu ZhaoXRXi RenRGReuven Gordon

Key Points

  • To analyze conalbumin behavior in various forms using nanoaperture optical tweezers.
  • Applied nanoaperture optical tweezers to detect conalbumin variations.
  • Examined the power spectrum of the NOT-transmitted laser signal.
  • Studied dynamic two-state transitions and temperature effects on conalbumin.
  • Used probability distribution function deconvolution to analyze energy landscapes.
  • Identified larger corner frequencies for iron-bound conalbumin at zero-laser power.
  • Confirmed similar behaviors in diluted egg white samples as in purified conalbumin.
  • Found maximum occupancy of one conalbumin state at approximately 30.4 °C.

Abstract

Nanoaperture optical tweezers (NOTs) were used to analyze conalbumin in various forms. By analyzing the power spectrum of the NOT-transmitted laser signal, differences between iron and iron-free conalbumin were observed; the corner frequency extrapolated to zero-laser power was significantly larger in magnitude for conalbumin with iron, which was interpreted as coming from the enhanced electrostatic interactions close to the surface of the nanoaperture. Conalbumin in a diluted, but otherwise unprocessed, egg white sample showed the same behavior as purified iron-free conalbumin. Dynamic two-state transitions in the NOT signal were observed for iron-free conalbumin and conalbumin in egg white samples. We used this to determine the dominant state as a function of temperature, with one state showing a maximum occupancy around 30.4 ∘C. Deconvolution of the probability distribution function was used to find the energy landscape associated with this two-state transition. This work shows the potential of NOTs to see variations with metal ion binding, including conformational dynamics related to the binding at timescales not accessible to other methods.

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Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/6966f30613bf7a6f02c008d3https://doi.org/10.3390/mi17010094
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