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Gold-silver-nanoclusters having cholic acid imprinted nanoshell.

Aytaç Gültekin¹, Arzu Ersöz, Adil Denizli

¹Department of Energy Systems Engineering, Karamanoğlu Mehmetbey University, Karaman, Turkey.

|April 10, 2012

Summary

This study introduces novel molecular imprinted polymer nanoparticles for selective cholic acid detection. The gold-silver-nanocluster-based sensor demonstrates high binding affinity, enabling accurate cholic acid level determination in biological samples.

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Area of Science:

Nanotechnology
Analytical Chemistry
Biomedical Engineering

Background:

Molecular imprinted polymers (MIPs) are gaining traction as recognition elements in sensor development.
MIP-nanoparticles offer enhanced sensitivity and specificity for target analyte detection.
Cholic acid detection is crucial for diagnosing various liver-related conditions.

Purpose of the Study:

To develop a novel nanosensor for selective cholic acid recognition using molecular imprinting.
To functionalize gold-silver-nanoclusters with a thiol ligand-capping method and polymerizable MAC.
To investigate the binding affinity and determine cholic acid levels in biological samples.

Main Methods:

A novel thiol ligand-capping method using methacryloylamido-cysteine (MAC) attached to gold-silver-nanoclusters.
Reconstruction of surface shell with synthetic host polymers via molecular imprinting for cholic acid recognition.
Utilizing methacryloylamidohistidine-Pt(II) [MAH-Pt(II)] as a metal-chelating monomer for enhanced binding.

Main Results:

The nanoshell sensors created a shape-selective cavity for cholic acid.
Cholic acid demonstrated simultaneous chelation to Pt(II) and fitting into the imprinted cavity.
Binding affinity constants (K(affinity)) were determined as 2.73 × 10^4 mol L⁻¹ (Langmuir) and 2.13 × 10^8 mol L⁻¹ (Scatchard).

Conclusions:

The developed gold-silver-nanocluster nanosensor effectively recognizes and binds cholic acid with high affinity.
The sensor is capable of determining cholic acid levels in human blood serum and urine samples.
This MIP-based nanosensor shows promise for clinical diagnostics and biomedical applications.