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Published on: June 1, 2012
Nanoparticle-based paper sensor for thiols evaluation in human skin
M Markina1, N Stozhko1, V Krylov1
1Ural State University of Economics, 8 March St., 62, Ekaterinburg 620144, Russian Federation.
A novel non-invasive gold nanoparticle sensor detects thiols in human skin by analyzing color changes. This method accurately measures glutathione levels, crucial for skin health monitoring.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Nanotechnology
Background:
- Thiols, particularly glutathione, play vital roles in skin health and oxidative stress.
- Current methods for thiol detection in skin can be invasive or lack sensitivity.
- Development of a sensitive, non-invasive method for skin thiol analysis is needed.
Purpose of the Study:
- To develop and validate a novel, sensitive, and non-invasive gold nanoparticle-based sensor for detecting thiols in human skin.
- To establish the analytical performance of the sensor using glutathione as a model biothiol.
- To assess the sensor's applicability for in vivo skin thiol level determination.
Main Methods:
- A gold nanoparticle-based paper sensor was designed, utilizing color change upon thiol-induced aggregation for detection.
- The analytical response was quantified by the ratio of blue to red color intensity in RGB images.
- Glutathione was used as a model biothiol to determine linearity range, detection limit, precision, and recovery.
- Interference studies were conducted with common skin matrix components.
Main Results:
- The sensor demonstrated a linear range of 8-75µM and a detection limit of 6.9µM for glutathione.
- Inter-day and intra-day precision showed relative standard deviations (RSD) of ≤7% and ≤12%, respectively.
- Recovery rates for glutathione spiked onto skin ranged from 77-138%.
- Common skin components showed no significant interference at specified concentrations.
- In vivo measurements on volunteers revealed skin thiol levels between 11.6-47.5µM.
Conclusions:
- The developed gold nanoparticle sensor offers a sensitive and non-invasive approach for detecting thiols in human skin.
- The sensor exhibits good analytical performance and specificity, suitable for monitoring skin's thiol status.
- This technology holds potential for non-invasive diagnostics and health monitoring related to skin oxidative stress.
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