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Updated: Apr 19, 2026

Estimation of Urinary Nanocrystals in Humans using Calcium Fluorophore Labeling and Nanoparticle Tracking Analysis
Published on: February 9, 2021
Detection of urinary creatinine using gold nanoparticles after solid phase extraction.
Jarinya Sittiwong1, Fuangfa Unob1
1Department of Chemistry, Faculty of Science, Chulalongkorn University, Payathai Road, Bangkok 10330, Thailand.
This study introduces a novel method for detecting creatinine in human urine using gold nanoparticles (AuNPs). The technique effectively eliminates urine matrix interference, enabling accurate creatinine measurement.
Area of Science:
- Nanotechnology
- Analytical Chemistry
- Biomedical Sensing
Background:
- Creatinine detection is crucial for assessing kidney function.
- Existing methods for creatinine detection can be affected by complex biological matrices like urine.
- Label-free detection methods offer advantages in simplicity and cost-effectiveness.
Purpose of the Study:
- To develop a sensitive and selective method for label-free creatinine detection in human urine.
- To utilize gold nanoparticles (AuNPs) for visual and spectrometric quantification of creatinine.
- To validate a sample preparation technique that mitigates urine matrix interferences.
Main Methods:
- Creatinine extraction from human urine using sulfonic acid functionalized silica gel.
- Detection of extracted creatinine via aggregation of gold nanoparticles (AuNPs).
- Monitoring of AuNP aggregation through changes in surface plasmon resonance and colorimetry.
Main Results:
- The proposed sample preparation effectively removed interfering substances from the urine matrix.
- Creatinine-induced AuNP aggregation led to measurable changes in optical signals.
- The method achieved a creatinine detection range of 15-40 mg/L with a detection limit of 13.7 mg/L.
- Successful application of the method for creatinine detection in actual human urine samples.
Conclusions:
- The developed label-free method using AuNPs and a specific sample preparation is effective for creatinine detection in human urine.
- This approach offers a promising tool for clinical diagnostics and kidney function assessment.
- The visual and spectrometric detection capabilities enhance its potential for widespread use.
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