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Updated: May 15, 2026

Estimation of Urinary Nanocrystals in Humans using Calcium Fluorophore Labeling and Nanoparticle Tracking Analysis
Published on: February 9, 2021
X-ray microdiffraction and urine: a new analysis method of crystalluria.
B Baggio1, M L Giannossi, L Medici
1Dip. Scienze Mediche e Chirurgiche, Università degli Studi di Padova, Padova, Italy.
This study introduces a new X-ray microdiffraction method for precise crystalluria analysis in kidney stone patients. The technique accurately quantifies crystalline and amorphous components in urine sediment.
Area of Science:
- Urology
- Analytical Chemistry
- Materials Science
Background:
- Crystalluria analysis is crucial for diagnosing and predicting urolithiasis (kidney stone disease).
- Existing methods may lack accuracy in quantifying urine particulate matter.
- Accurate characterization of urine crystals and amorphous components is needed.
Purpose of the Study:
- To develop and validate a novel, accurate methodology for qualitative and quantitative analysis of urine particulate.
- To assess urine solid residuals in patients diagnosed with renal stone disease.
Main Methods:
- Urine samples were collected and centrifuged to isolate solid residuals.
- X-ray microdiffraction with a micro-diffractometer was employed for analyzing low residual amounts.
- Quantitative analysis was performed using the Rietveld method on 2 θ -I profiles.
Main Results:
- The proposed X-ray microdiffraction method accurately quantifies all crystalline phases and the amorphous component in urine.
- Significant increases in both amorphous and crystalline phases were observed in urine samples stored at room temperature for several days.
- The methodology is sensitive enough for analyzing very low residual amounts.
Conclusions:
- This novel X-ray microdiffraction technique offers an accurate approach for crystalluria assessment in urolithiasis.
- Prompt analysis of centrifuged urine samples is essential to prevent alterations in crystalline and amorphous content.
- The method provides valuable data for the diagnosis and prognosis of kidney stone disease.
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