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Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

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A robust method for testing urinary iodine using a microtitre robotic system.

Ashraf Mina¹, Emmanuel J Favaloro, Jerry Koutts

¹Department of Endocrinology, Institute of Clinical Pathology and Medical Research (ICPMR), Westmead Hospital, Westmead, New Souh Wales, Australia. ashraf.mina@swahs.health.nsw.gov.au

Journal of Trace Elements in Medicine and Biology : Organ of the Society for Minerals and Trace Elements (GMS)

|October 11, 2011

Summary

A new automated method for urinary iodine (UI) testing offers a cheaper, faster, and robust way to screen large populations for iodine deficiency disorders. This advancement improves thyroid hormone production monitoring globally.

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Area of Science:

Clinical Chemistry
Endocrinology
Public Health

Background:

Iodine deficiency disorders stem from inadequate thyroid hormone production, affecting an estimated 2 billion people worldwide.
Current laboratory assessments include urinary iodine (UI) concentration and various blood markers (FT3, FT4, TSH, Thyroglobulin).

Purpose of the Study:

To develop and validate a robust, automated method for urinary iodine concentration testing using a microtitre robotic system.
To improve the efficiency and cost-effectiveness of large-scale iodine status assessment.

Main Methods:

Automation of the Sandell-Kolthoff reaction, a standard method for iodine measurement, on a microtitre robotic platform.
Validation of the automated method against the established manual Sandell-Kolthoff assay through correlation analysis.

Main Results:

The automated UI method demonstrated excellent correlation with the manual reference method (r=0.994).
Interassay and intraassay variations were comparable to the manual method.
Significant cost reductions were achieved due to increased throughput and decreased labor and consumable use.

Conclusions:

The automated urinary iodine testing method is a successful adaptation, enabling cheaper, faster, and robust screening for large patient cohorts and populations.
The protocol is adaptable to various microtitre robotic systems, capable of processing up to 372 samples per run.