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Evaluation of the method for determination of iodine content in urine with automatic iodine element analyzer / 中华地方病学杂志
Chinese Journal of Endemiology ; (12): 596-598, 2021.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-909060
Responsible library: WPRO
ABSTRACT

Objective:

To study the method of measuring iodine content in urine with automatic iodine element analyzer.

Methods:

The iodine content in urine was measured by automatic iodine element analyzer DAT-50S, and the applicability of the method was tested, including the standard curve and detection limit, precision test, standard substance determination test, standard addition recovery test, and method comparison test.

Results:

Within the range of iodine content 0 - 800 μg/L, the correlation coefficient of the standard curve was - 0.999 7, and the detection limit was 6.2 μg/L. Precision the relative standard deviation ( RSD) values of three urine samples with low, medium and high iodine contents within the range of the standard curve were 1.6%, 1.1% and 0.7%, respectively ( n = 8). Accuracy the measured values of two urine iodine standard substances measured by the automatic iodine element analyzer were all within the reference value range; the average recovery rate of three urine samples with low, medium and high iodine contents within the range of the standard curve was 99.6%, and the recovery rate ranged from 97.6% to 101.2%. Method comparison test there was no statistically significant difference between the results of 20 urine samples determined by arsenic-cerium catalytic spectrophotometry (WS/T 107.1-2016) and the automatic iodine element analyzer ( t = 0.984, P > 0.05).

Conclusion:

The precision and accuracy of urinary iodine determination using the automatic iodine element analyzer are high, the operation is simple, and it is suitable for popularization and application in grassroots disease control institutions.

Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2021 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2021 Document type: Article
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