Development of a robust, fast screening method for the potentiometric determination of iodide in urine and salt samples

Talanta ◽  
2017 ◽  
Vol 167 ◽  
pp. 688-694 ◽  
Author(s):  
Ana Machado ◽  
Raquel B.R. Mesquita ◽  
Sara Oliveira ◽  
Adriano A. Bordalo
Proceedings ◽  
2020 ◽  
Vol 55 (1) ◽  
pp. 14
Author(s):  
Sorin Sebastian Gheorghe ◽  
Ruxandra Maria Ilie-Mihai ◽  
Raluca-Ioana Stefan-van Staden ◽  
Alexandru Bratei

Interleukins proved to be valuable biomarkers for different diseases. Interleukins 1β, 6, and 12 can be used as biomarkers for brain cancer diagnosis, and therefore this paper proposed a needle stochastic sensor based on protoporphyrin IX immobilized in nano-diamond paste for fast screening of biological samples, such as whole blood, urine and brain tumoral tissue, for these interleukins. The results obtained using this needle stochastic sensor proved that the interleukins 1β, 6, and 12 can be reliably determined from whole blood, urine and brain tumoral tissue, with recoveries higher than 96.00% and with relative standard deviations lower than 1.00%. The validation of the method was performed using whole blood and tissue samples collected from the patients confirmed with brain tumor.


2016 ◽  
Vol 12 (3) ◽  
pp. 177-184 ◽  
Author(s):  
Gamal Abdel-Hafiz Mostafa ◽  
Mohammed Hefnawy ◽  
Mohammed Abounassif ◽  
Amer Alanazi ◽  
Abdulrahman Al-Majed ◽  
...  

1967 ◽  
Vol 13 (11) ◽  
pp. 985-993 ◽  
Author(s):  
Ronald H Laessig ◽  
Chester E Underwood ◽  
Barbara J Basteyns

Abstract An automated colorimetric microprocedure, suitable for screening purposes, has been developed for the determination of blood uric acid levels. The method uses 2O-µl. whole-blood (capillary) samples and is based on the AutoAnalyzer measurement of the absorbance of the colored uric acid-phosphotungstic acid complex. The dilution inherent in the sampling procedure necessitated a modification of the existing AutoAnalyzer method to increase the sensitivity. The proposed method is evaluated for precision and accuracy by comparison with the standard AutoAnalyzer macro-method.


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