Publication: Colorimetric and visual evaluation of sarcosine in the artificial urine
Issued Date
2020-01-01
Resource Type
ISSN
2694930X
Other identifier(s)
2-s2.0-85097182888
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
NANOCON Conference Proceedings - International Conference on Nanomaterials. Vol.2020-October, (2020), 474-478
Suggested Citation
Zuzana Tothova, Dagmar Uhlirova, Martina Stankova, Michaela Vsetickova, Branislav Ruttkay-Nedecky, Marta Kepinska, Josef Ruzicka, Halina Milnerowicz, Warawan Eiamphungporn, Rene Kizek Colorimetric and visual evaluation of sarcosine in the artificial urine. NANOCON Conference Proceedings - International Conference on Nanomaterials. Vol.2020-October, (2020), 474-478. doi:10.37904/nanocon.2019.8516 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/60411
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Colorimetric and visual evaluation of sarcosine in the artificial urine
Other Contributor(s)
Abstract
© NANOCON 2019.All right reserved. Suitable molecular or biochemical markers are sought for rapid diagnostics of cancer. A very promising candidate is the sarcosine (SAR) amino acid, which is elevated in the urine of the patients with prostate cancer. The aim of this work was to develop a simple, fast and reliable method for SAR detection in human urine. Sarcosine oxidase hydrolyses sarcosine and the resulting peroxide is converted to a colored product. By colorimetric analysis, sarcosine could be detected at low concentrations, limit of detection (LOD) was 1 µM and limit of quantification (LOQ) was 6 µM in artificial urine. As a quick test for the presence of sarcosine in urine, a visual assessment of color change has been proposed. Visual results were evaluated as RGB signal densities. The obtained results show that the average RGB variability between test samples was about 10 %. From these values, the ROC curve of the individual experiments was determined. Sensitivity (from 0.59 to 0.83) and specificity (1.00) were calculated using ROC curves according to the type of artificial urine. ROC curves were more than 25 % rated as excellent, 65 % as very good from 5% as good and none as unsatisfactory. Conclusion: Colorimetric detection of sarcosine in urine was sensitive. Visual evaluation of the test showed 100% success in identifying the presence of sarcosine in artificial urine. The obtained data show the potential of the method for the visual evaluation of the presence of sarcosine in the urine and its possible use in the diagnostics of prostate cancer.