title: Determination of urine ionic composition with potentiometric multisensor system
metadata.name: dc.contributor.author
metadata.value: Yaroshenko, Irina
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kirsanov, Dmitry
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kartsova, Lyudmila
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Sidorova, Alla
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Borisova, Irina
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Legin, Andrey
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2016-04-11T08:08:27Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2016-04-11T08:08:27Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2015-01
metadata.lang: -
metadata.name: dc.identifier
metadata.value: 10.1016/j.talanta.2014.08.030
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 10.1016/j.talanta.2014.08.030
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/2050
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The ionic composition of urine is a good indicator of patient's general condition and allows for diagnostics of certain medical problems such as e.g., urolithiasis. Due to environmental factors and malnutrition the number of registered urinary tract cases continuously increases. Most of the methods currently used for urine analysis are expensive, quite laborious and require skilled personnel. The present work deals with feasibility study of potentiometric multisensor system of 18 ion-selective and cross-sensitive sensors as an analytical tool for determination of urine ionic composition. In total 136 samples from patients of Urolithiasis Laboratory and healthy people were analyzed by the multisensor system as well as by capillary electrophoresis as a reference method. Various chemometric approaches were implemented to relate the data from electrochemical measurements with the reference data. Logistic regression (LR) was applied for classification of samples into healthy and unhealthy producing reasonable misclassification rates. Projection on Latent Structures (PLS) regression was applied for quantitative analysis of ionic composition from potentiometric data. Mean relative errors of simultaneous prediction of sodium, potassium, ammonium, calcium, magnesium, chloride, sulfate, phosphate, urate and creatinine from multisensor system response were in the range 3-13% for independent test sets. This shows a good promise for development of a fast and inexpensive alternative method for urine analysis.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Determination of urine ionic composition with potentiometric multisensor system
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 2015-Urine-Talanta.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/2050/1/2015-Urine-Talanta.pdf
resources.format: Adobe PDF
resources.size: 545,46 kB