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Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis. / Solovieva, Svetlana; Karnaukh, Mikhail; Panchuk, Vitaly; Andreev, Evgeny; Kartsova, Liudmila; Bessonova, Elena; Legin, Andrey; Wang, Ping; Wan, Hao; Jahatspanian, Igor; Kirsanov, Dmitry.

In: Sensors and Actuators, B: Chemical, Vol. 289, 15.06.2019, p. 42-47.

Research output: Contribution to journal › Article › peer-review

Harvard

Solovieva, S, Karnaukh, M, Panchuk, V, Andreev, E, Kartsova, L, Bessonova, E, Legin, A, Wang, P, Wan, H, Jahatspanian, I & Kirsanov, D 2019, 'Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis', Sensors and Actuators, B: Chemical, vol. 289, pp. 42-47. https://doi.org/10.1016/j.snb.2019.03.072

APA

Solovieva, S., Karnaukh, M., Panchuk, V., Andreev, E., Kartsova, L., Bessonova, E., Legin, A., Wang, P., Wan, H., Jahatspanian, I., & Kirsanov, D. (2019). Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis. Sensors and Actuators, B: Chemical, 289, 42-47. https://doi.org/10.1016/j.snb.2019.03.072

Vancouver

Solovieva S, Karnaukh M, Panchuk V, Andreev E, Kartsova L, Bessonova E et al. Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis. Sensors and Actuators, B: Chemical. 2019 Jun 15;289:42-47. https://doi.org/10.1016/j.snb.2019.03.072

Author

Solovieva, Svetlana ; Karnaukh, Mikhail ; Panchuk, Vitaly ; Andreev, Evgeny ; Kartsova, Liudmila ; Bessonova, Elena ; Legin, Andrey ; Wang, Ping ; Wan, Hao ; Jahatspanian, Igor ; Kirsanov, Dmitry. / Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis. In: Sensors and Actuators, B: Chemical. 2019 ; Vol. 289. pp. 42-47.

BibTeX

@article{5a51608d51ac464bad5d9a46e1575cc4,
title = "Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis",
abstract = "We report a simple potentiometric multisensor system for distinguishing the urine samples from the patients with diagnosed prostate cancer and from healthy control group. The sensors of the system are sensitive towards variety of cationic and anionic species in urine, as well as to the presence of RedOx pairs. The response of the system represents a complex chemical fingerprint of urine sample that can be related with patient status through multivariate modelling. 89 urine samples were studied (43 from cancer patients confirmed by prostatic puncture biopsy and 46 from healthy control group) and variety of multivariate classification techniques was applied to the potentiometric data. The best results were obtained with logistic regression model yielding 100% sensitivity and 93% specificity in the independent test set of samples.",
keywords = "Classification, Diagnostics, Logistic regression, Potentiometric multisensor system, Prostate cancer",
author = "Svetlana Solovieva and Mikhail Karnaukh and Vitaly Panchuk and Evgeny Andreev and Liudmila Kartsova and Elena Bessonova and Andrey Legin and Ping Wang and Hao Wan and Igor Jahatspanian and Dmitry Kirsanov",
year = "2019",
month = jun,
day = "15",
doi = "10.1016/j.snb.2019.03.072",
language = "English",
volume = "289",
pages = "42--47",
journal = "Sensors and Actuators, B: Chemical",
issn = "0925-4005",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Potentiometric multisensor system as a possible simple tool for non-invasive prostate cancer diagnostics through urine analysis

AU - Solovieva, Svetlana

AU - Karnaukh, Mikhail

AU - Panchuk, Vitaly

AU - Andreev, Evgeny

AU - Kartsova, Liudmila

AU - Bessonova, Elena

AU - Legin, Andrey

AU - Wang, Ping

AU - Wan, Hao

AU - Jahatspanian, Igor

AU - Kirsanov, Dmitry

PY - 2019/6/15

Y1 - 2019/6/15

N2 - We report a simple potentiometric multisensor system for distinguishing the urine samples from the patients with diagnosed prostate cancer and from healthy control group. The sensors of the system are sensitive towards variety of cationic and anionic species in urine, as well as to the presence of RedOx pairs. The response of the system represents a complex chemical fingerprint of urine sample that can be related with patient status through multivariate modelling. 89 urine samples were studied (43 from cancer patients confirmed by prostatic puncture biopsy and 46 from healthy control group) and variety of multivariate classification techniques was applied to the potentiometric data. The best results were obtained with logistic regression model yielding 100% sensitivity and 93% specificity in the independent test set of samples.

AB - We report a simple potentiometric multisensor system for distinguishing the urine samples from the patients with diagnosed prostate cancer and from healthy control group. The sensors of the system are sensitive towards variety of cationic and anionic species in urine, as well as to the presence of RedOx pairs. The response of the system represents a complex chemical fingerprint of urine sample that can be related with patient status through multivariate modelling. 89 urine samples were studied (43 from cancer patients confirmed by prostatic puncture biopsy and 46 from healthy control group) and variety of multivariate classification techniques was applied to the potentiometric data. The best results were obtained with logistic regression model yielding 100% sensitivity and 93% specificity in the independent test set of samples.

KW - Classification

KW - Diagnostics

KW - Logistic regression

KW - Potentiometric multisensor system

KW - Prostate cancer

UR - http://www.scopus.com/inward/record.url?scp=85063186208&partnerID=8YFLogxK

U2 - 10.1016/j.snb.2019.03.072

DO - 10.1016/j.snb.2019.03.072

M3 - Article

AN - SCOPUS:85063186208

VL - 289

SP - 42

EP - 47

JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

SN - 0925-4005

ER -

ID: 40040831