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Sensors 2019, 19(6), 1359; https://doi.org/10.3390/s19061359

A Simple Procedure to Assess Limit of Detection for Multisensor Systems

1
Institute of Chemistry, Saint-Petersburg State University, Universitetskaya emb., 7-9-11, 199304 Saint-Petersburg, Russia
2
Laboratory of Artificial Sensory Systems, ITMO University, Kronverksky pr., 49, 197101 Saint-Petersburg, Russia
*
Author to whom correspondence should be addressed.
Received: 19 February 2019 / Revised: 13 March 2019 / Accepted: 14 March 2019 / Published: 18 March 2019
(This article belongs to the Special Issue Multivariate Data Analysis for Sensors and Sensor Arrays)
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Abstract

Currently, there are no established procedures for limit of detection (LOD) evaluation in multisensor system studies, which complicates their correct comparison with other analytical techniques and hinders further development of the method. In this study we propose a simple and visually comprehensible approach for LOD estimation in multisensor analysis. The suggested approach is based on the assessment of evolution of mean relative error values in calibration series with growing analyte concentration. The LOD value is estimated as the concentration starting from which MRE values become stable from sample to sample. This intuitive procedure was successfully tested with a variety of real data from potentiometric multisensor systems. View Full-Text
Keywords: limit of detection; multisensor systems; first-order multivariate calibration; electronic tongue; potentiometric sensors limit of detection; multisensor systems; first-order multivariate calibration; electronic tongue; potentiometric sensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Oleneva, E.; Khaydukova, M.; Ashina, J.; Yaroshenko, I.; Jahatspanian, I.; Legin, A.; Kirsanov, D. A Simple Procedure to Assess Limit of Detection for Multisensor Systems. Sensors 2019, 19, 1359.

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