Loading…

Approximation of calibration of phase-fluorimetric oxygen sensors on the basis of physical models

This study addresses the problem of approximation of calibrations of the phase-fluorimetric oxygen sensors. Three common models of active medium were analysed: single-exponential, single-exponential with non-linear solubility and double-exponential, with and without consideration of possible instrum...

Full description

Saved in:
Bibliographic Details
Published in:Sensors and actuators. B, Chemical Chemical, 2001-12, Vol.81 (1), p.17-24
Main Authors: Ogurtsov, Vladimir I., Papkovsky, Dmitri B., Papkovskaia, Natalia Yu
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study addresses the problem of approximation of calibrations of the phase-fluorimetric oxygen sensors. Three common models of active medium were analysed: single-exponential, single-exponential with non-linear solubility and double-exponential, with and without consideration of possible instrumental errors. The relationship between the quenching constants of the double-exponential and non-linear solubility models was demonstrated. It was shown that all these models can be expressed in one general form, using different dependencies of the quenching constant from the oxygen concentration. This allowed us to suggest a universal algorithm of approximation based on the optimisation of calibration points ([O2],ϕ) in coordinates (k,ϕ). Movement from simple to complex models enables to control the process of optimisation. To determine the best model and its parameters, use of the mean-square and the uniform target functions is suggested. This algorithm was validated with the practical phase-fluorimetric oxygen sensor, where it provided the accuracy of approximation of less than 1% for the oxygen range 0–100kPa. Further improvement was limited by the confidence level of calibration. It was demonstrated that this algorithm can improve the accuracy of the approximation by considering the possible instrumentation errors.
ISSN:0925-4005
1873-3077
DOI:10.1016/S0925-4005(01)00921-2