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Predicting the signal of O 2 microsensors from physical dimensions, temperature, salinity, and O 2 concentration
Author(s) -
Gundersen Jens Kristian,
Ramsing Niels Birger,
Glud Ronnie Nøhr
Publication year - 1998
Publication title -
limnology and oceanography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.7
H-Index - 197
eISSN - 1939-5590
pISSN - 0024-3590
DOI - 10.4319/lo.1998.43.8.1932
Subject(s) - salinity , signal (programming language) , oxygen , oxygen sensor , calibration , temperature salinity diagrams , analytical chemistry (journal) , chemistry , sensitivity (control systems) , permeability (electromagnetism) , signal to noise ratio (imaging) , limiting oxygen concentration , membrane , physics , chromatography , optics , oceanography , geology , electronic engineering , biochemistry , organic chemistry , quantum mechanics , computer science , engineering , programming language
The signal of Clark‐type oxygen sensors is controlled not only by the oxygen concentration but also by sensor dimensions, temperature, and salinity. We have developed a mathematical model that predicts the O 2 microsensor signal as a function of these parameters. The only model variable, membrane permeability, can be determined by a one‐point calibration; hence, the model can be used for calibrating the signal measured under any temperature and salinity. The model describes the oxygen concentration profile through the sensor and thus allows optimization of sensor construction with respect to stirring sensitivity, signal‐to‐noise ratio, and response time. The model is demonstrated using oxygen water column profiles off the coast of central Chile.