Measurement Uncertainty Estimation in Amperometric Sensors: A Tutorial Review

Abstract

This tutorial focuses on measurement uncertainty estimation in amperometric sensors (both for liquid and gas-phase measurements). The main uncertainty sources are reviewed and their contributions are discussed with relation to the principles of operation of the sensors, measurement conditions and properties of the measured samples. The discussion is illustrated by case studies based on the two major approaches for uncertainty evaluation–the ISO GUM modeling approach and the Nordtest approach. This tutorial is expected to be of interest to workers in different fields of science who use measurements with amperometric sensors and need to evaluate the uncertainty of the obtained results but are new to the concept of measurement uncertainty. The tutorial is also expected to be educative in order to make measurement results more accurate.

Dissolved Oxygen Concentration Interlaboratory Comparison: What Can We Learn?

“…In reality, the physical and chemical processes underlying the measurements are complex and these measurements are not at all as robust as often considered [8,16]. The results of this intercomparison fully support this statement: Out of altogether 63 measurement results obtained by the participants, 33, which corresponds to 52%, were unacceptable according to the E n numbers.…”

“…The performance of these sensors has dramatically improved over the years [10]. Nevertheless, accurate DO measurement with sensors is not easy because it is influenced by numerous uncertainty sources [8,10,11]. Therefore, the agreement between the sensor-based DO data from different laboratories has long been an issue and has caused a negative perception of the data using sensors in the oceanography community.…”

“…The majority of dissolved oxygen measurements are made with the use of amperometric [8] and optical sensors [9]. The performance of these sensors has dramatically improved over the years [10].…”

Accurate, Dynamic, and Distributed Localization of Phenomena for Mobile Sensor Networks

“…It is worth noting that, in this paper, we do not deal with inaccuracies and the uncertainty of measurement due to the sensor circuitry. We assume that the sensor i is supported by certain mechanisms to handle such uncertainty [Helm et al 2010]. We base our framework on the the derived magnitude µ φ,i corresponding to a phenomenon φ.…”

Cairsens NO2: A Miniature Device Dedicated to the Indicative Measurement of Nitrogen Dioxide in Ambient Air

“…Due to the fact electrochemical cells measurements lie on physicochemical and thermochemical processes, temperature and relative humidity are both key factors of uncertainties [2]. Thus, thanks to a climate chamber, decorrelated effects of temperature and relative humidity have been evaluated according the experimental design proposed in Figure 3.…”