Calibration transfer in temperature modulated gas sensor arrays

Abstract

Shifts in working temperature are an important issue that prevents the successful transfer of calibration models from one chemical instrument to another. This effect is of special relevance when working with gas sensor arrays modulated in temperature. In this paper, we study the use of multivariate techniques to transfer the calibration model from a temperature modulated gas sensor array to another when a global change of temperature occurs. To do so, we built 12 identical master sensor arrays composed of three different types of commercial Figaro sensors and acquired a dataset of sensor responses to three pure substances (ethanol, acetone and butanone) dosed at 7 concentrations. The master arrays are then shifted in temperature (from-50 to 50°C, T = 10°C) and considered as slave arrays. Data correction is performed for an increasing number of transfer samples with 4 different calibration transfer techniques: Direct Standardization, Piece-wise Direct Standardization, Orthogonal Signal Correction and Generalized Least Squares Weighting. In order to evaluate the performance of the calibration transfer, we compare the Root Mean Square Error of Prediction (RMSEP) of master and slave arrays, for each instrument correction. Best results are obtained from Piece-wise Direct standardization, which exhibits the lower RMSEP values after correction for the smaller number of transfer samples.

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative machine learning approaches

“…Furthermore, owing to method of fabrications, some sensors have been shown to have poor sensor-to-sensor reproducibility. This hampers the use of a single calibration function, thus requiring an ad hoc calibration procedure for each chemical multisensor device or, alternatively, the development of calibration transfer strategies [16], [17]. As such, calibration transfer is an active and relevant field for researchers in artificial olfaction.…”

Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach

“…Orthogonal signal correction (OSC) is another multivariate method similar to CC-PCA, which aims to find the undesired component through searching for subspace that is orthogonal to the target variable [40]. Both generalized least squares weighting (GLSW) [41] and direct standardization (DS) [42] are calibration transfer methods. DRCA is a recent subspace method proposed by Zhang et al [21].…”

Calibration Transfer of Soil Total Carbon and Total Nitrogen between Two Different Types of Soils Based on Visible-Near-Infrared Reflectance Spectroscopy

“…e calibration transfer studied in this paper was different from previous studies, which were mainly for the calibration transfer between two different types of samples. Previous studies had solved the change of the same sample in different instruments and testing environments, thus ensuring the consistency of the instruments [13][14][15][16][17][18]. Fernandez et al used four different calibration transfer techniques (Direct Standardization, Piecewise Direct Standardization, Orthogonal Signal Correction, and Generalized Least Squares Weighting) to offset the effect of temperature change on the prediction of gas sensors [13].…”

“…Currently, studies are concentrated on the similar questions for the same samples derived from different instruments, measurement conditions, or other aspects (called calibration transfer) [15][16][17][18][19]. Many algorithms have successfully resolved these calibration transfer, such as direct standardization (DS) [20,21], piecewise direct standardization (PDS) [22,23], orthogonal signal method (OSC) [24,25], wavelet transform (WT) algorithm [26,27], and canonical correlation analysis(CCA) [28,29].…”