Calibration Update and Drift Correction for Electronic Noses and Tongues

Area of Science:

• Analytical Chemistry
• Sensor Technology

Background:

• Multisensor systems like electronic noses and tongues face challenges with limited temporal validity of calibration models.
• Frequent recalibration is costly and time-consuming due to extensive reference sample requirements and limited availability.

Purpose of the Study:

• To provide an overview of methods for drift correction and calibration update in multisensor systems.
• To discuss practical aspects of implementing these alternative calibration strategies.

Main Methods:

• Drift correction: Modeling and correcting sensor drift over time.
• Calibration standardization: Adjusting new data by establishing relationships between experimental conditions using a subset of samples.
• Calibration update: Recalculating models with new data to incorporate new sources of variance.

Main Results:

• The paper categorizes and explains key approaches to extend the lifespan of multivariate calibration models.
• It highlights methods that offer alternatives to full recalibration, addressing sensor drift and matrix effects.
• Practical implementation considerations for these techniques are discussed.

Conclusions:

• Drift correction and calibration update methods offer viable alternatives to frequent recalibration of electronic noses and tongues.
• These strategies are crucial for enhancing the practical utility and cost-effectiveness of multisensor systems in gas and liquid analysis.