A study on the development of a compensation method for humidity effect in QCM sensor responses

• Published in: Sensors and actuators. B, Chemical Vol. 147; no. 1; pp. 277 - 282
• Main Authors: Mumyakmaz, Bekir, Özmen, Ahmet, Ebeoğlu, Mehmet A., Taşaltın, Cihat, Gürol, İlke
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 18.05.2010
• Subjects: Artificial neural network (ANN); Compensation; Data processing; Electronic nose (E-Nose); Humidity; Humidity compensation; Learning theory; Mathematical models; Microorganisms; Neural networks; Principal component analysis (PCA); Quartz crystal microbalance (QCM); Sensors; Quartz crystal microbalance (QCM); Humidity compensation; Artificial neural network (ANN); Electronic nose (E-Nose); Principal component analysis (PCA)

In this study, humidity influence on quartz crystal microbalance (QCM) sensor responses during gas applications is investigated. The goal is to search a compensation method to remove humidity influence over the QCM sensor array at the data processing stage. Some experiments have been conducted to ob...