| Title: | Adsorption Thermodynamic Analysis of a Quartz Tuning Fork Based Sensor for Volatile Organic Compounds Detection |
| Author(s): | Deng Y; Liu NY; Tsow F; Xian X; Forzani ES; |
| Address: | "School for Engineering of Matter, Transport and Energy and double daggerCenter for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University , Tempe, Arizona 85287, United States" |
| DOI: | 10.1021/acssensors.7b00518 |
| ISSN/ISBN: | 2379-3694 (Electronic) 2379-3694 (Linking) |
| Abstract: | "A volatile organic compounds (VOC) sensor based on molecularly imprinted polymer (MIP) modified quartz tuning fork (QTF) has been developed. In this paper, the stability of the modified sensor as a function of the MIP composition, and the temperature effect of the analyte adsorption on the sensing transduction mechanism are evaluated. By mixing MIP and PS together, the stability was improved. A target analyte, o-xylene, was chosen as the VOC model to study the sensor response in a temperature range of 6-40 degrees C. Langmuir model fitted adsorption isotherms were used for thermodynamic analysis. The changes in the sensitivity of the QTF sensor to temperature rendered different behaviors. For a freshly modified QTF sensor, the adsorption response increased with increasing temperature, while for an aged QTF sensor, the adsorption response decreased with increasing temperature. The results indicated that the enthalpy change of the MIP and PS composition sensing material changes from positive to negative over the course of aging. The characterization of the reaction enabled the definition of sensor calibration conditions and stable sensor performance in field testing conditions" |
| Keywords: | "Adsorption Chemistry Techniques, Analytical/*instrumentation Molecular Imprinting Polymers/chemical synthesis/chemistry Quartz/*chemistry Temperature Thermodynamics Time Factors Volatile Organic Compounds/*analysis/chemistry Voc molecularly imprinted poly;" |
| Notes: | "MedlineDeng, Yue Liu, Nai-Yuan Tsow, Francis Xian, Xiaojun Forzani, Erica S eng U01 ES016064/ES/NIEHS NIH HHS/ R44 ES021678/ES/NIEHS NIH HHS/ Research Support, N.I.H., Extramural 2017/10/24 ACS Sens. 2017 Nov 22; 2(11):1662-1668. doi: 10.1021/acssensors.7b00518. Epub 2017 Nov 1" |
