An investigation of the influence of nanofibers morphology on the performance of QCM-based ethanol vapor sensor utilizing polyvinylpyrrolidone nanofibers active layer

Quartz crystal microbalances (QCMs) coated by polyvinylpyrrolidone (PVP) nanofibers with controlled morphology have been made for ethanol vapor detection. We used electrospinning to deposit PVP nanofibers of different morphologies (spherical-beaded, spindle-beaded, and pure nanofiber) on a QCM surface to study the effect on sensor performance. BET characterization revealed that the spherical-beaded nanofiber had the highest BET-specific surface area than the other morphologies, which improves the QCM sensor sensitivity, limit of quantification (LOQ), limit of detection (LOD), and sensor response. QCM coated with spherical-beaded nano -fiber showed improved sensitivity of 2.632 Hz/ppm, lower LOD and LOQ of 0.018 ppm and 0.061 ppm, and better response compared to those coated with spindle-beaded and pure nanofiber. Based on adsorption isotherm models, Freundlich adsorption isotherm was found to be the most suitable for describing ethanol vapor adsorption on the sensor. The high sensitivity of the sensor to ethanol vapor was attributed to hydrogen bonding interactions between the sensor and the ethanol molecules. This study shows that the QCM-based sensor per-formance can be improved by modifying the morphology of nanofibrous coating layer.

Automated summary

Quartz crystal microbalances coated with different morphologies (spherical-beaded, spindle-beaded, and pure nanofiber) of polyvinylpyrrolidone (PVP) nanofibers were used for ethanol vapor detection. The spherical-beaded nanofiber coating showed the highest BET-specific surface area, resulting in improved sensor sensitivity, limit of quantification (LOQ), limit of detection (LOD), and sensor response. The QCM coated with spherical-beaded nanofiber demonstrated a sensitivity of 2.632 Hz/ppm, lower LOD and LOQ of 0.018 ppm and 0.061 ppm, and better response compared to the other coatings. Freundlich adsorption isotherm was found to be the most suitable model for describing ethanol vapor adsorption on the sensor. The high sensitivity of the sensor to ethanol vapor was attributed to hydrogen bonding interactions between the sensor and the ethanol molecules. This study highlights the importance of modifying the morphology of the nanofibrous coating layer for improving the performance of QCM-based sensors.