Abstract

Industrial process monitoring is an important field of research where different chemical processes are monitored and controlled. In this work, electrical impedance spectroscopy (EIS) was used to analyze antisolvent based crystallization of sucrose solutions. The impedance and phase spectra were recorded for four known sucrose concentrations in water, and for each case, four predetermined amounts of ethanol were added. As a result, sixteen different solutions involving sucrose solutions of different concentrations and ethanol to water ratios were analyzed. Significant differences were observed in the magnitude and phase spectra of the solutions in the frequency range of 50 kHz to 300 kHz. The experimentally obtained data from the EIS were converted into frequency response models. Three continuous-time transfer function models of the first-order, second-order, and a second-order with a zero were estimated and compared. In addition, a 2-D electrical resistance tomography (ERT) system with a low conductivity sensor unit was designed and tested with demineralized water, tap water and industrial food grade saturated sucrose solution. Non-conducting phantom and sugar crystals were observed within the saturated sucrose solution using the Bayesian reconstruction algorithm. These demonstrations have the potential to be developed into a multi-frequency ERT systems for monitoring the distribution of the crystals in the reactor. The EIS modality can be a complementary process analytical technology (PAT) tool indicating supersaturation status and provide quality assurance.

Highlights

  • Industrial process monitoring and automation is an important field of applied research, which involves development and implementation of novel process analytical technologies (PAT) in a variety of industries such as food, pharmaceutical, specialty chemicals, and petroleum

  • A large number of process analytical technology (PAT) instrumentation, sensors and measurement techniques [1,2] have recently emerged such as attenuated total reflectance Fourier-transform infrared (ATR-FTIR), focused beam reflectance measurement (FBRM), Raman spectroscopy, particle vision and measurement (PVM) [3], electrical capacitance tomography [4,5], electrical resistance tomography [6] and ultrasound tomography [7,8]

  • Results for Electrical Resistance Tomography Experiments of 21 difference in the currents detected by the adjacent sink electrodes was higher than the 16 sink electrodes located at the opposite periphery

Read more

Summary

Introduction

Industrial process monitoring and automation is an important field of applied research, which involves development and implementation of novel process analytical technologies (PAT) in a variety of industries such as food, pharmaceutical, specialty chemicals, and petroleum. Monitoring and control of processes at the industrial scale are inherently challenging due to the scale, sensitivity, and complexity of the manufacturing units. A large number of PAT instrumentation, sensors and measurement techniques [1,2] have recently emerged such as attenuated total reflectance Fourier-transform infrared (ATR-FTIR), focused beam reflectance measurement (FBRM), Raman spectroscopy, particle vision and measurement (PVM) [3], electrical capacitance tomography [4,5], electrical resistance tomography [6] and ultrasound tomography [7,8]. Sci. 2020, 10, 3903 of measurement technique (i.e. in situ, online, or offline), different sensor technologies are adopted

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call