A simple on-line detection system based on fiber-optic sensing for the realtime monitoring of fixed bed adsorption processes of molecularly imprinted polymers

•On-line, realtime measurement of fixed bed adsorption process was proposed based on fiber-optic sensing.•The method could provide breakthrough curves with whole data.•High accuracy and reproducibility with less time and labor cost were attained owing to on-line and automatic process.•Simple instrumentation with easy operation greatly accelerated analysis process and satisfied wider practical needs.•The imprinted polymers demonstrated great potential application in the treatment of 2,4-D wastewater. Fixed bed adsorption is widely used for separations and purifications of active components in medicine, and for wastewater treatment. At present, fixed bed adsorption breakthrough curve is generally obtained by manual sampling and off-line detection. In this study, we proposed a method for on-line monitoring of fixed bed adsorption process using a self-assembled fiber-optic sensing (FOS) system. The adsorption of 2,4-dichlorophenoxyacetic acid (2,4-D) on the fixed bed packed with molecularly imprinted polymers (MIPs) and non-imprinted polymers (NIPs) were studied. The reproducibility and precision of the system was investigated. The relative standard deviation (RSD) of the system was less than 1.54%, which indicates that the system has a good reproducibility. The effects of initial concentration, flow rate, adsorbent mass and particle size on the breakthrough curves were investigated. Through screening, it was found that adsorption kinetics of the polymer materials fit to Thomas and Yoon-Nelson models. The MIPs showed high binding capacity, good selectivity, fast adsorption rate, indicating a great potential for the treatment of 2,4-D contaminated water. Moreover, this study has identified that the detection method has the advantages of being on-line, realtime, simple, and accurate. The on-line method can facilitate the study of fixed bed adsorption processes and accelerate the understanding of adsorption kinetics.