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- W2807536362 abstract "Caffeine is a common pharmaceutical and personal care product pollutant in wastewater. This work offers rapid and single-step detection of caffeine in an aquatic matrix based on high performance surface-enhanced Raman scattering (SERS). Novel chemical SERS nanosensors were developed employing molecularly-imprinted polymer (MIP) particles loaded with Ag nanoparticles (AgNPs) using precipitation polymerization to form AgNPs@MIP nanocomposites. Theophylline was applied as a dummy template molecule in the synthesis process due to its high structural similarity with caffeine and greater availability. The nanocomposite was characterized by Fourier transform infrared spectroscopy(FTIR), X-ray diffraction(XRD), and ultraviolet-visible (UV-vis) spectroscopy. Static and kinetic adsorption testing demonstrated the specific affinity of AgNPs@MIP nanocomposites for caffeine and a rapid adsorption equilibration rate. Moreover, a simple solid phase extraction cartridge comprising AgNPs@MIP nanocomposites as adsorbents (AgNPs@MISPE), a syringe, and a removable microporous membrane were employed to detect the SERS signal of caffeine. The AgNPs@MISPE was used to detect caffeine with excellent uniformity (relative standard deviation, RSD = 4.8%) and good repeatability (RSD = 8.7%). The separation and detection processes were integrated into a single step, and the overall analysis time was 23 min. The detection limit was 100 ng L-1, which is less than the caffeine content reported in many rivers. The experimental results demonstrate that the proposed chemical nanosensors are a low-cost and reliable tool for the rapid screening of caffeine in wastewater or other aquatic matrices." @default.
- W2807536362 created "2018-06-13" @default.
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- W2807536362 date "2018-11-01" @default.
- W2807536362 modified "2023-10-14" @default.
- W2807536362 title "Chemical nanosensors based on molecularly-imprinted polymers doped with silver nanoparticles for the rapid detection of caffeine in wastewater" @default.
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- W2807536362 doi "https://doi.org/10.1016/j.aca.2018.06.012" @default.
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