Droplet based microfluidics: spectroscopic characterization of levofloxacin and its SERS detection

Literature Information

Publication Date 2015-01-16
DOI 10.1039/C4CP04970E
Impact Factor 3.676
Authors

I. J. Hidi, M. Jahn


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Abstract

Levofloxacin (Levo), a second generation fluoroquinolone, has both clinical and environmental relevance. Therefore, the implementation of fast, robust and cost effective techniques for its monitoring is required. Here, its spectroscopic characterization and its detection in aqueous environment were carried out using surface enhanced Raman spectroscopy combined with droplet based microfluidics. The Levo molecule interacts with the silver nanoparticles via the carboxylate group and it adopts an upright or slightly tilted orientation. Furthermore, it is shown that the presence of Cl− ions has a strong influence on the enhancement efficiency of the Raman signal of the target molecule. Thus, for the determination of the limit of detection (LOD) the measurements were carried out in the absence of any electrolytes. The estimated LOD is ∼0.8 μM and the linear dynamic window ranges between 1–15 μM. These results were achieved after the normalization of the SERS signal to the Raman mode at 230 cm−1. This band was attributed to the ν(Ag–O) stretching and it accounts for the Levo molecules in the first layer on the Ag nanoparticles.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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