Abstract
Molecularly imprinted polymer-based surface plasmon resonance sensor prepared using silver nanoparticles was designed for the selective recognition of Penicillin G (PEN-G) antibiotic from both aqueous solution and milk sample. PEN-G imprinted sensors (NpMIPs) SPR sensor was fabricated using poly (2-hydroxyethyl methacrylate-N-methacroyl-(L)-cysteine methyl ester)-silver nanoparticles-N-methacryloyl-L-phenylalanine methyl ester polymer by embedding silver nanoparticles (AgNPs) into the polymeric film structure. In addition, a non-imprinted (NpNIPs) SPR sensor was prepared by utilizing the same polymerization recipe without addition of the PEN-G template molecule to evaluate the imprinting effect. FTIR-ATR spectrophotometer, ellipsometer, contact angle measurements were used for the characterization of NpMIPs SPR sensors. The linear concentration range of 0.01–10 ng/mL PEN-G was studied for kinetic analyses. The augmenting effect of AgNPs used to increase the surface plasmon resonance signal response was examined using polymer-based PEN-G imprinted (MIPs) sensor without the addition of AgNPs. The antibiotic amount present in milk chosen as a real sample was measured by spiking PEN-G into the milk. According to the Scatchard, Langmuir, Freundlich and Langmuir–Freundlich adsorption models, the interaction mechanism was estimated to be compatible with the Langmuir model.
Highlights
Surface plasmon resonance (SPR) sensors are widely used to detect molecules because they are simple to prepare, inexpensive, have high specificity and sensitivity, do not need labeling and can perform real-time measurements with ease of miniaturization [1,2,3,4]
The shift in resonant angle was recorded during the experiments by applying different concentrations of Penicillin G (PEN-G) solution to the SPR sensor
Selective and sensitive SPR sensor technology was used for PEN-G recognition by utilizing molecular imprinting technology to produce the NpMIP SPR sensor
Summary
Surface plasmon resonance (SPR) sensors are widely used to detect molecules because they are simple to prepare, inexpensive, have high specificity and sensitivity, do not need labeling and can perform real-time measurements with ease of miniaturization [1,2,3,4]. The development of high-throughput, highly sensitive, cost-effective methods to be used for in situ detection of food contaminants is still limited [9,10,11]. This is due to multiple signal overlapping or mutual interference and cross-reactions between different analytes with similar molecular structures [12,13]
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