2022
DOI: 10.1007/s00216-022-04012-8
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A molecularly imprinted polymer nanoparticle-based surface plasmon resonance sensor platform for antibiotic detection in river water and milk

Abstract: Using a solid-phase molecular imprinting technique, high affinity nanoparticles (nanoMIPs) selective for the target antibiotics, ciprofloxacin, moxifloxacin and ofloxacin have been synthesised. These have been applied in the development of a surface plasmon resonance (SPR) sensor for the detection of the three antibiotics in both river water and milk. The particles produced demonstrated good uniformity with approximate sizes of 65.8 ± 1.8 nm, 76.3 ± 4.1 nm and 85.7 ± 2.5 nm, and were demonstrated to have affin… Show more

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Cited by 23 publications
(17 citation statements)
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“…As a team we have explored this type of sensor with other compounds in a range of matrices including river water and food samples. 31 The K D values shown in Table 2, are consistent with those present in Table 1, with 29.3 nM, 52.5 nM and 75.1 nM (Table 1) compared with 12.3 nM, 31.9 nM and 28.1 nM (Table 2) for the Andarine, Ligandrol and RAD-140 nanoMIPs, respectively. The slight differences observed are expected given the optical effect of the matrix and that the environmental differences in the injected sample will differ from PBST, in terms of pH, ionic strength etc., which will affect binding interactions.…”
Section: Resultssupporting
confidence: 81%
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“…As a team we have explored this type of sensor with other compounds in a range of matrices including river water and food samples. 31 The K D values shown in Table 2, are consistent with those present in Table 1, with 29.3 nM, 52.5 nM and 75.1 nM (Table 1) compared with 12.3 nM, 31.9 nM and 28.1 nM (Table 2) for the Andarine, Ligandrol and RAD-140 nanoMIPs, respectively. The slight differences observed are expected given the optical effect of the matrix and that the environmental differences in the injected sample will differ from PBST, in terms of pH, ionic strength etc., which will affect binding interactions.…”
Section: Resultssupporting
confidence: 81%
“…The yields matched those of prior work. 31 The size of the nanoMIPs were estimated using dynamic light scattering (DLS) and are presented in This methodology uses EDC/NHS coupling chemistry to enable deposition of the nanoparticles on the surface of the SPR chip. With a high percentage of amine-functionality within the nanoparticles (from NAPA, TBAm and NIPAm) this chemistry is favoured.…”
Section: Resultsmentioning
confidence: 99%
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“…It is generally considered that having much larger sized MIP particles, those in the μm size compared with nm, will decrease the binding ability of MIPs, due to smaller (nm sized) particles having a much bigger relative surface area, thus leading to more usable material [27,31,32]. The difference in size for the particles produced within this study is not considered significant enough to affect the rebinding of the target molecule, as demonstrated by previous work [20,25]. After removal of the template through a series of methanol/acetic acid (3:1 v/v) washes, the particles were ready for rebinding studies.…”
Section: Magnetic Molecularly Imprinted Polymer Nanoparticles Synthesismentioning
confidence: 62%
“…It has recently received significant attention owing to its high selectivity and sensitivity toward targets. Applications of MIP have been demonstrated in drug delivery, , solid-phase extraction coupled with liquid chromatography, , catalysis, , and environmental and biomedical sensing. Various techniques have been utilized to synthesize MIP layers, including free-radical polymerization, chemical grafting, soft lithographies, molecular self-assembly, and electropolymerization. , Among these techniques, electropolymerization is a practical approach for MIP synthesis because a target molecule can be added to the electrolyte and entrapped in a conductive polymeric film. The molecules are sequentially extracted or leached out of the external polymeric surfaces to create recognition sites for MIP.…”
Section: Introductionmentioning
confidence: 99%