2008
DOI: 10.1007/s11237-008-9024-y
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Interface functional architecture using mixed thiol monolayers: Effect of the composition and spatial organization on the immobilization of low-molecular-weight ligands

Abstract: A simple procedure is examined for forming a selective sensor coating using mixed self-assembling thiol monolayers functionalized by molecules of the sulfanilamide antibiotic, sulfamethoxazol (SMX). A model is proposed for the interface processes, which accounts for the complex dependence of the adsorption capacity of the coatings obtained on the surface density of the reactive groups and the low adsorption capacity at high reaction site concentrations. The model was supported by competitive inhibition analysi… Show more

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Cited by 8 publications
(6 citation statements)
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“…39 While there have been numerous works focused on understanding and predicting mixed-ligand monolayer conformations through simulations, 53,63,69,79,149 these are very rarely focused on sensing. 150 Fundamental research is further restricted by what may be the largest obstacle currently facing all mixed-ligand particle applications: the difficulty of the monolayer characterization. In order to examine this issue, the main methods used for the characterization of the mixed-ligand monolayer by all the works cited in this Review were surveyed.…”
Section: Nanoparticle Sensorsmentioning
confidence: 99%
“…39 While there have been numerous works focused on understanding and predicting mixed-ligand monolayer conformations through simulations, 53,63,69,79,149 these are very rarely focused on sensing. 150 Fundamental research is further restricted by what may be the largest obstacle currently facing all mixed-ligand particle applications: the difficulty of the monolayer characterization. In order to examine this issue, the main methods used for the characterization of the mixed-ligand monolayer by all the works cited in this Review were surveyed.…”
Section: Nanoparticle Sensorsmentioning
confidence: 99%
“…This suggests that the existence of "dark areas" in the region of the peaks may be related not so much to real variations of the surface composition as to the features of the surface prole. 82 So, we can assume that the outer cell wall is constructed from the same material for both cell types and the observed "mountains" are the result of the formation of subsurface clusters etc. To verify this observation, force spectroscopy measurements have been performed which indicate the mechanical properties 83,84 Single-cell Raman spectroscopy: measurement conditions A suitable approach to analyze or ngerprint the chemical composition of the cell is the use of vibrational spectroscopy.…”
Section: Afm Imaging Of Wild-type and Genetically Modied Yeast Cellsmentioning
confidence: 99%
“…Currently, the main biosensing approaches involve the integration of nano-sized building blocks such as functionalized nanoparticles, biological macromolecules or conjugates of nanoparticles with bio-recognition sites with surface-based physical transducers. This strategy requires careful control of the interfacial architecture, as illustrated by sensors relying on functionalized gold surfaces: a thin gold film supports a self-assembled monolayers (SAM) of thiols which itself acts as an intermediate layer for the coupling of a wide range of functional biomolecules [6][7][8]. While flexible and powerful, this strategy fails for rough gold substrates; studies have established a correlation between the substrate roughness and the density of defects in SAMs as well as the stability of the monolayer systems itself [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…Gold-based biosensors are widely used for Surface Plasmon Resonance (SPR) measurements which are particularly sensitive to surface imperfections in the gold. This is due to scattering of the captured light and a complex interplay between signal measured and the functionalizing elements of the sensor [1,5,7,13]. Surface roughness leads to broadening of the resonance spectra and increases the background noise [14][15][16]].…”
Section: Introductionmentioning
confidence: 99%