We report on the formation kinetics of mixed self-assembled monolayers (SAMs) comprising 16-mercaptohexadecanoic acid (MHDA) and 11-mercapto-1-undecanol (MUDO) thiols on GaAs(100) substrates. These compounds were selected for their potential in constructing highly selective and efficient architectures for biosensing applications. The molecular composition and quality of one-compound and mixed SAMs were determined by the Fourier transform infrared absorption spectroscopy measurements. The formation of enhanced-quality mixed SAMs was investigated as a function of the molecular composition of the thiol mixture and the proportion of ethanol/water solvent used during their arrangement. Furthermore, the formation of mixed SAMs has been carried out by successive immersion of MHDA SAMs in MUDO thiol solutions and MUDO SAMs in MHDA thiol solution through the process involving thiol-thiol substitution. Our results, in addition to confirming that water-ethanol-based solvents improve the packing density of single thiol monolayers, demonstrate the attractive role of water-ethanol solvents in forming superior quality mixed SAMs.
Protein biomarker discovery and validation are crucial for diagnosis, prognosis, and theranostics of human pathologies; "omics" approaches bring new insights in this field. In particular, the combination of immuno-sensors in array format with mass spectrometry efficiently extends the classical immunoassay format and includes molecular characterization. Here, we coupled surface plasmon resonance imaging (SPRi) with MALDI-TOF mass spectrometry in a hyphenated technique which enables multiplexed quantification of binding by SPRi and molecular characterization of interacting partners by subsequent MS analysis. This adds specificity, because MS enables differentiation of molecules that are difficult to distinguish by use of antibodies, for example truncation variants or protein isoforms. Proof of concept was established for detection, identification, and characterization of a potential breast cancer marker, the LAG3 protein, at ~1 μg mL(-1), added to human plasma. The analytical performance of this new method, dubbed "SUPRA-MS", was established, particularly its specificity (S/N > 10) and reliability (100 % LAG3 identification with high significant mascot score >87.9). The adjusted format for rapid, collective, and automated on-chip MALDI-MS analysis is robust at the femtomole level and has numerous potential applications in proteomics.
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