Detection of trace amounts of target proteins in the presence of high concentrations of matrix proteins (e.g., serum samples) without separation steps is of great significance to biomedical research but remains technically challenging. Here we report a "membrane cloaking" method to overcome nonspecific protein adsorption and fouling problems for label-free surface plasmon resonance detection and heterogeneous immunosensing. A thin, hybrid, self-assembled monolayer on gold was formed with 70 mol % mercaptopropanol and 30 mol % cysteamine/propanedithiol to facilitate membrane fusion and covalent attachment of antibodies. After antibody immobilization, the surface was incubated with lipid vesicles, which fused to form a supported membrane. The analyte spiked in serum was introduced for binding, and the membrane and nonspecifically adsorbed proteins on the membrane were subsequently removed using a nonionic surfactant before the final measurement was carried out. Selection of a suitable surfactant can preserve antibody/antigen binding and selectively remove the membrane, allowing accurate measurement of the captured proteins without interference from nonspecifically adsorbed species. Surface plasmon resonance (SPR) quantification of IgG spiked in undiluted serum ( approximately 75 mg/mL protein) was achieved with the membrane cloaking method, whereas direct measurement without membrane removal resulted in a significantly large error. The cloaking method was also used to develop an enzyme amplified amperometric assay using HRP-conjugated IgG. Detection of concentrations as low as 5 fM proteins was obtained. Finally, a membrane cloaking assay combining SPR and in situ electrochemical measurement was demonstrated on a gold substrate. Similar sensitivity was observed using a continuous flow injection measurement. The method opens new avenues to develop direct assay methods with ultrahigh sensitivity for protein samples using SPR and enzyme-linked amplification mechanisms.

We report the development of an air-stable, supported membrane array by use of photolithography for label-free detection of lipid-protein interactions. Phosphoinositides and their phosphorylated derivatives (PIPs) were studied for their binding properties to proteins with lipid microarray in combination with surface plasmon resonance imaging (SPRi). We have demonstrated a simple method to fabricate lipid arrays using photoresist and carried out a series of surface characterizations with SPRi, ac impedance, cyclic voltammetry, and fluorescence microscopy to validate the array quality and lipid bilayer formation. A number of lipid compositions have been tested for the robustness of resulting membranes when undergoing dehydration and rehydration procedures, and the 1,2-dioleoyl-sn-glycero-3-ethylphosphocholine/poly(ethylene glycol)-phosphatidylethanolamine (DOPC+/PEG-PE) system stands out as the best performer that yields the recovery to within 2% of the original state according to SPR sensorgrams. Limits of detection on the dehydrated/rehydrated DOPC+/PEG-PE membranes were determined to be 33 nM for avidin binding to biotinylated lipids, 73.5 nM for cholera toxin to GM1, and 25 nM for PtdIns(4,5)P2-binding protein (P(4,5)BP) to PtdIns(4,5)P2 lipid, respectively. These results demonstrate the suitability and sensitivity of this membrane for constructing membrane arrays for SPRi analysis under ambient conditions. With the use of this addressable and functional lipid membrane array, the screening of specific lipid-protein interactions has been conducted. Strong and specific interactions between P(4,5)BP and PtdIns(4,5)P2/DOPC+/PEG-PE membrane were observed as expected, while cross reactions were spotted for P(4,5)BP/PtdIns(4)P and avidin/GM1 at varied degrees. The air-stable membrane array demonstrated here presents a simple, effective approach for constructing functional membrane surfaces for screening applications, which opens a new avenue for the label-free study of membrane proteins and other forms of lipid-membrane interactions.

Supported bilayer membranes (SBMs) formed on solid substrates, in particular glass, provide an ideal cell mimicking model system that has been found to be highly useful for biosensing applications. Although the stability of the membrane structures is known to determine the applicability, the subject has not been extensively investigated, largely because of the lack of convenient methods to monitor changes of membrane properties on glass in real time. This work reports the evaluation of the stability properties of a series of SBMs against chemical and air damage by use of surface plasmon resonance spectroscopy and nanoglassified gold substrates. Seven SBMs composed of phosphatidylcholine and DOPC+, including single-component, mixed, protein-reinforced SBMs (rSBMs) and protein-tethered bilayer membranes (ptBLMs), are studied. The stability properties under various conditions, especially the effects of surfactants, organic solvents, and dehydration damage on the bilayers, are compared. PC membranes are found to be easily removed from the glassy surfaces using relatively low concentrations of the surfactants, while DOPC+ is markedly more stable toward nonionic surfactant. DOPC+ membranes also demonstrated remarkable air stability while PC films exhibited considerable damage from dehydration. Doping of cholesterol does not improve PC's stability against SDS and Triton but changes the lipid membrane packing enough to protect against dehydration damage. Although rSBMs and ptBLMs improve air stability to a certain degree, they are still quite susceptible to significant damage/removal from ionic and nonionic surfactants at lower concentrations. Overall, DOPC+ has noted higher stability on glass, likely due to the favorable electrostatic interaction between the silicate surface and the lipid headgroup, making it a good candidate for application. Nanoglassy SPR proves to be an attractive platform capable of rapidly screening film stability in real-time, providing critical information for future work using supported membranes for sensing applications.

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The influence of dissolved CO2 on the potentiometric responses of all-solid-state ion-selective electrodes (ISEs) was systematically examined with four different types of electrodes fabricated by pairing pH-sensitive and pH-insensitive metal electrodes (Pt and Ag/AgCl, respectively) with pH-sensitive and pH-insensitive ion-selective membranes (H+-selective membrane based on tridodecylamine and Na+-selective membrane based on tetraethyl calix[4]arenetetraacetate, respectively). The experimental results clearly showed that the carbonic acid formed by the diffused CO2 and water vapor at the membrane/metal electrode interface varies the phase boundary potentials both at the inner side of the H+-selective membrane (deltaE(in)mem) and at the metal electrode surface (deltaEelec). The potential changes, deltaE(in)mem and deltaEelec, occurring at the facing boundaries, are opposite in their sign and result in a canceling effect if both the membrane and metal surface are pH-sensitive. Consequently, the H+-selective membrane coated on a pH-sensitive electrode (Pt) tends to exhibit a smaller CO2 interference than that on a pH-insensitive electrode (Ag/AgCl). When the all-solid-state Na+ and K+ ISEs were fabricated with both pH-insensitive metal electrode and ion-selective membrane, they did not suffer from CO2 interference. It was also confirmed that plasticization of the PVC leads to increased CO2 permeation. Various types of intermediate layers were examined to reduce the CO2 interference problem in the fabrication of H+-selective all-solid-state ISEs. The results indicated that the H+-selective electrode needs an intermediate layer that maintains a constant pH unless the carbonic acid formation at the interfacial area is effectively quenched.

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This paper presents a novel trajectory planning optimization process for a mobile robot to capture a mobile sound source (MSS) efficiently. The sound source can be an arbitrary object for the mobile robot to follow, such as a human being. The mobile robot is equipped with a microphone array so that it can obtain the location and direction of the MSS. During the capturing process, the location and direction of the MSS need to be known in advance so that an optimal path for capturing the sound source can be generated based upon a single or a double curvature path. Also a path predictive algorithm is used to estimate the moving path of the sound source. The conventional Kalman filter is used to realize an efficient prediction process for the mobile robot to capture the sound source quickly and accurately. The validity of the proposed algorithm has been demonstrated through its application in real experiments.