Mixed Polymer Brushes for the Selective Capture and Release of Proteins.

Selective protein adsorption is a key challenge for the development of biosensors, separation technologies, and smart materials for medicine and biotechnologies. In this work, a strategy was developed for selective protein adsorption, based on the use of mixed polymer brushes composed of poly(ethylene oxide) (PEO), a protein-repellent polymer, and poly(acrylic acid) (PAA), a weak polyacid whose conformation changes according to the pH and ionic strength of the surrounding medium. A mixture of lysozyme (Lyz), human serum albumin (HSA), and human fibrinogen (Fb) was used to demonstrate the success of this strategy. Polymer brush formation and protein adsorption were monitored by quartz crystal microbalance, whereas protein identification after adsorption from the mixture was performed by time-of-flight secondary ion mass spectrometry (ToF-SIMS) with principal component analysis and gel electrophoresis with silver staining. For the ToF-SIMS measurements, adsorption was first performed from single-protein solutions in order to identify characteristic peaks of each protein. Next, adsorption was performed from the mixture of the three proteins. Proteins were also desorbed from the brushes and analyzed by gel electrophoresis with silver staining for further identification. Selective adsorption of Lyz from a mixture of Lyz/HSA/Fb was successfully achieved at pH 9.0 and ionic strength of 10-3 M, while Lyz and HSA, but not Fb, were adsorbed at ionic strength 10-2 M and pH 9.0. The results demonstrate that by controlling the ionic strength, selective adsorption can be achieved from protein mixtures on PEO/PAA mixed brushes, predominantly because of the resulting control on electrostatic interactions. In well-chosen conditions, the selectively adsorbed proteins can also be fully recovered from the brushes by a simple ionic strength stimulus. The developed systems will find applications as responsive biointerfaces in the fields of separation technologies, biosensing, drug delivery, and nanomedicine.

Temperature Dependence of Arn+ Cluster Backscattering from Polymer Surfaces: a New Method to Determine the Surface Glass Transition Temperature.

In this work, time-of-flight secondary ion mass spectrometry (ToF-SIMS) was used to study the intensity variations of the backscattered Arn+ clusters as a function of temperature for several amorphous polymer surfaces (polyolefins, polystyrene, and polymethyl methacrylate). For all these investigated polymers, our results show a transition of the ratio Ar2+/(Ar2+ + Ar3+) when the temperature is scanned from -120 °C to +125 °C (the exact limits depend on the studied polymer). This transition generally spans over a few tens of degrees and the temperature of the inflection point of each curve is always lower than the bulk glass transition temperature (Tg) reported for the considered polymer. Due to the surface sensitivity of the cluster backscattering process (several nanometers), the presented analysis could provide a new method to specifically evaluate a surface transition temperature of polymers, with the same lateral resolution as the gas cluster beam. Graphical abstract ᅟ.

Measuring Compositions in Organic Depth Profiling: Results from a VAMAS Interlaboratory Study.

We report the results of a VAMAS (Versailles Project on Advanced Materials and Standards) interlaboratory study on the measurement of composition in organic depth profiling. Layered samples with known binary compositions of Irganox 1010 and either Irganox 1098 or Fmoc-pentafluoro-l-phenylalanine in each layer were manufactured in a single batch and distributed to more than 20 participating laboratories. The samples were analyzed using argon cluster ion sputtering and either X-ray photoelectron spectroscopy (XPS) or time-of-flight secondary ion mass spectrometry (ToF-SIMS) to generate depth profiles. Participants were asked to estimate the volume fractions in two of the layers and were provided with the compositions of all other layers. Participants using XPS provided volume fractions within 0.03 of the nominal values. Participants using ToF-SIMS either made no attempt, or used various methods that gave results ranging in error from 0.02 to over 0.10 in volume fraction, the latter representing a 50% relative error for a nominal volume fraction of 0.2. Error was predominantly caused by inadequacy in the ability to compensate for primary ion intensity variations and the matrix effect in SIMS. Matrix effects in these materials appear to be more pronounced as the number of atoms in both the primary analytical ion and the secondary ion increase. Using the participants' data we show that organic SIMS matrix effects can be measured and are remarkably consistent between instruments. We provide recommendations for identifying and compensating for matrix effects. Finally, we demonstrate, using a simple normalization method, that virtually all ToF-SIMS participants could have obtained estimates of volume fraction that were at least as accurate and consistent as XPS.