Droplet Polymer Bilayers for Bioelectronic Membrane Interfacing.

Model membranes interfaced with bioelectronics allow for the exploration of fundamental cell processes and the design of biomimetic sensors. Organic conducting polymers are an attractive surface on which to study the electrical properties of membranes because of their low impedance, high biocompatibility, and hygroscopic nature. However, establishing supported lipid bilayers (SLBs) on conducting polymers has lagged significantly behind other substrate materials, namely, for challenges in membrane electrical sealing and stability. Unlike SLBs that are highly dependent on surface interactions, droplet interface bilayers (DIBs) and droplet hydrogel bilayers (DHBs) leverage the energetically favorable organization of phospholipids at atomically smooth liquid interfaces to build high-integrity membranes. For the first time, we report the formation of droplet polymer bilayers (DPBs) between a lipid-coated aqueous droplet and the high-performing conducting polymer poly(3,4-ethylenedioxythiophene) polystyrenesulfonate (PEDOT:PSS). The resulting bilayers can be produced from a range of lipid compositions and demonstrate strong electrical sealing that outcompetes SLBs. DPBs are subsequently translated to patterned and planar microelectrode arrays to ease barriers to implementation and improve the reliability of membrane formation. This platform enables more reproducible and robust membranes on conducting polymers to further the mission of merging bioelectronics and synthetic, natural, or hybrid bilayer membranes.

Hybrid Supported Lipid Bilayers for Bioinspired Bioelectronics with Enhanced Stability.

A promising new class of biosensors leverages the sensing mechanisms of living cells by incorporating native transmembrane proteins into biomimetic membranes. Conducting polymers (CPs) can further improve the detection of electrochemical signals from these biological recognition elements through their low electrical impedance. Supported lipid bilayers (SLBs) on CPs mimic the structure and biology of the cell membrane to enable such sensing, but their extrapolation to new target analytes and healthcare applications has been difficult due to their poor stability and limited membrane properties. Blending native phospholipids with synthetic block copolymers to create a hybrid SLB (HSLB) may address these challenges by allowing for the tuning of chemical and physical properties during membrane design. We establish the first example of HSLBs on a CP device and show that polymer incorporation enhances bilayer resilience and thus offers important benefits toward bio-hybrid bioelectronics for sensing applications. Importantly, HSLBs outperform traditional phospholipid bilayers in stability by exhibiting strong electrical sealing after exposure to physiologically relevant enzymes that cause phospholipid hydrolysis and membrane degradation. We investigate the impact of HSLB composition on membranes and device performance and demonstrate the ability to finely adjust the lateral diffusivity of HSLBs with modest changes in block copolymer content through a large compositional range. The inclusion of the block copolymer into the bilayer does not disrupt electrical sealing on CP electrodes, an essential metric for electrochemical sensors, or the insertion of a representative transmembrane protein. This work interfacing tunable and stable HSLBs with CPs paves the way for future bioinspired sensors that combine the exciting developments from both bioelectronics and synthetic biology.

Adverse childhood experiences and risky behaviors in male college students.

Objective: The current study examined associations between ACEs and health-risk behaviors in male college students.Participants:795 men who attended a large southern public university.Method:One-way ANOVA was used to explore whether the ACEs of sexual abuse, exposure to interparental violence, household mental illness, and household substance abuse significantly affected male college students' high risk drinking, number of sexual partners, and/or impulsivity.Results:Sexual abuse was significantly associated with all three measured outcomes and had the strongest associations of all assessed ACEs. Exposure to interparental violence was significantly associated only with number of sexual partners. Household substance abuse was significantly associated with high risk drinking and number of sexual partners. A simple linear regression revealed that for each additional ACE, students in the sample increased their risky behaviors.Conclusions:Results confirm a dose-response between ACEs and negative outcomes. Mindfulness training, policy/funding advocacy, and trauma-informed support are discussed as implications.

Perceived Discrimination in School: a Longitudinal Look at the Impact on Expectations and Health.

The purpose of the study was to look at levels of perceived discrimination in school among students of different races and to assess whether there are significant short- or long-term effects as they develop. This study analyzed data from the National Longitudinal Study of Adolescent Health, which is a multi-stage nationally representative study of individuals who were in 7th-12th grade during the 1994-1995 school year. Responses on teacher discrimination items showed that Black students reported the highest levels of perceived teacher discrimination. Educational expectations were lowest for Hispanic students. At wave three, participants who identified their race/ethnicity as Hispanic or other reported the worst overall health, whereas at wave four, White participants had significantly better overall health than the other three groups. Teacher discrimination was found to be a significant predictor for educational expectations, income expectations, and overall health eight and 15 years later. When stratified by race, higher teacher discrimination predicted lower educational expectations and poorer overall health eight years later for Black, Hispanic, and White students.

The effect of residual palladium on the performance of organic electrochemical transistors.

Organic electrochemical transistors are a promising technology for bioelectronic devices, with applications in neuromorphic computing and healthcare. The active component enabling an organic electrochemical transistor is the organic mixed ionic-electronic conductor whose optimization is critical for realizing high-performing devices. In this study, the influence of purity and molecular weight is examined for a p-type polythiophene and an n-type naphthalene diimide-based polymer in improving the performance and safety of organic electrochemical transistors. Our preparative GPC purification reduced the Pd content in the polymers and improved their organic electrochemical transistor mobility by ~60% and 80% for the p- and n-type materials, respectively. These findings demonstrate the paramount importance of removing residual Pd, which was concluded to be more critical than optimization of a polymer's molecular weight, to improve organic electrochemical transistor performance and that there is readily available improvement in performance and stability of many of the reported organic mixed ionic-electronic conductors.

Sample Preparation in Quartz Crystal Microbalance Measurements of Protein Adsorption and Polymer Mechanics.

In this study, we present various examples of how thin film preparation for quartz crystal microbalance experiments informs the appropriate modeling of the data and determines which properties of the film can be quantified. The quartz crystal microbalance offers a uniquely sensitive platform for measuring fine changes in mass and/or mechanical properties of an applied film by observing the changes in mechanical resonance of a quartz crystal oscillating at high frequency. The advantages of this approach include its experimental versatility, ability to study changes in properties over a wide range of experimental time lengths, and the use of small sample sizes. We demonstrate that, based on the thickness and shear modulus of the layer deposited on the sensor, we can acquire different information from the material. Here, this concept is specifically exploited to display experimental parameters resulting in mass and viscoelastic calculations of adsorbed collagen on gold and polyelectrolyte complexes during swelling as a function of salt concentration.