Hybrid Functional Polymer-Enabled Multiplexed Chemosensor Patch for Wearable Adrenocortex Stress Profiling.

Measuring bioactive stress hormones, including cortisol and dehydroepiandrosterone (DHEA), allows for evaluating the hypothalamic-pituitary-adrenal (HPA) axis functioning, offering valuable insights into an individual's stress response through adrenocortex stress profiles (ASPs). Conventional methods for detecting steroid hormones involve sample collections and competitive immunoassays, which suffer from drawbacks such as time-consuming labeling and binding procedures, reliance on unstable biological receptors, and the need for sophisticated instruments. Here, we report a label-free and external redox reagent-free amperometric assay directly detecting sweat cortisol and DHEA levels on the skin. The approach utilizes multitarget sensors based on redox-active molecularly imprinted polymers (redox MIPs) capable of selectively binding cortisol and DHEA, inducing changes in electrochemical redox features. The redox MIP consists of imprinted cavities for specific capture of cortisol or DHEA in a poly(pyrrole-co-(dimethylamino)pyrrole) copolymer containing hydrophobic moieties to enhance affinity toward steroid hormones. The polymer matrix also incorporates covalently linked interpenetrating redox-active polyvinylferrocene, offering a stable electrochemical redox feature that enables sensitive current change in response to the target capture in the vicinity. The multiplexed sensor detects cortisol and DHEA within 5 min, with detection limits of 115 and 390 pM, respectively. Through the integration of redox MIP sensors into a wireless wearable sensing system, we successfully achieved ambulatory detection of these two steroid hormones in sweat directly on the skin. The new sensing method facilitates rapid, robust determination of the cortisol-DHEA ratio, providing a promising avenue for point-of-care assessment of an individual's physiological state.

Enzyme-Mimics for Sensitive and Selective Steroid Metabolite Detection.

We present an enzyme-like functional polymer that recognizes nonelectroactive targets and catalyzes their redox reactions for simple, selective steroid metabolite detection. Measuring steroid metabolites, such as cortisol, has been widely adopted to diagnose stress and chronic diseases. Conventional detection method based on competitive immunoassay requires time-consuming labeling processes for signal transduction and unstable biological receptors for biorecognition yet with limited selectivity. Inspired by natural enzymes' target specificity and catalytic nature, we report an enzyme-mimic using electrocatalytic molecularly imprinted polymers (EC-MIP) to achieve label-free, external redox reagent-free, sensitive, and selective electrochemical detection of cortisol. The EC-MIP sensor contains molecularly imprinted cavities for specific cortisol binding and embedded copper phthalocyanine tetrasulfonate (CuPcTS) for electrocatalytic reduction of the ketones on the captured cortisol into alcohols. The direct sensing approach resolves the intrinsic limitations of conventional MIP-based sensors, most notably the use of external redox probes and weak sensing signals. The sensor exhibited a detection limit of 181 pM with significantly enhanced selectivity using a differential sensing mechanism. The new enzyme-like sensor can be modified to detect other targets, offering a simple, robust approach to future health monitoring technologies.

Establishing Self-Dopant Design Principles from Structure-Function Relationships in Self-n-Doped Perylene Diimide Organic Semiconductors.

Self-doping is a particular doping method that has been applied to a wide range of organic semiconductors. However, there is a lack of understanding regarding the relationship between dopant structure and function. A structurally diverse series of self-n-doped perylene diimides (PDIs) is investigated to study the impact of steric encumbrance, counterion selection, and dopant/PDI tether distance on functional parameters such as doping, stability, morphology, and charge-carrier mobility. The studies show that self-n-doping is best enabled by the use of sterically encumbered ammoniums with short tethers and Lewis basic counterions. Additionally, water is found to inhibit doping, which concludes that thermal degradation is merely a phenomenological feature of certain dopants, and that residual solvent evaporation is the primary driver of thermally activated doping. In situ grazing-incidence wide-angle X-ray scattering studies show that sample annealing increases the π-π stacking distance and shrinks grain boundaries for improved long-range ordering. These features are then correlated to contactless carrier-mobility measurements with time-resolved microwave conductivity before and after thermal annealing. The collective relationships between structural features and functionality are finally used to establish explicit self-n-dopant design principles for the future design of materials with improved functionality.

[Piggery wastewater cultivating bioflocculant-producing flora B-737 and the fermentation characteristics].

Piggery wastewater was used as a cheap alternative medium for a bioflocculant-producing bacterial flora B-737. Effects of COD concent, addition of ammonium oxalate or phosphate on the cell growth and bioflocculant yield were investigated, and the fermentation kinetics was studied in the optimal culture media. The results showed that the piggery wastewater (COD was about 3000 mg x L(-1), TN was about 170 mg x L(-1)) had a suitable C/N ratio for the growth and fermentation of flora B-737, with addition of only 1.6 g x L(-1) K2HPO4 and 0.8 g x L(-1) KH2PO4, flora B-737 grew well and the bioflocculant yield reached 1.5 g x L(-1), in the meantime, the COD and TN of the wastewater was reduced by 61.9% and 53.6%, respectively. Not only was the medium cost reduced by over 90% , but it was a new way to recycle piggery wastewater. In addition, the dynamic models on cell growth and flocculants formation in the fermentation process of B-737 were established according to the equation of Logistic and Luedeking-Piret, respectively.