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The AuNPs-aptamer conjugate with 258 aptamers per particle had the highest kon, while the koff was similar for AuNPs-aptamer conjugates with different surface coverages. Therefore, the surface coverage of aptamers on AuNPs affects both the thermodynamics and the kinetics of the binding. The AuNPs-aptamer conjugate with the highest surface coverage is the most favorable in biosensors considering the limit of detection, sensitivity, and response time of the assay. These findings deepen our understanding of the interaction between aptamer and target protein on the particle surface, which is important to both improve the scientific design and increase the application of aptamer-nanoparticle based biosensor.The electrogenerated chemiluminescence of luminol is a process by which light generation is triggered by adding hydrogen peroxide and then applying a suitable electrode potential. Here, we take this phenomenon one step forward by avoiding the addition of hydrogen peroxide using a smart combination of a boron-doped diamond electrode and a carbonate electrolyte to generate the hydrogen peroxide directly in situ. The reaction occurs because of the carbonate electrochemical oxidation to peroxydicarbonate and the following hydrolysis to hydrogen peroxide, which triggers the emission from luminol. The electrogenerated chemiluminescence emission has been optimized by an investigation of the applied potentials, the carbonate concentration, and the pH. Furthermore, these results have been used to shine a light on the reaction mechanisms. Because this method does not require the addition of hydrogen peroxide, it might find application in efforts to avoid instability of hydrogen peroxide or its interference with the analytes of interest.Diabetes is a metabolic syndrome associated with hyperglycemia, hypertension, atherosclerosis, and endothelial dysfunction. Applying the mechanical stretch on cells to simulate blood circulation while monitoring the cell glucose metabolism in a high-glucose environment is important for better comprehension of the underlying mechanisms of atherosclerosis caused by diabetes. Herein, we developed a facile strategy integrating zeolitic imidazolate framework-8-encapsulated glucose oxidase (GOx@ZIF-8) and an gold (Au) stretchable electrode (Au SE) to construct a flexible and stretchable glucose sensor (GOx@ZIF-8/Au SE) for investigating the glucose metabolism mechanism of stretched endothelial cells in hyperglycemia. The encapsulation of GOx with ZIF-8 prevents the aggregation and detachment of GOx from the sensing interface and endows the biosensor with high stability. Additionally, the Au SE with inherent stretchability can act as an integrated platform for mechanical stimulation as well as for transient signal sensing during the mechanotransduction process. Moreover, this flexible and stretchable glucose sensor is successfully used for monitoring the glucose metabolism of mechanically stimulated cells in hyperglycemia, and it was found for the first time that the glucose utilization ability of cells under static conditions is higher than that in the stretched state. This facile and straightforward method paves a promising route for designing a stable enzyme-based stretchable biosensor for detecting the underlying mechanisms of atherosclerosis caused by diabetes.Inflammation has been assumed to affect the pathology of wound healing and is associated with many nonhealing chronic wounds. Naturally derived herbal medicines with anti-inflammatory properties are of interest because of their effectiveness and affordability in clinical treatment. Herein, we report a supramolecular hydrogel comprising self-assembled natural herb rhein and an oxidative responsive cross-linked network based on ferrocene and β-cyclodextrin host-guest recognitions. Rhein can directly self-assemble into fibrils, exerting better anti-inflammation efficiency than its free drug form. The adaption of the supramolecular network can greatly improve the stability and retain the structural integrity of encapsulated self-assembled rhein. In addition, host-guest recognition confers dissolution of the hydrogel under oxidative stress, thereby delivering self-assembled rhein to the wound site and exerting better therapeutic efficiency. Evaluations in diabetic mice indicate that the resultant hydrogel promoted chronic wound healing by suppressing excess reactive oxygen species, facilitating the transition of the wound healing process, and restoring the normal wound-repair process. Therefore, the proposed hydrogel has a potential value as an herbal-based dressing for future clinical chronic wound management.Screening for prostate cancer relies on the serum prostate-specific antigen test, which provides a high rate of false positives (80%). This results in a large number of unnecessary biopsies and subsequent overtreatment. Considering the frequency of the test, there is a critical unmet need of precision screening for prostate cancer. Here, we introduced a urinary multimarker biosensor with a capacity to learn to achieve this goal. The correlation of clinical state with the sensing signals from urinary multimarkers was analyzed by two common machine learning algorithms. As the number of biomarkers was increased, both algorithms provided a monotonic increase in screening performance. Under the best combination of biomarkers, the machine learning algorithms screened prostate cancer patients with more than 99% accuracy using 76 urine specimens. Urinary multimarker biosensor leveraged by machine learning analysis can be an important strategy of precision screening for cancers using a drop of bodily fluid.Plasmonic materials interact strongly with light to focus and enhance electromagnetic radiation down to nanoscale volumes. Due to this localized confinement, materials that support localized surface plasmon resonances are capable of driving energetically unfavorable chemical reactions. In certain cases, the plasmonic nanostructures are able to preferentially catalyze the formation of specific photoproducts, which offers an opportunity for the development of solar-driven chemical synthesis. Here, using plasmonic environments, we report inducing an intramolecular methyl migration reaction, forming 4-methylpyridine from N-methylpyridinium. selleck chemical Using both experimental and computational methods, we were able to confirm the identity of the N-methylpyridinium by making spectral comparisons against possible photoproducts. This reaction involves breaking a C-N bond and forming a new C-C bond, highlighting the ability of plasmonic materials to drive complex and selective reactions. Additionally, we observe that the product yield depends strongly on optical illumination conditions.
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