Hydration layers are formed on hydrophilic crystalline surfaces immersed in water.
Adsorption of organic molecules from aqueous solution to the surface of carbon nanotubes or graphene is an important process in many applications of these materials. Here we use molecular dynamics simulation, supplemented by analytical chemistry, to explore in detail the adsorption thermodynamics of a diverse set of aromatic compounds on graphenic materials, elucidating the effects of the solvent, surface coverage, surface curvature, defects, and functionalization by hydroxy groups. We decompose the adsorption free energies into entropic and enthalpic components and find that different classes of compoundssuch as phenols, benzoates, and alkylbenzenescan easily be distinguished by the relative contributions of entropy and enthalpy to their adsorption free energies. Overall, entropy dominates for the more hydrophobic compounds, while enthalpy plays the greatest role for more hydrophilic compounds. Experiments and independent simulations using two different force field frameworks (CHARMM and Amber) support the robustness of these conclusions. We determine that concave curvature is generally associated with greater adsorption affinity, more favorable enthalpy, and greater contact area, while convex curvature reduces both adsorption enthalpy and contact area. Defects on the graphene surfaces can create concave curvature, resulting in localized binding sites. As the graphene surface becomes covered with aromatic solutes, the affinity for adsorbing an additional solute increases until a complete monolayer is formed, driven by more favorable enthalpy and partially canceled by less favorable entropy. Similarly, hydroxylation of the surface leads to preferential adsorption of the aromatic solutes to remaining regions of bare graphene, resulting in less favorable adsorption entropy, but compensated by an increase in favorable enthalpic interactions.
Superparamagnetic iron oxide nanoparticles (SPIONs) are highly biocompatible and have a versatile synthetic technique based on coprecipitation, reduction-precipitation, and hydrothermal methods, where Fe and Fe react in aqueous solutions; both these ions are present in our body and have clear metabolic pathways; therefore, they have attracted extensive research interest and development in the field of diagnostic imaging and therapy. However, most SPION-based clinical diagnostic contrast agents are discontinued due to severe pain, low transverse magnetic relaxivity range of 80-180 mM s, shorter circulation half-life, and lack of disease specificity. Therefore, in this study, we engineered a bone cancer-targeted hybrid nanoconstruct (HNC) with a high transverse magnetic relaxivity of 625 mM s, which was significantly higher than that of clinical contrast agents. The engineered HNC is peripherally decorated with a bone-seeking agent, alendronic acid-conjugated phospholipid, exhibiting a hydrodynamic size of 80 nm with a negative surface potential, -35 mV. The interior skeleton of the HNC is composed of biodegradable and biocompatible poly(l-lactic-co-glycolic acid) (PLGA), in which 5 nm SPIONs are confined. We have successfully tuned the distance between the confined SPIONs from 0.5 to 4 nm, as revealed by transmission electron microscopy (TEM) images and magnetic resonance image (MRI) phantoms. This cluster confinement dramatically enhances magnetic relaxivity possibly due to the increase in net local magnetization due to proximal field inhomogeneity. In an in vitro examination, 80% of HNC is found to bind with hydroxyapatite (HAp), which when characterized by TEM shows a painting of SPIONs over a HAp crystal. HNC is found to accumulate in mouse osteosarcoma tumor (K7M2 tumor model); both MRI and histological examination of the tumor show the potential of HNC as targeting agents for diagnosis of tumor in the bone.
Formation of hydrocarbon monolayers at the graphene–water interface can be predicted from the concentration in ambient air and the free energies of hydration, adsorption from the aqueous phase, and subsequent integration into the monolayer phase.
A colon cancer growth inhibitor partially purified from the isolated cell wall membrane fraction of Chlorella sorokiniana, here referred to as Chlorella membrane factor (CMF), was evaluated for its antitumor and immunomodulatory effects in cell culture and in a colon carcinoma mouse model. The CMF treatment dose- and time-dependently inhibited colon carcinoma cell growth in 2-dimensional cultures. Treatment with CMF also significantly inhibited the growth of colon carcinoma spheroids in 3-dimensional cell culture in coculture with T lymphocytes. In a mouse CT26 colon carcinoma peritoneal dissemination model, intraperitoneal injection of CMF (10 or 30 mg dry weight/kg body weight, every other day) dose-dependently and significantly attenuated the growth of tumor nodules via induction of tumor cell apoptosis. Evaluation of immune cell populations in ascites showed that CMF treatment tended to increase T lymphocytes but lower granulocyte populations. The present study suggests that the cell wall membrane fraction of Chlorella sorokiniana contains a bioactive material that inhibits colon carcinoma growth via direct cell growth inhibition and stimulation of host antitumor immunity. Hence, it is suggested that the Chlorella cell wall membrane extract or a bioactive substance in the extract is an attractive complementary medicine for cancer therapy.
Proteins involved in immune checkpoint pathways, such as CTLA4, PD1, and PD-L1, have become important targets for cancer immunotherapy; however, development of small molecule drugs targeting these pathways has proven...
The graphite–water interface provides a unique environment for polypeptides that generally favors ordered structures more than in solution. Therefore, systems consisting of designed peptides and graphitic carbon might serve as a convenient medium for controlled self-assembly of functional materials. Here, we computationally designed cyclic peptides that spontaneously fold into a β-sheet-like conformation at the graphite–water interface and self-assemble, and we subsequently observed evidence of such assembly by atomic force microscopy. Using a novel protocol, we screened nearly 2000 sequences, optimizing for formation of a unique folded conformation while discouraging unfolded or misfolded conformations. A head-to-tail cyclic peptide with the sequence GTGSGTGGPGGGCGTGTGSGPG showed the greatest apparent propensity to fold spontaneously, and this optimized sequence was selected for larger scale molecular dynamics simulations, rigorous free-energy calculations, and experimental validation. In simulations ranging from hundreds of nanoseconds to a few microseconds, we observed spontaneous folding of this peptide at the graphite–water interface under many different conditions, including multiple temperatures (295 and 370 K), with different initial orientations relative to the graphite surface, and using different molecular dynamics force fields (CHARMM and Amber). The thermodynamic stability of the folded conformation on graphite over a range of temperatures was verified by replica-exchange simulations and free-energy calculations. On the other hand, in free solution, the folded conformation was found to be unstable, unfolding in tens of picoseconds. Intermolecular hydrogen bonds promoted self-assembly of the folded peptides into linear arrangements where the peptide backbone exhibited a tendency to align along one of the six zigzag directions of the graphite basal plane. For the optimized peptide, atomic force microscopy revealed growth of single-molecule-thick linear patterns of 6-fold symmetry, consistent with the simulations, while no such patterns were observed for a control peptide with the same amino acid composition but a scrambled sequence.
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