Intra-base pair proton transfer enhances the oxidizability of the 8-oxoguanine radical within a Watson–Crick 8-oxoguanine–cytosine base-pair radical cation, and the proton transfer also leads to non-statistical base-pair dissociation upon collisional activation.

Abstract

8-Oxoguanosine is the most common oxidatively generated base damage and pairs with complementary cytidine within duplex DNA. The 8-oxoguanosine−cytidine lesion, if not recognized and removed, not only leads to G-to-T transversion mutations but renders the base pair being more vulnerable to the ionizing radiation and singlet oxygen (¹O₂) damage. Herein, reaction dynamics of a prototype Watson−Crick base pair [9MOG ⋅ 1MC]⋅⁺, consisting of 9-methyl-8-oxoguanine radical cation (9MOG⋅⁺) and 1-methylcystosine (1MC), was examined using mass spectrometry coupled with electrospray ionization. We first detected base-pair dissociation in collisions with the Xe gas, which provided insight into intra-base pair proton transfer of 9MOG⋅⁺ ⋅ 1MC [9MOG − H_N1]⋅ ⋅ [1MC+H_N3′]⁺ and subsequent non-statistical base-pair separation. We then measured the reaction of [9MOG ⋅ 1MC]⋅⁺ with ¹O₂, revealing the two most probable pathways, C5-O₂ addition and H_N7-abstraction at 9MOG. Reactions were entangled with the two forms of 9MOG radicals and base-pair structures as well as multi-configurations between open-shell radicals and ¹O₂ (that has a mixed singlet/triplet character). These were disentangled by utilizing approximately spin-projected density functional theory, coupled-cluster theory and multi-referential electronic structure modeling. The work delineated base-pair structural context effects and determined relative reactivity toward ¹O₂ as [9MOG − H]⋅>9MOG⋅⁺>[9MOG − H_N1]⋅ ⋅ [1MC+H_N3′]⁺≥9MOG⋅⁺ ⋅ 1MC.

Femtosecond pair distribution function data measured on a suspension of nanoparticles using a liquid jet are discussed and compared with synchrotron data.

Abstract

X-ray scattering data measured on femtosecond timescales at the SACLA X-ray Free Electron Laser (XFEL) facility on a suspension of HfO₂ nanoparticles in a liquid jet were used for pair distribution function (PDF) analysis. Despite a non-optimal experimental setup resulting in a modest Q_max of ~8 Å⁻¹, a promising PDF was obtained. The main features were reproduced when comparing the XFEL PDF to a PDF obtained from data measured at the PETRA III synchrotron light source. Refining structural parameters such as unit cell dimension and particle size from the XFEL PDF provided reliable values. Although the reachable Q_max limited the obtainable information, the present results indicate that good quality PDFs can be obtained on femtosecond timescales if the experimental conditions are further optimized. The study therefore encourages a new direction in ultrafast structural science where structural features of amorphous and disordered systems can be studied.

Molecular dynamic simulations have been performed to explore contact behavior, microstructure evolution and sintering mechanism of Al-Ni dissimilar nanoparticles under high-velocity impact. We confirmed that the simulated contact stress, contact radius, and contact force under low-velocity impact are in good agreement with the predicted results of the Hertz model. However, with increasing the impact velocity, the simulated results gradually deviate from the predicted results of the Hertz model due to the elastic-plastic transition and atomic discrete structure. The normalized contact radius versus strain exhibits a weak dependence on nanosphere diameter. Below a critical velocity, there are very few HCP atoms in the nanospheres after thermal equilibrium. There are two different sintering mechanisms: under low-velocity impact, the sintering process relies mainly on the dislocation slip of Al nanospheres, while the dislocation slip of Ni nanospheres and the atomic diffusion of Al nanospheres predominate under high-velocity impact.

Enhanced thermal conductive phase change materials are fabricated by introducing copper plated expanded graphite(CPEG)with 3D porous structure prepared by electroless copper plating method into PA/EG composite. The PA/EG/CPEG composites demonstrate remarkable thermal conductivity and temperature control effect on power lithium-ion batteries.

Abstract

Paraffin (PA)/expanded graphite (EG) is an important composite phase change material with low cost, high heat storage, good thermal conductivity and cycling stability. Its thermal conductivity needs to be further improved for application in the thermal management system of power lithium-ion batteries. In this paper, copper plated expanded graphite (CPEG) with 3D porous structure was prepared by electroless copper plating method, which was used as thermal conductivity enhancing material to replace part of EG in PA/EG composite materials. For the optimized phase change material composed of 80 %PA-14 %EG-6 %CPEG, the copper content is very low (0.768 wt %), but its thermal conductivity can be significantly improved without loss of latent heat and thermal cycling stability. Its thermal conductivity is increased from 11 times to 16.5 times that of paraffin while compared with the copper-free composite material (80 %PA-20 %EG). The PA/EG/CPEG composite material exhibits good temperature control effect on power lithium-ion batteries.

The dependence of the triplet PES with the hyperangles is used to interpret the ground state DMC wavefunction, revealing it to be very floppy. When restricted ranges are analysed, the distributions connect with the local minima of C _2v and C ₂ symmetries. On the contrary, the vibrationally averaged structures are consistent with an equilateral triangle due to permutational symmetry.

Abstract

We present a detailed theoretical study of the molecular oxygen trimer where the potential energy surfaces of the seven multiplet states have been calculated by means of a pair approximation with very accurate dimer ab initio potentials. In order to obtain all the states a matrix representation of the potential using the uncoupled spin representation has been applied. The and states are nearly degenerate and low-lying isomers appear for most multiplicities. A crucial point in deciding the relative stabilities is the zero-point energy which represents a sizable fraction of the electronic well-depth. Therefore, we have performed accurate diffusion Monte Carlo studies of the lowest state in each multiplicity. Analysis of the wavefunction allows a deeper interpretation of the cluster structures, finding that they are significantly floppy in most cases.

Some literature reports have shown the existence of short Hg(II)···d8[M] (M = Pd, Pt) contacts between linear Hg(II) and square planar d8[M] complexes that have been defined as heterometallophilic interactions. Linear L–Hg(II)–L complexes exhibit a π-hole or positive belt of electrostatic potential at the Hg atom, while late transition metals can serve as effective electron donors through their filled dz2 orbitals. This study provides compelling evidence that Hg(II)···d8[M] interactions should be more appropriately termed Spodium bonds.

Excited-state hydrogen and proton transfer pathways (ESHT and ESPT, respectively) in 6-azaindole (6AI-S_3,4) and 2,6-diazaindole (26DAI-S_3,4)(S=H₂O, NH₃) were explored computationally. Lengthening the solvent chain and replacing the water molecule with ammonia decreased the energy barriers. The ESPT barriers are higher than the barriers in the ESHT process. The effect of N(2) insertion was explored for the first time in isolated solvent clusters for both ESHT and ESPT processes.

Abstract

Excited state hydrogen (ESHT) and proton (ESPT) transfer reaction pathways in the three and four solvent clusters of 6-azaindole (6AI-S_3,4) and 2,6-diazaindole (26DAI-S_3,4)(S=H₂O, NH₃) were computationally investigated to understand the fate of photo-excited biomolecules. The ESHT energy barriers in (H₂O)₃ complexes (39.6–41.3 kJmol⁻¹) were decreased in (H₂O)₄ complexes (23.1–20.2 kJmol⁻¹). Lengthening the solvent chain lowered the barrier because of the relaxed transition states geometries with reduced angular strains. Replacing the water molecule with ammonia drastically decreased the energy barriers to 21.4–21.3 kJmol⁻¹ in (NH₃)₃ complexes and 8.1–9.5 kJ mol⁻¹ in (NH₃)₄ complexes. The transition states were identified as H_a atom attached to the first solvent molecule. The formation of stronger hydrogen bonds in (NH₃)_3,4 complexes resulted in facile ESHT reaction than that in the (H₂O)_3,4 complexes. The ESPT energy barriers in 6AI-S_3,4 and 26DAI-S_3,4 were found to range between 40–73 kJmol⁻¹. The above values were significantly higher than that of the ESHT processes and hence are considered as a minor channel in the process. The effect of N(2) insertion was explored for the very first time in the isolated solvent clusters using local vibrational mode analysis. In DAI-S₄, the higher K_a(H_a⋯S_a) values depicted the increased photoacidity of the N(1)-H_a group which may facilitate the hydrogen transfer reaction. However, the increased N(6)⋯H_b bond length elevated the reaction barriers. Therefore, in the ESHT reaction channel, the co-existence of two competing factors led to a marginal/no change in the overall energy barriers due to the N(2) insertion. In the ESPT reaction pathway, the energy barriers showed notable increase upon N(2) insertion because of the increased N(6)⋯H_b bond length.

Doping of CuS is shown through density functional theory calculations to allow control of the band gap and semiconductor behavior by changing the bond ionicity. Doping with Mg, Ca, and Zn may also enhance electron mobility and charge separation.

Abstract

CuS is a unique semiconductor with potential in optoelectronics. Its unusual electronic structure, including a partially occupied valence band, and complex crystal structure with an S−S bond offer unique opportunities and potential applications. In this work, the use of doping to optimize the properties of CuS for various applications is investigated by density functional theory (DFT) calculations. Among the dopants studied, Ni, Zn, and Mg may be the most practical due to their lower formation energies. Doping with Fe, Ni, or Ca induces significant distortion, which may be beneficial for achieving materials with high surface areas and active states. Significantly, doping alters the conductor-like behavior of CuS, opening a band gap by increasing bond ionicity and reducing the S−S bond covalency. Thus, doping CuS can tune the plasmonic properties and transform it from a conductor to an intrinsic fluorescent semiconductor. Ni and Fe doping give the lowest band gaps (0.35 eV and 0.39 eV, respectively), while Mg doping gives the highest (0.86 eV). Doping with Mg, Ca, and Zn may enhance electron mobility and charge separation. Most dopants increase the anisotropy of electron-to-hole mass ratios, enabling device design that exploits directional-dependence for improved performance.

Lipophilicity is a physicochemical property with wide relevance in drug design, computational biology, and food, environmental and medicinal chemistry. Lipophilicity is commonly expressed as the partition coefficient for neutral molecules, whereas for molecules with ionizable groups, the distribution coefficient (D) at a given pH is used. The logDpH is usually predicted using a pH correction, while often ignoring the apparent ionic partition [[EQUATION]]. In this work, we studied the impact of [[EQUATION]] on the prediction of both the experimental lipophilicity of small molecules and experimental lipophilicity-based applications and metrics such as lipophilic efficiency (LipE), distribution of spiked drugs in milk products, and pH-dependent partition of water contaminants in synthetic passive samples such as silicones. Our findings show that better predictions are obtained by considering the apparent ionic partition. In this context, we developed machine learning algorithms to determine the cases that [[EQUATION]] should be considered. The results indicate that small, rigid, and unsaturated molecules with logPN close to zero, which present a significant proportion of ionic species in the aqueous phase, were better modeled using the apparent ionic partition [[EQUATION]]). Finally, our findings can serve as guidance to the scientific community working in early-stage drug design, food, and environmental chemistry

Despite the widespread use in industrial production, benzene derivatives are harmful to both human beings and the environment. The control of these substances has become an important subject of scientific researches. This study introduces a new approach for adsorption and separation of benzene derivatives utilizing supramolecular materials based on pagoda[n]arene. Density functional theory (DFT) calculations were employed to investigate the molecular recognition mechanism of benzene derivatives by pagoda[4]arenes and pagoda[5]arenes (Pa[4]As and Pa[5]As). It was discovered that Pa[4]As and Pa[5]As can effectively accommodate benzene derivatives through non-covalent interactions, leading to the formation of stable host-guest complexes. Additionally, molecular dynamics (MD) simulations revealed that both crystalline and non-crystalline supramolecular aggregates of Pa[4]As and Pa[5]As possess the ability to adsorb benzene derivatives and maintain the stability of the adsorption. Moreover, increasing the temperature causes benzene derivatives to desorption from the adsorbing aggregates, and thus to achieve reutilization of the adsorbent materials.