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The crystal structure of altrenogest has been solved and refined using synchrotron X-ray powder diffraction data, and optimized using density functional techniques. Altrenogest crystallizes in space group P212121 (#19) with a = 7.286 916(16), b = 10.580 333(19), c = 22.266 08(7) Å, V = 1716.671(6) Å3, and Z = 4 at 295 K. Thermal expansion between 113 and 295 K is anisotropic. An O–H⋯O hydrogen bond links the molecules into chains along the c-axis. The powder pattern has been submitted to ICDD for inclusion in the Powder Diffraction File™ (PDF®).
The crystal structure of aminopentamide hydrogen sulfate has been solved and refined using synchrotron X-ray powder diffraction data, and optimized using density functional techniques. Aminopentamide hydrogen sulfate crystallizes in space group P21/c (#14) with a = 17.62255(14), b = 6.35534(4), c = 17.82499(10) Å, β = 96.4005(6)°, V = 1983.906(14) Å3, and Z = 4. The structure consists of layers parallel to the bc-plane with hydrogen sulfate anions at the core and aminopentamide cations on the outside. There is a strong charge-assisted O49–H53⋯O52 hydrogen bond between the hydrogen sulfate anions. This hydrogen bond links the anions in a chain parallel to the b-axis. The cation forms a discrete N–H⋯O hydrogen bond to the anion. The amide group also forms two weaker discrete hydrogen bonds to the anion. The three N–H⋯O hydrogen bonds link the cations and anions into columns parallel to the b-axis. This commercial material from USP contained an unidentified impurity, the powder pattern of which could be indexed on a monoclinic unit cell. The powder pattern has been submitted to ICDD for inclusion in the Powder Diffraction File™ (PDF®).
Numerical estimators of differential entropy and mutual information can be slow to converge as sample size increases. The offset Kozachenko–Leonenko (KLo) method described here implements an offset version of the Kozachenko–Leonenko estimator that can markedly improve convergence. Its use is illustrated in applications to the comparison of trivariate data from successive scene color images and the comparison of univariate data from stereophonic music tracks. Publicly available code for KLo estimation of both differential entropy and mutual information is provided for R, Python, and MATLAB computing environments at https://github.com/imarinfr/klo.
The crystal structure of anhydrous alfuzosin hydrochloride has been solved and refined using laboratory X-ray powder diffraction data and optimized using density functional theory techniques. Anhydrous alfuzosin hydrochloride crystallizes in space group P-1 with a = 9.3214(16), b = 9.3997(29), c = 12.6172(64) Å, α = 107.993(11), β = 100.386(9), γ = 90.229(6)°, V = 1032.1(10) Å3, and Z = 2 at ambient conditions. Thermal expansion is anisotropic, being 8× larger in the c-direction than in the other two. The crystal structure is characterized by a stack of planar fused rings along the b-axis, and layers of the more-corrugated portion of the molecule parallel to the ab-plane. There are two strong N–H⋯Cl hydrogen bonds, as well as seven C-H⋯Cl hydrogen bonds. The powder patterns have been submitted to ICDD for inclusion in the Powder Diffraction File™ (PDF®).
This paper aims to explore the influence of solvent effects on the crystal habit of venlafaxine hydrochloride using the modified attachment energy (MAE) model by molecular dynamics (MD) simulation. Solvent effects were investigated based on the different morphologies of venlafaxine hydrochloride acquired by simulation and experimental technology from the solvents of isopropanol, dimethyl sulfoxide, and acetonitrile. Firstly, morphologically dominant crystal faces were obtained through the prediction of crystal habit in vacuum by the attachment energy (AE) model. Subsequently, the MAEs were calculated by the MD simulation to modify the crystal shapes in a real solvent environment, and the simulation results were in agreement with the experimental ones. Meanwhile, in order to have a better understanding of the solvent effects, the surface structure was introduced to analyze the solvent adsorption behaviors. The results show that the crystal habits of venlafaxine hydrochloride are affected by the combination of the AE and surface structures. Finally, the flowability of the obtained crystal powders from different solvents was investigated by measurement and analysis of the angle of repose and compressibility. The above results verify that the physical properties are closely related to the morphologies of the crystals.
X-ray powder diffraction data, unit-cell parameters, and space group for the topiroxostat form II, C13H8N6, are reported [a = 7.344(9) Å, b = 12.946(7) Å, c = 12.133(5) Å, β = 96.99(3)°, V = 1145.2(4) Å3, Z = 4, and space group P21/c]. The topiroxostat monohydrate, C13H8N6·H2O, crystallized in a triclinic system and unit-cell parameters are also reported [a = 7.422(9) Å, b = 8.552(1) Å, c = 11.193(5) Å, α = 74.85(1)°, β = 81.17(1)°, γ = 66.29(1)°, V = 627.0(6) Å3, Z = 2, and space group P-1]. In each case, all measured lines were indexed and are consistent with the corresponding space group. The single-crystal data of two solid-state forms of topiroxostat are also reported, respectively [a = 7.346(2) Å, b = 12.955(2) Å, c = 12.130(7) Å, β = 96.91(6)°, V = 1146.1(3) Å3, Z = 4, and space group P21/c] and [a = 7.418(6) Å, b = 8.532(8) Å, c = 11.183(9) Å, α = 74.807(1) °, β = 81.13(1)°, γ = 66.32(1) °, V = 624.7(6) Å3, Z = 2, and space group P-1]. The experimental powder diffraction pattern has been well matched with the simulated pattern derived from the single-crystal data.
Biological manufacturing platforms open exciting opportunities to generate new materials, replace extractive processes, and perform ecosystem services through the deployment of metabolic pathways that are both found in nature and engineered. Further possibilities are generated through inter-kingdom collaborations and consortia-based pathways for manufacturing or biodegradation. In tandem, bioreactor technologies to support biocatalysis or bioconversion through novel immobilisation techniques enable flexibility in deployment. The intersection of physical, chemical and biological parameters within a novel bioreactor design will influence performance and stability in contexts beyond the sterility of the production facility. The nature and scale of new applications may invite unconventional production systems, or even consider in situ manufacturing as a potential way of disrupting centralised manufacturing and distribution processes. We may also consider how new technologies underpinning this approach could help us move beyond linear supply chains towards an embodiment of industrial ecology principles. We invite contributions that go beyond optimisation of a single pathway for product formation under conventional homogeneous conditions. Responses to this question will explicitly challenge how we currently design bioreactors through aspects of spatial distribution, connected systems or facilitating novel metabolic assemblages for multi-functional biosynthetic outputs.
A partially-auxetic metamaterial is introduced, inspired by the Maltese cross. Each unit of this metamaterial consists of a pair of counter-rotating equal-armed crosses, which is interconnected to neighboring units via hinge rods and connecting rods. Based on linkage theory, the on-axes Poisson's ratio was established considering a two-fold symmetrical mechanism, while the (anti)tetrachiral mechanisms were identified for on-axes uniaxial compression. A shearing mechanism is suggested for pure shearing and diagonal loading of the metamaterial with square array. Results suggest that the approximated infinitesimal models are valid for the Poisson's ratio of the two-fold symmetrical and the (anti)tetrachiral mechanisms under on-axis tension and compression, respectively; however, the finite model is recommended for quantifying the Poisson's ratio under pure shear and off-axis loading. This metamaterial manifests microstructural trinity, in which three different loading modes result in three different groups of deformation mechanisms. Finally, suggestions are put forth for some unsolved predictive problems.
This chapter describes specialised equipment and techniques used to perform LEED experiments and to measure intensities of diffracted LEED beams. An overview of the most common setups for experiments will be given. The diffraction geometry is important for the comparison of experimental LEED data with theory and will, thus, be covered in some detail. For the measurement of LEED intensities, close attention will be paid in particular to the preparation of the sample, the accurate alignment of the sample and the physical properties of the detectors, such as the frequently used video cameras. The instrumental response function is one aspect of detectors that can affect the measured intensities, most notably spot profiles used to measure lateral dimensions such as island sizes and disorder. Among various LEED systems that are available on the market, two types will be addressed in relatively more detail, as they provide higher resolution (i.e., are able to detect structural correlations over larger distances along the surface): spot profile analysis LEED (SPA-LEED) and low-energy electron microscope (LEEM). Finally, instrumentation will be described that has been developed for more targeted applications, such as electron-beam sensitive surfaces, and surfaces with micro- or nanoscale structures.
X-ray diffraction is the main tool used to obtain the atomic structure of 3-D crystals. The relatively weak interaction of the X-ray beam with matter and the resulting large penetration depth makes it insensitive to structural details in a small surface area: the surface is therefore usually neglected in structure determinations of 3-D crystals. This has changed with the development of synchrotron radiation as an X-ray source which provided new applications in X-ray crystallography. The very high intensity and angular resolution of the synchrotron beam allow the study of numerous effects which had been considered too weak to detect with laboratory X-ray sources. It has been shown, however, that with intensive X-ray sources that are available now, the structure analysis at surfaces is also possible in the laboratory.
The description of crystal surfaces requires some basic knowledge of crystallography. Therefore, this chapter presents a short overview of crystal lattices and their classification due to symmetry. This knowledge is required to understand the substrate structure and the orientation of the surface. However, the 3-D point groups, space groups and the mathematical description of symmetry operations in three dimensions are not described here: for a more detailed explanation the reader is referred to the International Tables of Crystallography [2.1], which is the standard reference book, or a number of textbooks on crystallography published by the International Union of Crystallography [2.2–2.5]. The 2-D space groups and symmetry operations are explained with somewhat more detail here because these are frequently used in surface structure determination. A very detailed description of the geometry of crystal surfaces is given in a recent book by K. Hermann [2.6]. A short introduction into the kinematic theory of diffraction and into diffraction at 2-D periodic lattices is also included here.