Crystal structures of two substituted biphenyl derivatives: 5,5′-di t-butyl-2-2′-biphenyldiol and 5,5′-dimethyl-2,2′-biphenyldiol

5,5-Di t-butyl-2,2-biphenyldiol (I), C₂₀H₂₆O₂, crystallizes in the orthorhombic space group P2₁2₁2₁ with a = 18.243(2), b = 9.947(2), c = 9.685(3) Å, and Z = 4; 5,5-dimethyl-2,2-biphenyldiol (II), C₁₄H₁₄O₂, crystallizes in the monoclinic space group P2₁/c with a = 9.959(2), b = 7.932(3), c = 15.392(2) Å, = 105.43(2)°, and Z = 4. The aromatic rings are tilted by 52.7(1) and 43.8(1)° to each other in compounds (I) and (II), respectively. Strong intra- and inter-molecular H-bonds connect the molecules in the crystals.     

X-ray structure of 2,6-dimethoxy-7-methylpurine

The title compound (C₈H₁₀N₄O₂) is monoclinic, with a = 7.740(2), b = 17.044(7), c = 6.992(3) Å, = 100.60(1)°, and space group P2₁/c. Two O-methyl groups are coplanar with the pyrimidine ring. Whereas, the O(6)-methyl group is directed away from the imidazole ring toward the N(1) atom, the O(2)-methyl is pointed away from the N(1) atom toward the N(3) atom. Two intermolecular hydrogen bonds H(8)···N(1) and H(711)···O(2) of 2.48(2) and 2.58(3) Å make a linear arrangement of the molecules. The conformation of the O-methyl groups explains some results of thermal rearrangement of 2,6-dialkoxy-7-methylpurines and differences in alkylations of 2,4-dialkoxypyrimidines and 2,6-dialkoxy-7-methylpurines.     

Crystal structure of 6-nitrobenzo(a)pyrene

In 6-nitrobenzo(a)pyrene, an environmental pollutant, the nitro substituent lies at 69.5(1) to the mean plane of the aromatic moiety. The C–C bond distances range from 1.341(3) to 1.443(3) Å. The crystal is in the monoclinic space group, P2₁/c, with a = 8.3239(3) Å, b = 8.9530(3) Å, c = 18.0678(5) Å, = 99.264(2) and Z = 4. Molecules are assembled in sheets in the unit cell through stacking and alternating C–H O interactions.     

Direct structural observation of the alignment and elongation in lyotropic chromonic liquid crystals under shear flow

The structural characterization of the orientation and elongation under shear flow in Lyotropic Chromonic Liquid Crystals (LCLCs) molecules, Sunset Yellow FCF (SSY), was performed by in situ rheological small/wide angle X-ray scattering (Rheo-SAXS/WAXS). The X-ray measurement results clearly demonstrated that the stacked aggregates were oriented and elongated to the shear direction under shear flow. Further shear rate increase caused the enhancement in the orientation and elongation with the inter-aggregate distance constant, and then the structural change decreased implying the onset of the orientation saturation at high shear rates.     

Synthesis and Photochromic Properties of Configurationally Varied Azobenzene Glycosides

Spatial orientation of carbohydrates is a meaningful parameter in carbohydrate recognition processes. To vary orientation of sugars with temporal and spatial resolution, photosensitive glycoconjugates with favorable photochromic properties appear to be opportune. Here, a series of azobenzene glycosides were synthesized, employing glycoside synthesis and Mills reaction, to allow “switching” of carbohydrate orientation by reversible E/Z isomerization of the azobenzene N=N double bond. Their photochromic properties were tested and effects of azobenzene substitution as well as the effect of anomeric configuration and the orientation of the sugars 2-hydroxy group were evaluated.     

Stochastic fatigue limits and fatigue life variability for unplasticised PVC pipes

This paper uses the random fatigue limit (RFL) model of Pascual and Meeker to address fatigue limits for PVC pressure pipes. This model differs from previous ways of describing fatigue data for PVC by recognising that the fatigue limit is a stochastic quantity rather than a single valued stress amplitude below which fatigue failures will not occur. By analysing published fatigue data, it is demonstrated that the RFL model is capable of quantifying fatigue limit variability and its influence on fatigue life variability. Moreover, the RFL model was used to illustrate the risks associated with defining fatigue limits based on small quantities of high-cycle fatigue data. In particular, it is shown that fatigue failure can occur below the mean fatigue limit and that the RFL model is capable of quantifying the probability of failure at a given level of stress amplitude.