ESO was synthesized by in situ epoxidation with acetic acid and h

ESO was synthesized by in situ epoxidation with acetic acid and hydrogen peroxide. We prepared ESO bioplastic sheets from ESO by curing with methyltetrahydrophthalic anhydride and I-methylimidazole. The tensile properties and tear resistance of the synthesized bioplastic (ESO40, where the number indicates the molar percentage of epoxidation) were investigated and compared with ESO bioplastic sheets prepared from commercial ESO with 100 mol % epoxidation (ESO100). The tensile modulus, tensile strength, tensile toughness, and tear strength of the ESO bioplastics increased with increasing

epoxide content, see more whereas the elongation at break of the ESO100 bioplastic was lowest. No trend was observed in the bioplastics prepared from ESO24-ESO88. Dynamic mechanical thermal analysis showed increases in the storage modulus and glass-transition temperature as the epoxide content was increased. Thermal degradation also increased with increasing epoxide content. The crosslink density and chain flexibility controlled the mechanical properties and characteristics of

the ESO bioplastics. ESO-organoclay nanocomposites were prepared by in situ intercalative polymerization. The addition of organoclay increased the mechanical this website properties of the ESO bioplastics. The effect of organoclay content (1-8 wt %) on the mechanical properties was similar to the effect of the epoxide content. The sESO100 nanocomposite showed a higher modulus but lower tensile strength and elongation at break than the ESO40 nanocomposite. Intercalation of the organoclay in the ESO nanocomposites was observed by transmission electron microscopy and X-ray

diffractometry. (C) 2009 Wiley Periodicals, Inc. J Appl Polym Sci 114: 3057-3067, 2009″
“Metabolite concentrations can regulate gene expression, which can in turn regulate metabolic activity. The extent to which functionally related transcripts and metabolites show similar patterns of concentration changes, however, remains unestablished. We measure and analyze the metabolomic and transcriptional responses of Saccharomyces cerevisiae to carbon and nitrogen starvation. Our analysis demonstrates that transcripts and metabolites show coordinated response dynamics. Furthermore, metabolites JNK inhibitor and gene products whose concentration profiles are alike tend to participate in related biological processes. To identify specific, functionally related genes and metabolites, we develop an approach based on Bayesian integration of the joint metabolomic and transcriptomic data. This algorithm finds interactions by evaluating transcript-metabolite correlations in light of the experimental context in which they occur and the class of metabolite involved. It effectively predicts known enzymatic and regulatory relationships, including a gene-metabolite interaction central to the glycolytic-gluconeogenetic switch.

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