75 research outputs found

    Control of Noise in Chemical and Biochemical Information Processing

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    We review models and approaches for error-control in order to prevent the buildup of noise when gates for digital chemical and biomolecular computing based on (bio)chemical reaction processes are utilized to realize stable, scalable networks for information processing. Solvable rate-equation models illustrate several recently developed methodologies for gate-function optimization. We also survey future challenges and possible new research avenues.Comment: 39 pages, 8 figures, PD

    Conjugates of calixarenes and heterocycles in the design of newer chemical entities

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    New Proton Nuclear Magnetic Resonance-Based Derivation for Quantification of Alkyl Esters Generated Using Biocatalysis

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    Monoalkyl esters of fatty acids commonly known as biodiesel are synthesized from triglycerides by the transesterification reaction with monohydric alcohol, usually methanol or ethanol. Biodiesel is an attractive alternative fuel for diesel engines because of its renewability, biodegradability, and nontoxicity. Several methods/approaches have been developed for analyzing the fuel quality of biodiesel. Mainly chromatographic techniques [e.g., gas chromatography (GC), high-performance liquid chromatography, etc.] are being used for the analysis of biodiesel. The equation for quantification of the transesterification reaction using proton nuclear magnetic resonance (<sup>1</sup>H NMR) is available in the literature, wherein methanol/ethanol are being used as an acyl acceptor. In the present work, we report the equation based on <sup>1</sup>H NMR, which can be used for the quantification of the transesterification reaction, using other primary alcohols as an acyl acceptor. Simultaneously, we have also studied the effect of the chain length of alcohols on the extent of transesterification using whole cell catalysts. Transesterification was enhanced using butanol (67%) and pentanol (76%), followed by a decrease with hexanol (66%) and octanol (56%). The correlation coefficient (<i>R</i><sup>2</sup>) between GC and <sup>1</sup>H NMR methods was 0.97. The results obtained by the new <sup>1</sup>H NMR equation proposed in this work were well-correlated with GC analysis of the same samples
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