75 research outputs found
Control of Noise in Chemical and Biochemical Information Processing
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
This article does not have an abstract
New Proton Nuclear Magnetic Resonance-Based Derivation for Quantification of Alkyl Esters Generated Using Biocatalysis
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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