JOURNAL ARTICLE

Rules for optimization of biocatalysis in organic solvents

Colja LaaneSjef BoerenKees VosC. Veeger

Year: 1987 Journal:   Biotechnology and Bioengineering Vol: 30 (1)Pages: 81-87   Publisher: Wiley

Abstract

Abstract General rules for the optimization of different biocatalytic systems in various types of media containing organic solvents are derived by combining data from the literature, and the logarithm of the partition coefficient, log P , as a quantitative measure of solvent polarity. (1) Biocatalysis in organic solvents is low in polar solvents having a log P < 2, is moderate in solvents having a log P between 2 and 4, and is high in a polar solvents having a log P > 4. It was found that this correlation between polarity and activity parallels the ability of organic solvents to distort the essential water layer that stabilizes the biocatalysts. (2) Further optimization of biocatalysis in organic solvents is achieved when the polarity of the microenvironment of the biocatalyst (log P i ) and the continuous organic phase (log P cph ) is tuned to the polarities of both the substrate (log P s ) and the product (log P p ) according to the following rules: |log P i − log P s | and |log P cph − log P p | should be minimal and |log P cph − log P s | and |log P i − log P p | should be maximal, with the exception that in the case of substrate inhibition log P i , should be optimized with respect to log P s In addition to these simple optimization rules, the future developments of biocatalysis in organic solvents are discussed.

Keywords:
Biocatalysis Partition coefficient Chemistry Solvent Organic solvent Substrate (aquarium) Stereochemistry Organic chemistry Reaction mechanism Catalysis Chemical engineering Biology

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1633
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15.13
FWCI (Field Weighted Citation Impact)
14
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1.00
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Citation History

Topics

Analytical Chemistry and Chromatography
Physical Sciences →  Chemistry →  Spectroscopy
Enzyme Catalysis and Immobilization
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Microbial Metabolic Engineering and Bioproduction
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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