Title:    Optimising Terpene Synthesis with Flow Biocatalysis


Citation
Tang X, Allemann RK, Wirth T (2017). Optimising Terpene Synthesis with Flow BiocatalysisCardiff Universityhttps://doi.org/10.17035/d.2016.0011675544



Access RightsCreative Commons Attribution 4.0 International

Access Method:  https://doi.org/10.17035/d.2016.0011675544 will take you to the repository page for this dataset, where you will be able to download the data or find further access information, as appropriate.


Cardiff University Dataset Creators


Dataset Details

PublisherCardiff University

Date (year) of data becoming publicly available2017

Data formatpdf, jpeg, NMR processing formats

Software RequiredNMR processing software (e.g. Topspin, Mnova NMR)

Estimated total storage size of datasetLess than 1 gigabyte

Number of Files In Dataset13300

DOI 10.17035/d.2016.0011675544

DOI URLhttp://doi.org/10.17035/d.2016.0011675544


Description

Sesquiterpenes are an important family of natural products that often exhibit important pharmaceutical and agricultural properties. They are biosynthesised from farnesyl diphosphate in sesquiterpene synthase catalysed reactions. Here we report the development of a highly efficient segmented flow system for the enzymatic continuous flow production of sesquiterpenes. Design of experiment (DoE) methods were used to optimise the performance of the flow biocatalysis and quantitative yields were achieved using an operationally simple but highly effective segmented flow system.
All data are provided as pdf: scans were made of the paper-based experimental outputs from various measurement systems. These comprise:
analysis of the reaction mixture using gas chromatography with a Flame Ionization Detector;
analysis of the reaction mixture using gas chromatography with an Electron Impact Mass Spectroscopy detector;
analysis of chemical compound using Nuclear Magnetic Resonance Spectroscopy.
Raw NMR data files are also available and can be opened with suitable software.

Research results based upon these data are published at https://doi.org/10.1002/ejoc.201601388 .


Keywords

NMR spectra

Research Areas

Related Projects

Last updated on 2024-17-04 at 09:05