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Non-contact Raman spectroscopy for in-line monitoring of glucose and ethanol during yeast fermentations

Overview of attention for article published in Bioprocess and Biosystems Engineering, June 2017
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Title
Non-contact Raman spectroscopy for in-line monitoring of glucose and ethanol during yeast fermentations
Published in
Bioprocess and Biosystems Engineering, June 2017
DOI 10.1007/s00449-017-1808-9
Pubmed ID
Authors

Robert Schalk, Frank Braun, Rudolf Frank, Matthias Rädle, Norbert Gretz, Frank-Jürgen Methner, Thomas Beuermann

Abstract

The monitoring of microbiological processes using Raman spectroscopy has gained in importance over the past few years. Commercial Raman spectroscopic equipment consists of a laser, spectrometer, and fiberoptic immersion probe in direct contact with the fermentation medium. To avoid possible sterilization problems and biofilm formation on the probe tip, a large-aperture Raman probe was developed. The design of the probe enables non-contact in-line measurements through glass vessels or inspection glasses of bioreactors and chemical reactors. The practical applicability of the probe was tested during yeast fermentations by monitoring the consumption of substrate glucose and the formation of ethanol as the product. Multiple linear regression models were applied to evaluate the Raman spectra. Reference values were determined by high-performance liquid chromatography. The relative errors of prediction for glucose and ethanol were 5 and 3%, respectively. The presented Raman probe allows simple adaption to a wide range of processes in the chemical, pharmaceutical, and biotechnological industries.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 7 18%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 5 13%
Student > Bachelor 3 8%
Other 1 3%
Unknown 8 21%
Readers by discipline Count As %
Chemistry 7 18%
Agricultural and Biological Sciences 6 15%
Chemical Engineering 5 13%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 3 8%
Other 4 10%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 June 2017.
All research outputs
#20,726,252
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#442
of 604 outputs
Outputs of similar age
#253,821
of 328,539 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 1 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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