Real time monitoring of population dynamics in concurrent bacterial growth using SIFT-MS quantification of volatile metabolites
Analyst, ISSN: 1364-5528, Vol: 138, Issue: 17, Page: 4795-4801
2013
- 29Citations
- 30Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations29
- Citation Indexes29
- 29
- CrossRef28
- Captures30
- Readers30
- 30
Article Description
Population dynamics of three different bacterial species, Serratia rubidaea (R), Serratia marcescens (F) and Escherichia coli (Ec), growing in single or mixed populations in liquid media, was monitored by real time headspace quantification of volatile compounds using selected ion flow tube mass spectrometry, SIFT-MS. The three bacterial species interact with each other in a competitive fashion in a way similar to the game "rock-paper- scissors" (R-Ec-F). The concentrations of volatile metabolites (ammonia, ethanol, acetaldehyde, propanol, acetoin, acetone and acetic acid) were measured in the headspace of the individual species and of their mixtures continuously for 24 hour periods. The results demonstrate that dynamics in bacterial cultures can be monitored using SIFT-MS in real time. © The Royal Society of Chemistry.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84881169074&origin=inward; http://dx.doi.org/10.1039/c3an00472d; http://www.ncbi.nlm.nih.gov/pubmed/23801325; https://xlink.rsc.org/?DOI=c3an00472d; https://dx.doi.org/10.1039/c3an00472d; https://pubs.rsc.org/en/content/articlelanding/2013/an/c3an00472d
Royal Society of Chemistry (RSC)
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