Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry

Sound, Jaspreet and Peters, Anna and Bellamy-Carter, Jeddidiah and Rad-Menendez, Cecilia and MacKechnie, Karen and Green, David and Leney, Aneika (2021) Rapid cyanobacteria species identification with high sensitivity using native mass spectrometry.
Dataset Details
Data creator(s):
CreatorsEmailORCID
Sound, Jaspreetjks607@student.bham.ac.ukorcid.org/0000-0002-5792-7291
Peters, Annaanna.peters3@outlook.comUNSPECIFIED
Bellamy-Carter, JeddidiahJ.S.G.Bellamy-Carter@bham.ac.ukorcid.org/0000-0002-1102-3596
Rad-Menendez, CeciliaCecilia.RadMenendez@sams.ac.ukUNSPECIFIED
MacKechnie, KarenKaren.MacKechnie@sams.ac.ukUNSPECIFIED
Green, DavidDavid.Green@sams.ac.ukUNSPECIFIED
Leney, Aneikaa.leney@bham.ac.ukorcid.org/0000-0002-2066-4950
Research Data Type: Dataset
DOI: https://doi.org/10.25500/edata.bham.00000722
Publisher: University of Birmingham
Funder: Biotechnology and Biological Sciences Research Council, Natural Environment Research Council, Royal Society
Keywords: native mass spectrometry, UV-vis spectroscopy, cell counting, cyanobacteria species identification, phycobiliproteins
Managing organisational unit: Colleges (2008 onwards) > College of Life & Environmental Sciences
UoB School, Department or Institute: School of Biosciences
Date: 29 September 2021
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