Abstract
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 256:57-62 (2003) - doi:10.3354/meps256057 HR MAS 1H NMR spectroscopy analysis of marine microalgal whole cells Matilde S. Chauton1,*, Odd Inge Optun2, Tone F. Bathen2, Zsolt Volent3, Ingrid S. Gribbestad2, Geir Johnsen1 1Norwegian University of Science and Technology, Trondhjem Biological Station, 7491 Trondheim, Norway 2Sintef Unimed MR-centre, 7465 Trondheim, Norway 3Sintef Fisheries and Aquaculture, 7465 Trondheim, Norway *Email: matilde.chauton@vm.ntnu.no ABSTRACT: To study the use of nuclear magnetic resonance (NMR) spectroscopy as a method of classification, we performed high-resolution magic angle spinning proton (HR MAS 1H) NMR spectroscopy analysis of whole-cell samples of Dunaliella sp. (Chlorophyceae), Amphidinium carterae (Dinophyceae), Phaeodactylum tricornutum and Thalassiosira pseudonana (Bacillariophyceae). Emphasising the potential use of NMR spectroscopy as a routine analysis of microalgae we chose a straightforward procedure for culturing and harvesting, without extraction or radioactive labelling. We obtained well-resolved HR MAS 1H NMR spectra from the 4 algae, despite the fact that our samples contained whole cells and some residual sea water. Selected parts of 5 replicate spectra from each microalga were used as input in 2 multivariate pattern-recognition strategies (principal component analysis and fuzzy clustering), both analyses showing clear grouping of the different species. Two spectra from a previous sample run (cultures grown under the same conditions) were also included, and both were correctly classified. We therefore consider HR MAS 1H NMR spectroscopy to be a potential method of classification for microalgae, with statistical data processing indicating replicability and robustness of the method. KEY WORDS: HR MAS 1H NMR spectroscopy · Microalgae · Whole cell sample · Classification · Principal component analysis · Fuzzy clustering Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 256. Online publication date: July 17, 2003 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2003 Inter-Research.
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