Literature DB >> 14520500

Taxonomic discrimination of higher plants by pyrolysis mass spectrometry.

S W Kim1, S H Ban, H J Chung, D W Choi, P S Choi, O J Yoo, J R Liu.   

Abstract

Pyrolysis mass spectrometry (PyMS) is a rapid, simple, high-resolution analytical method based on thermal degradation of complex material in a vacuum and has been widely applied to the discrimination of closely related microbial strains. Leaf samples of six species and one variety of higher plants (Rosa multiflora, R. multiflora var. platyphylla, Sedum kamtschaticum, S. takesimense, S. sarmentosum, Hepatica insularis, and H. asiatica) were subjected to PyMS for spectral fingerprinting. Principal component analysis of PyMS data was not able to discriminate these plants in discrete clusters. However, canonical variate analysis of PyMS data separated these plants from one another. A hierarchical dendrogram based on canonical variate analysis was in agreement with the known taxonomy of the plants at the variety level. These results indicate that PyMS is able to discriminate higher plants based on taxonomic classification at the family, genus, species, and variety level.

Entities:  

Mesh:

Year:  2003        PMID: 14520500     DOI: 10.1007/s00299-003-0714-6

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  4 in total

1.  Metabolite profiling for plant functional genomics.

Authors:  O Fiehn; J Kopka; P Dörmann; T Altmann; R N Trethewey; L Willmitzer
Journal:  Nat Biotechnol       Date:  2000-11       Impact factor: 54.908

2.  Identification and discrimination of oral asaccharolytic Eubacterium spp. by pyrolysis mass spectrometry and artificial neural networks.

Authors:  R Goodacre; S J Hiom; S L Cheeseman; D Murdoch; A J Weightman; W G Wade
Journal:  Curr Microbiol       Date:  1996-02       Impact factor: 2.188

3.  Rapid identification using pyrolysis mass spectrometry and artificial neural networks of Propionibacterium acnes isolated from dogs.

Authors:  R Goodacre; M J Neal; D B Kell; L W Greenham; W C Noble; R G Harvey
Journal:  J Appl Bacteriol       Date:  1994-02

4.  Rapid identification of species within the Mycobacterium tuberculosis complex by artificial neural network analysis of pyrolysis mass spectra.

Authors:  R Freeman; R Goodacre; P R Sisson; J G Magee; A C Ward; N F Lightfoot
Journal:  J Med Microbiol       Date:  1994-03       Impact factor: 2.472

  4 in total
  2 in total

1.  Taxonomic discrimination of flowering plants by multivariate analysis of Fourier transform infrared spectroscopy data.

Authors:  S W Kim; S H Ban; H Chung; S Cho; H J Chung; P S Choi; O J Yoo; J R Liu
Journal:  Plant Cell Rep       Date:  2004-07-10       Impact factor: 4.570

2.  Identification of birch pollen species using FTIR spectroscopy.

Authors:  Joanna Depciuch; Idalia Kasprzyk; Elzbieta Drzymała; Magdalena Parlinska-Wojtan
Journal:  Aerobiologia (Bologna)       Date:  2018-07-04       Impact factor: 2.410

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.