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Differentiation of spruce needles by integrated mass spectra and principal component analysis
Author(s) -
Simmleit Norbert,
Schulten HansRolf
Publication year - 1989
Publication title -
biomedical and environmental mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 0887-6134
DOI - 10.1002/bms.1200181112
Subject(s) - principal component analysis , mass spectrum , mass spectrometry , analytical chemistry (journal) , chemistry , pyrolysis , environmental chemistry , spectral line , pollution , environmental science , chromatography , artificial intelligence , computer science , ecology , physics , organic chemistry , astronomy , biology
Spruce needles differing in age and from different trees were analysed by temperature‐programmed pyrolysis (Py) field ionization (FI) mass spectrometry. The integrated Py–FI mass spectra are highly reproducible and characteristic. Their information can be used to distinguish the needle samples. The chemical differences between the samples are explained by interpreting the most relevant principal components of the mass spectral data set. The results suggest that Py–FI mass spectra can be used to detect slight changes in plant materials which are due to natural ageing and chemical effects of environmental pollution such as acid rain. It is shown that Py–FI mass spectrometry in combination with pattern recognition techniques is well suited for environmental monitoring.