Characterization of humic substances of different origin by means of mass spectrometry and neural networks.
Mass spectrometry fingerprinting of humic acids extracted from different soils has been carried out using laser desorption/ionization mass spectrometry (LDI-TOF MS). LDI-TOF MS provides characteristic mass spectra fingerprints for the humic acids of different origin. The information given in the fingerprints was evaluated for natural grouping trends in the samples by neural networks computing tools, such as self-organizing feature map (SOFM). This approach is efficient for recognizing patterns in the humic acids samples independently of their characteristic variability; variability characterizing natural products such as humic substances. The use of multi-layer perceptron artificial neural networks gave a successful classification of the samples.
Peña-Méndez
Eladia M A
EM
Department of Analytical Chemistry, Nutrition and Food Science, University of La Laguna, Campus de Anchieta, 38071 La Laguna, Tenerife, Spain. empena@ull.es
Novotná
Klára
K
Gajdosová
Dagmar
D
González
Venerando
V
Havel
Josef
J
D006812:Humic Substances / Q000032:analysis*; D016571:Neural Networks, Computer; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D006812:Humic Substances