SPECTROSCOPIC QUANTITATION OF AMINO-ACIDS BY USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH FACTOR-ANALYSIS

Authors
PAN ZX PAN DJ SUN PY ZHANG MS ZUBERBUHLER AD JUNG B
Citation
Zx. Pan et al., SPECTROSCOPIC QUANTITATION OF AMINO-ACIDS BY USING ARTIFICIAL NEURAL NETWORKS COMBINED WITH FACTOR-ANALYSIS, SPECT ACT A, 53(10), 1997, pp. 1629-1632
Citations number
5
Categorie Soggetti
Spectroscopy
Journal title
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY → ACNP
ISSN journal
13861425
Volume
53
Issue
10
Year of publication
1997
Pages
1629 - 1632
Database
ISI
SICI code
1386-1425(1997)53:10<1629:SQOABU>2.0.ZU;2-Q
Abstract
This paper demonstrates the application of artificial neural networks (ANN) combined with factor analysis for spectroscopic calibration. The number of input signal nodes of each sample was compressed effectivel y by factor analysis. Some real UV spectral data of tyrosine (Tyr), tr yptophane (Trp), phenylalanine (Phe), and 3,4-dihydroxyl phenylalanine (Di-phe) were used to test the technique, showing the determination o f the components in the mixtures. (C) 1997 Elsevier Science B.V.