Variety identification of wheat using mass spectrometry with neural networks and the influence of mass spectra processing prior to neural network analysis
- 16 May 2002
- journal article
- research article
- Published by Wiley in Rapid Communications in Mass Spectrometry
- Vol. 16 (12) , 1232-1237
- https://doi.org/10.1002/rcm.709
Abstract
The performance of matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry with neural networks in wheat variety classification is further evaluated. 1 Two principal issues were studied: (a) the number of varieties that could be classified correctly; and (b) various means of pre‐processing mass spectrometric data. The number of wheat varieties tested was increased from 10 to 30. The main pre‐processing method investigated was based on Gaussian smoothing of the spectra, but other methods based on normalisation procedures and multiplicative scatter correction of data were also used. With the final method, it was possible to classify 30 wheat varieties with 87% correctly classified mass spectra and a correlation coefficient of 0.90. Copyright © 2002 John Wiley & Sons, Ltd.Keywords
This publication has 23 references indexed in Scilit:
- Identification of barley and rye varieties using matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry with neural networksRapid Communications in Mass Spectrometry, 2001
- From image processing to classification: IV. Classification of electrophoretic patterns by neural networks and statistical methods enable quality assessment of wheat varieties for breadmakingElectrophoresis, 1996
- From image processing to classification: I. Modeling disturbances of isoelectric focusing patternsElectrophoresis, 1995
- Artificial Neural Networks for Pattern Recognition in Biochemical SequencesAnnual Review of Biophysics, 1993
- Wheat gliadin: Digital imaging and database construction using a 4-band reference system of agarose isoelectric focusing patternsElectrophoresis, 1992
- Barley cultivar discrimination: II. Sodium dodecyl sulfate‐polyacrylamide gel electrophoresis and isoelectric focusing with immobilized pH gradientsElectrophoresis, 1991
- Barley cultivar discrimination: I. Sodium dodecyl sulfate‐polyacrylamide gel electrophoresis and glycoprotein blottingElectrophoresis, 1991
- Use of isoelectricfocusing in barley varietal identificationAnnals of Applied Biology, 1990
- Discrimination of barley varieties by electrophoresis of endosperm proteins extractable into a mixture of sodium dodecyl sulphate, 2-mercaptoethanol and dimethylformamideJournal of Cereal Science, 1986
- Improved electrophoretic methods for identifying cereal varietiesJournal of the Science of Food and Agriculture, 1979