Identification of wheat varieties using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry and an artificial neural network

1999 ◽  
Vol 13 (14) ◽  
pp. 1535-1539 ◽  
Author(s):  
Helle Aagaard Bloch ◽  
Can Keşmir ◽  
Marianne Petersen ◽  
Susanne Jacobsen ◽  
Ib Søndergaard
Keyword(s):  
Neural Network ◽  
Mass Spectrometry ◽  
Artificial Neural Network ◽  
Time Of Flight ◽  
Laser Desorption ◽  
Wheat Varieties ◽  
Flight Mass Spectrometry ◽  
Artificial Neural ◽  
Matrix Assisted Laser ◽  
Matrix Assisted Laser Desorption

scholarly journals Characterization of Cryptosporidium parvum by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry

2000 ◽  
Vol 66 (11) ◽  
pp. 4720-4724 ◽  
Author(s):  
Matthew L. Magnuson ◽  
James H. Owens ◽  
Catherine A. Kelty
Keyword(s):  
Mass Spectrometry ◽  
Cryptosporidium Parvum ◽  
Time Of Flight ◽  
Laser Desorption ◽  
Laser Desorption Ionization ◽  
Ionization Time ◽  
Desorption Ionization ◽  
Flight Mass Spectrometry ◽  
Matrix Assisted Laser ◽  
Matrix Assisted Laser Desorption

ABSTRACT Matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) was used to investigate whole and freeze-thawed Cryptosporidium parvum oocysts. Whole oocysts revealed some mass spectral features. Reproducible patterns of spectral markers and increased sensitivity were obtained after the oocysts were lysed with a freeze-thaw procedure. Spectral-marker patterns forC. parvum were distinguishable from those obtained forCryptosporidium muris. One spectral marker appears specific for the genus, while others appear specific at the species level. Three different C. parvum lots were investigated, and similar spectral markers were observed in each. Disinfection of the oocysts reduced and/or eliminated the patterns of spectral markers.

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