%0 Journal Article %1 goodacre:2003:cdupx %A Goodacre, Royston %A York, Emma V. %A Heald, James K. %A Scott, Ian M. %D 2003 %J Phytochemistry %K Convolvulaceae, Electrospray Glory, Japanese Metabolic Morning Neural Pharbitis algorithms, fingerprinting genetic ionization mass networks, nil, programming, spectrometry, %N 6 %P 859--863 %R doi:10.1016/S0031-9422(02)00718-5 %T Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry %U http://www.sciencedirect.com/science/article/B6TH7-47WBXD4-7/2/91ff09f988be54824c55a1cb596f7839 %V 62 %X Metabolic fingerprints were obtained from unfractionated Pharbitis nil leaf sap samples by direct infusion into an electrospray ionization mass spectrometer. Analyses took less than 30 s per sample and yielded complex mass spectra. Various chemometric methods, including discriminant function analysis and the machine-learning methods of artificial neural networks and genetic programming, could discriminate the metabolic fingerprints of plants subjected to different photoperiod treatments. This rapid automated analytical procedure could find use in a variety of phytochemical applications requiring high sample throughput.

@article{goodacre:2003:cdupx, abstract = {Metabolic fingerprints were obtained from unfractionated Pharbitis nil leaf sap samples by direct infusion into an electrospray ionization mass spectrometer. Analyses took less than 30 s per sample and yielded complex mass spectra. Various chemometric methods, including discriminant function analysis and the machine-learning methods of artificial neural networks and genetic programming, could discriminate the metabolic fingerprints of plants subjected to different photoperiod treatments. This rapid automated analytical procedure could find use in a variety of phytochemical applications requiring high sample throughput.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Goodacre, Royston and York, Emma V. and Heald, James K. and Scott, Ian M.}, biburl = {https://www.bibsonomy.org/bibtex/238ee1b20ad2b98b3b99824cf1449206a/brazovayeye}, doi = {doi:10.1016/S0031-9422(02)00718-5}, interhash = {d4a21cee9bc034f96203b44c6eabe40f}, intrahash = {38ee1b20ad2b98b3b99824cf1449206a}, journal = {Phytochemistry}, keywords = {Convolvulaceae, Electrospray Glory, Japanese Metabolic Morning Neural Pharbitis algorithms, fingerprinting genetic ionization mass networks, nil, programming, spectrometry,}, month = {March}, notes = {GMax-Bio, Plant Metabolomics}, number = 6, pages = {859--863}, timestamp = {2008-06-19T17:40:28.000+0200}, title = {Chemometric discrimination of unfractionated plant extracts analyzed by electrospray mass spectrometry}, url = {http://www.sciencedirect.com/science/article/B6TH7-47WBXD4-7/2/91ff09f988be54824c55a1cb596f7839}, volume = 62, year = 2003 }