"1802-1433" . . . . . . "978-80-86909-09-7" . "[8ACC14EC11BD]" . . "P(QI111B044)" . "Aplikace hmotnostn\u00ED spektrometrie v otev\u0159en\u00E9m prostoru pro hodnocen\u00ED rezistence cere\u00E1li\u00ED v\u016F\u010Di napaden\u00ED mikromycetami r. Fusarium" . "22330" . "Among the significant negative impacts on the production of cereals include operations of fungal genus Fusarium. The most widespread species causing fusarium graminearum fusaria are F., F. culmorum, F. avenaceum and F. poae. Fusarium incidence and the subsequent production of toxic secondary metabolites - mycotoxins - is influenced by many factors, including temperature conditions, and especially during the growth and the type of crop. Development infection can to some extent affect the selection of suitable varieties grown cereals and crop, applications pesticide formulations and storage conditions. Metabolomic profiling is a new approach that can be used to assess the degree of infestation micromycetes. The principle of this technique is the target / nontarget analysis sample of low-molecular substances (metabolome). If the measurement does not identify these compounds, in terms of metabolomic fingerprinting. The aim of this study is the application of fingerprinting metabolomick\u00E9ho to sample the different varieties of wheat from many localities of the Czech Republic in order to create models based on which it would be possible to classify samples according to (i) detection of pathogen F. graminearum, (ii) deterioration of the grains, and (iii) detection of mycotoxin deoxynivalenol (DON). For this experiment was used direct analysis in real time (DART) with mass spectrometric detection with HRMS Orbitrap analyzer type. A significant advantage of this technique is very low analysis time allowing rapid detection results. Measured data was processed by a statistical analysis of principal components (PCA) which is used to reduce the original quantity of data in order to determine their structure in order to preserve as much information as possible, and consequently the linear discriminant analysis (LDA), which serves to produce the desired model for classification of samples analyzed ."@en . "Mezi v\u00FDznamn\u00E9 negativn\u00ED vlivy v produkci obilovin pat\u0159\u00ED p\u016Fsoben\u00ED mikromycet rodu Fusarium. Onemocn\u011Bn\u00ED zp\u016Fsoben\u00E9 t\u011Bmito mikromycetami jsou obecn\u011B naz\u00FDv\u00E1ny fusari\u00F3zy. Nejroz\u0161\u00ED\u0159en\u011Bj\u0161\u00EDmi druhy fusari\u00ED zp\u016Fsobuj\u00EDc\u00EDch fusari\u00F3zy jsou F. graminearum, F. culmorum, F. avenaceum a F. poae. V\u00FDskyt fusari\u00ED a n\u00E1sledn\u00E1 produkce jejich toxick\u00FDch sekund\u00E1rn\u00EDch metabolit\u016F - mykotoxin\u016F - je ovlivn\u011Bna celou \u0159adou faktor\u016F, mezi n\u011B\u017E pat\u0159\u00ED p\u0159edev\u0161\u00EDm a teplotn\u00ED podm\u00EDnky b\u011Bhem r\u016Fstu a typ p\u0159edplodiny. Rozvoj infekce lze do jist\u00E9 m\u00EDry ovlivnit v\u00FDb\u011Brem vhodn\u00E9 odr\u016Fdy p\u011Bstovan\u00E9 obiloviny a p\u0159edplodiny, aplikac\u00ED pesticidn\u00EDch p\u0159\u00EDpravk\u016F a skladovac\u00EDmi podm\u00EDnkami. Metabolomick\u00E9 profilov\u00E1n\u00ED je nov\u00FDm p\u0159\u00EDstupem, kter\u00FD lze vyu\u017E\u00EDt pro posouzen\u00ED m\u00EDry napaden\u00ED mikromycetami. Principem t\u00E9to techniky je c\u00EDlov\u00E1/nec\u00EDlov\u00E1 anal\u00FDza n\u00EDzkomolekul\u00E1rn\u00EDch l\u00E1tek vzorku (metabolomu). Pokud p\u0159i m\u011B\u0159en\u00ED nedoch\u00E1z\u00ED k identifikaci t\u011Bchto l\u00E1tek, jde o metabolomick\u00FD fingerprinting. Pro anal\u00FDzu metabolomick\u00E9ho profilu/fingerprintu se \u010Dasto vyu\u017E\u00EDv\u00E1 kombinac\u00ED chromatografick\u00FDch a hmotnostn\u011B-spektrometrick\u00FDch technik. C\u00EDlem t\u00E9to studie je aplikace metabolomick\u00E9ho fingerprintingu na soubor vzork\u016F r\u016Fzn\u00FDch odr\u016Fd p\u0161enice poch\u00E1zej\u00EDc\u00EDch z mnoha lokalit \u010CR za \u00FA\u010Delem vytvo\u0159en\u00ED model\u016F, na z\u00E1klad\u011B kter\u00FDch by bylo mo\u017En\u00E9 klasifikovat vzorky dle (i) detekce pathogenu F. graminearum, (ii) po\u0161kozen\u00ED zrn a (iii) detekce mykotoxinu deoxynivalenolu (DON). Pro tento experiment byla vyu\u017Eita p\u0159\u00EDm\u00E1 anal\u00FDza v re\u00E1ln\u00E9m \u010Dase (DART) s hmotnostn\u011B-spektrometrickou detekc\u00ED s vysokorozli\u0161ovac\u00EDm analyz\u00E1torem typu orbitrap. Zna\u010Dnou p\u0159ednost\u00ED t\u00E9to techniky je velmi n\u00EDzk\u00FD \u010Das anal\u00FDzy umo\u017E\u0148uj\u00EDc\u00ED rychl\u00E9 zji\u0161t\u011Bn\u00ED v\u00FDsledk\u016F. Nam\u011B\u0159en\u00E1 data byla zpracov\u00E1na statistickou anal\u00FDzou hlavn\u00EDch komponent (PCA), kter\u00E1 slou\u017E\u00ED k redukci p\u016Fvodn\u00EDho mno\u017Estv\u00ED dat za \u00FA\u010Delem zji\u0161t\u011Bn\u00ED jejich struktury s c\u00EDlem zachov\u00E1n\u00ED co nejv\u011Bt\u0161\u00EDho mno\u017Estv\u00ED informac\u00ED a n\u00E1sledn\u011B line\u00E1rn\u00ED diskrimina\u010Dn\u00ED anal\u00FDzou (LDA), kter\u00E1 slou\u017E\u00ED k vytvo\u0159en\u00ED po\u017Eadovan\u00FDch model\u016F pro klasifikaci analyzovan\u00FDch vzork\u016F."@cs . "6"^^ . . . "Haj\u0161lov\u00E1, Jana" . "Skalsk\u00FD Dv\u016Fr" . "DART-HRMS; Fusarium; mycotoxins; Cereals"@en . "6"^^ . . "Zachari\u00E1\u0161ov\u00E1, Milena" . "RIV/60461373:22330/14:43898090" . "Praha" . "Mezi v\u00FDznamn\u00E9 negativn\u00ED vlivy v produkci obilovin pat\u0159\u00ED p\u016Fsoben\u00ED mikromycet rodu Fusarium. Onemocn\u011Bn\u00ED zp\u016Fsoben\u00E9 t\u011Bmito mikromycetami jsou obecn\u011B naz\u00FDv\u00E1ny fusari\u00F3zy. Nejroz\u0161\u00ED\u0159en\u011Bj\u0161\u00EDmi druhy fusari\u00ED zp\u016Fsobuj\u00EDc\u00EDch fusari\u00F3zy jsou F. graminearum, F. culmorum, F. avenaceum a F. poae. V\u00FDskyt fusari\u00ED a n\u00E1sledn\u00E1 produkce jejich toxick\u00FDch sekund\u00E1rn\u00EDch metabolit\u016F - mykotoxin\u016F - je ovlivn\u011Bna celou \u0159adou faktor\u016F, mezi n\u011B\u017E pat\u0159\u00ED p\u0159edev\u0161\u00EDm a teplotn\u00ED podm\u00EDnky b\u011Bhem r\u016Fstu a typ p\u0159edplodiny. Rozvoj infekce lze do jist\u00E9 m\u00EDry ovlivnit v\u00FDb\u011Brem vhodn\u00E9 odr\u016Fdy p\u011Bstovan\u00E9 obiloviny a p\u0159edplodiny, aplikac\u00ED pesticidn\u00EDch p\u0159\u00EDpravk\u016F a skladovac\u00EDmi podm\u00EDnkami. Metabolomick\u00E9 profilov\u00E1n\u00ED je nov\u00FDm p\u0159\u00EDstupem, kter\u00FD lze vyu\u017E\u00EDt pro posouzen\u00ED m\u00EDry napaden\u00ED mikromycetami. Principem t\u00E9to techniky je c\u00EDlov\u00E1/nec\u00EDlov\u00E1 anal\u00FDza n\u00EDzkomolekul\u00E1rn\u00EDch l\u00E1tek vzorku (metabolomu). Pokud p\u0159i m\u011B\u0159en\u00ED nedoch\u00E1z\u00ED k identifikaci t\u011Bchto l\u00E1tek, jde o metabolomick\u00FD fingerprinting. Pro anal\u00FDzu metabolomick\u00E9ho profilu/fingerprintu se \u010Dasto vyu\u017E\u00EDv\u00E1 kombinac\u00ED chromatografick\u00FDch a hmotnostn\u011B-spektrometrick\u00FDch technik. C\u00EDlem t\u00E9to studie je aplikace metabolomick\u00E9ho fingerprintingu na soubor vzork\u016F r\u016Fzn\u00FDch odr\u016Fd p\u0161enice poch\u00E1zej\u00EDc\u00EDch z mnoha lokalit \u010CR za \u00FA\u010Delem vytvo\u0159en\u00ED model\u016F, na z\u00E1klad\u011B kter\u00FDch by bylo mo\u017En\u00E9 klasifikovat vzorky dle (i) detekce pathogenu F. graminearum, (ii) po\u0161kozen\u00ED zrn a (iii) detekce mykotoxinu deoxynivalenolu (DON). Pro tento experiment byla vyu\u017Eita p\u0159\u00EDm\u00E1 anal\u00FDza v re\u00E1ln\u00E9m \u010Dase (DART) s hmotnostn\u011B-spektrometrickou detekc\u00ED s vysokorozli\u0161ovac\u00EDm analyz\u00E1torem typu orbitrap. Zna\u010Dnou p\u0159ednost\u00ED t\u00E9to techniky je velmi n\u00EDzk\u00FD \u010Das anal\u00FDzy umo\u017E\u0148uj\u00EDc\u00ED rychl\u00E9 zji\u0161t\u011Bn\u00ED v\u00FDsledk\u016F. Nam\u011B\u0159en\u00E1 data byla zpracov\u00E1na statistickou anal\u00FDzou hlavn\u00EDch komponent (PCA), kter\u00E1 slou\u017E\u00ED k redukci p\u016Fvodn\u00EDho mno\u017Estv\u00ED dat za \u00FA\u010Delem zji\u0161t\u011Bn\u00ED jejich struktury s c\u00EDlem zachov\u00E1n\u00ED co nejv\u011Bt\u0161\u00EDho mno\u017Estv\u00ED informac\u00ED a n\u00E1sledn\u011B line\u00E1rn\u00ED diskrimina\u010Dn\u00ED anal\u00FDzou (LDA), kter\u00E1 slou\u017E\u00ED k vytvo\u0159en\u00ED po\u017Eadovan\u00FDch model\u016F pro klasifikaci analyzovan\u00FDch vzork\u016F." . . "Application of ambient mass spectrometry for evaluation of resistance of cereals against Fusarium micromycetes infestation"@en . "XLIV. Symposium o nov\u00FDch sm\u011Brech v\u00FDroby a hodnocen\u00ED potravin" . . "Aplikace hmotnostn\u00ED spektrometrie v otev\u0159en\u00E9m prostoru pro hodnocen\u00ED rezistence cere\u00E1li\u00ED v\u016F\u010Di napaden\u00ED mikromycetami r. Fusarium"@cs . . . . . "Aplikace hmotnostn\u00ED spektrometrie v otev\u0159en\u00E9m prostoru pro hodnocen\u00ED rezistence cere\u00E1li\u00ED v\u016F\u010Di napaden\u00ED mikromycetami r. Fusarium"@cs . "Aplikace hmotnostn\u00ED spektrometrie v otev\u0159en\u00E9m prostoru pro hodnocen\u00ED rezistence cere\u00E1li\u00ED v\u016F\u010Di napaden\u00ED mikromycetami r. Fusarium" . "Vep\u0159\u00EDkov\u00E1, Zdenka" . "J\u00EDr\u016F, Monika" . "Application of ambient mass spectrometry for evaluation of resistance of cereals against Fusarium micromycetes infestation"@en . "Slav\u00EDkov\u00E1, Petra" . . . . "RIV/60461373:22330/14:43898090!RIV15-MZE-22330___" . . "4"^^ . . . "D\u017Euman, Zbyn\u011Bk" . "3575" . "V\u00FDzkumn\u00FD \u00FAstav potravin\u00E1\u0159sk\u00FD Praha, v.v.i." . . "2014-05-26+02:00"^^ .