Profiles of fungal metabolites including regulated mycotoxins in individual dried Turkish figs by LC-MS/MS
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1867-1632
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Profiles of fungal metabolites including regulated mycotoxins in individual dried Turkish figs by LC-MS/MS ; day:15 ; month:7 ; year:2020 ; pages:1-7
Mycotoxin research ; (15.7.2020), 1-7
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s12550-020-00398-5
- URN
-
urn:nbn:de:101:1-2020091122443704567019
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 22:46 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sulyok, Michael
- Krska, Rudolf
- Senyuva, Hamide
- SpringerLink (Online service)
Ähnliche Objekte (12)
Trace analysis of emerging and regulated mycotoxins in infant stool by LC-MS/MS
Tracking emerging mycotoxins in food: development of an LC-MS/MS method for free and modified Alternaria toxins
Drosophila ecdysteroidome by LC-MS/MS
Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique
Study of Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) extraction FROM dried oral fluid spots (DOFS) and LC–MS/MS detection
Inferring serum proteolytic activity from LC-MS/MS data
Quantitation of raltegravir in human plasma, dried blood spots and peripheral blood mononuclear cell lysate by means of LC-MS/MS
Optimal precursor ion selection for LC-MS/MS based proteomics
Visualization of LC‐MS/MS proteomics data in MaxQuant
Optimal precursor ion selection for LC-MS/MS based proteomics
Interrogating data-independent acquisition LC–MS/MS for affinity proteomics
Steroid hormone analysis via LC-MS/MS in clinical routine diagnostics
Trace analysis of emerging and regulated mycotoxins in infant stool by LC-MS/MS
Tracking emerging mycotoxins in food: development of an LC-MS/MS method for free and modified Alternaria toxins
Drosophila ecdysteroidome by LC-MS/MS
Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique
Study of Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) extraction FROM dried oral fluid spots (DOFS) and LC–MS/MS detection
Inferring serum proteolytic activity from LC-MS/MS data
Quantitation of raltegravir in human plasma, dried blood spots and peripheral blood mononuclear cell lysate by means of LC-MS/MS
Optimal precursor ion selection for LC-MS/MS based proteomics
Visualization of LC‐MS/MS proteomics data in MaxQuant
Optimal precursor ion selection for LC-MS/MS based proteomics
Interrogating data-independent acquisition LC–MS/MS for affinity proteomics
Steroid hormone analysis via LC-MS/MS in clinical routine diagnostics
Trace analysis of emerging and regulated mycotoxins in infant stool by LC-MS/MS
Tracking emerging mycotoxins in food: development of an LC-MS/MS method for free and modified Alternaria toxins
Drosophila ecdysteroidome by LC-MS/MS
Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique
Study of Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD) extraction FROM dried oral fluid spots (DOFS) and LC–MS/MS detection
Inferring serum proteolytic activity from LC-MS/MS data
Quantitation of raltegravir in human plasma, dried blood spots and peripheral blood mononuclear cell lysate by means of LC-MS/MS
Optimal precursor ion selection for LC-MS/MS based proteomics
Visualization of LC‐MS/MS proteomics data in MaxQuant
Optimal precursor ion selection for LC-MS/MS based proteomics
Interrogating data-independent acquisition LC–MS/MS for affinity proteomics