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Video | Academy
LC/MS Unknown Identifications Using MSMS Libraries Part VIII: Identification of Unknowns with “Spectraless” Libraries
This is a complimentary approach to the NIST search of MS/MS (Tandem) libraries. Seven other sessions in the series explore the use of NIST Search Software for the identification of unknowns.
Fr, 16.7.2021
James Little/Mass Spec Interpretation Services
Video | Presentation
Identification of Unknowns by GC-MS and LC-MS Using NIST Search with Commercial and User Libraries
New improvements and free GCMS training resources, including videos and associated handouts, will be described. EI/tandem libraries utilized include NIST, Wiley, MoNA, and user-created ones.
Fr, 7.5.2021
James Little/Mass Spec Interpretation Services
Video | Academy
LC/MS Unknown Identifications Using MSMS Libraries Part VI: MS Interpreter Correlation of Substructure to MSMS Ions
A series of videos exploring the use of NIST Search Software for the identification of unknowns using tandem (MS/MS) spectra.
Th, 22.4.2021
James Little/Mass Spec Interpretation Services
Video | Academy
LC/MS Unknown Identifications Using MSMS Libraries Part III: More Detailed Discussion of MSMS Hybrid Search
A series of videos exploring the use of NIST Search Software for the identification of unknowns using tandem (MS/MS) spectra.
Fr, 5.3.2021
James Little/Mass Spec Interpretation Services
Video | Academy
LC/MS Unknown Identifications Using MSMS Libraries Part I: Overview of Software and User-Customized Configurations
A series of videos exploring the use of NIST Search Software for the identification of unknowns using tandem (MS/MS) spectra.
Th, 18.2.2021
James Little/Mass Spec Interpretation Services
Scientific article | Academy
New Trends in Liquid Chromatography and Their Utilization in Analysis of Beer and Brewery Raw Materials. Part 1. Theoretical Introduction
The advantages of UHPLC over the traditional HPLC are a nine-fold reduction of analysis time, double improvement of resolution, and triple improvement of sensitivity.
Mo, 5.10.2020
The journal Kvasny Prumysl
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LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike