Analysis of Multiresidue Pesticides Present in Ayurvedic Churna by GC-MS/MS
Poster Jul 30, 2014
Manoj Surwade, Sunil T Kumar, Aarti Karkhanis, Manish Kumar, Soma Dasgupta, Hans-Joachim Huebschmann, Paul Silcock, Thermo Fisher Scientific
Ayurvedic churna samples were extracted by liquid-liquid extraction and cleanup with dispersive solid phase extraction. The analysis was performed by GC-MS/MS using a timed-SRM detection method on Thermo Scientific TSQ 8000™ triple quadrupole GC-MS/MS instrument, employing two SRM transitions for each pesticide compound in a typical MRM method setup. Data processing and reporting are performed by using the Thermo Scientific TraceFinder™ software with one SRM transition used for quantitation and the second one for ion ratio confirmation.
Application of Solid Phase Micro Extraction (SPME) and On‐Fiber Derivatization to Detect Precursors of Biomolecules in the study of Proto‐metabolismPoster
In the studies of origins of life, plausible synthetic reaction pathways to form biological relevant molecules, or building blocks of proto‐bilayer lipids, protein, RNA, and DNA in the primitive environment have been investigated intensively.READ MORE
A New Tool for the Automated Sample Preparation of Whole Blood Samples by LC-MS using a Commercial AutosamplerPoster
Automated sample preparation reduces the costs per sample and minimizes sample handling errors. Usually expensive and highly specialized pipetting robots are used. However, most of these systems are not designed with a direct interface for LC-MS applications. In addition common pipetting systems are not optimized for smaller scale sample series. Here we present a new tool for liquid handling of whole blood samples and direct sample injection.
Multi-Residue Pesticide Analysis in Food Matrices Using Ultivo Triple Quad LC/MSPoster
Regulatory agencies have set maximum residue levels for hundreds of pesticides and their metabolites in foods.READ MORE
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8th International Symposium on Recent Advances in Food Analysis (RAFA 2017)
Nov 07 - Nov 10, 2017