Current Trends of Liquid Chromatography Tandem Mass Spectroscopy Use in Clinical Gynecology

2019 ◽  
Vol 70 (6) ◽  
pp. 2021-2025
Author(s):  
Aida Petca ◽  
Dan Cristian Radu ◽  
Razvan Cosmin Petca ◽  
Claudia Mehedintu ◽  
Ramona Ileana Barac ◽  
...  
Keyword(s):  
Liquid Chromatography ◽  
Mass Spectroscopy ◽  
Tandem Mass ◽  
Quality Healthcare ◽  
Current Trends ◽  
Healthcare It ◽  
Liquid Chromatography Tandem Mass ◽  
Tandem Mass Spectroscopy ◽  
Technical Innovations ◽  
Hormonal Milieu

In the present environment of staggering technical innovations and increasing expectations of quality healthcare it is evident that we need to fine tune our diagnostic abilities in order to fulfil patients� demands for more efficient therapies and augmented quality of life. We are looking for current trends in clinical gynecology that make use of Liquid chromatography tandem mass spectroscopy, technology not yet employed in Romanian laboratories for the clinical practice but that is rapidly becoming the worldwide method of choice for accurate characterization of the hormonal milieu essential for the requirements of women healthcare.

IDENTIFICATION OF OLIGOSTILBENES FROM Dipterocarpus semivestitus THROUGH DEREPLICATION TECHNIQUE

2015 ◽  
Vol 77 (2) ◽  
Author(s):  
Rohaity Ramli ◽  
Nor Hadiani Ismail ◽  
Nurhuda Manshoor
Keyword(s):  
Liquid Chromatography ◽  
Mass Spectroscopy ◽  
Published Data ◽  
Tandem Mass ◽  
Separation Techniques ◽  
Mass Fragmentation ◽  
Liquid Chromatography Tandem Mass ◽  
Tandem Mass Spectroscopy ◽  
Fragmentation Patterns

Three oligostilbenes have been identified in stems extract of Dipterocarpus semivestitus through dereplication strategy. The stems extract was injected to liquid chromatography tandem mass spectroscopy. Two tetramer, hopeaphenol and hemsleyanol D, were identified by comparing their mass fragmentation patterns with in-house library. A trimer, a-viniferin was isolated by various separation techniques and its structure was confirmed by NMR analyses and comparison with published data.

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