Company Filing History:
Years Active: 2009-2010
Title: Rovshan Goumbatoglu Sadygov: Innovator in Chromatographic Technologies
Introduction
Rovshan Goumbatoglu Sadygov is a prominent inventor based in San Jose, CA. He has made significant contributions to the field of chromatography, particularly in the area of liquid chromatography-mass spectrometry (LC-MS). With a total of 3 patents, Sadygov's work has advanced the capabilities of data analysis in peptide sequencing.
Latest Patents
Sadygov's latest patents include a two-step method to align three-dimensional LC-MS chromatographic surfaces. This innovative method involves a pre-alignment step that utilizes transformation-based correlation analysis of base peak information to roughly align data files. The subsequent full alignment step computes a correlation matrix from the full MS scan information, allowing for the identification of corresponding scan numbers. This approach significantly reduces computational expenses and enhances the accuracy of the alignment process.
Another notable patent focuses on data analysis to provide a revised data set for peptide sequencing determination. This invention disregards less useful spectral data resulting from fragmentation by electron transfer dissociation (ETD), thereby improving the identification of precursor ions. The method streamlines database searching capabilities, reducing computational requirements and costs while enhancing the overall confidence in peptide sequence identification.
Career Highlights
Sadygov is currently associated with Thermo Finnigan LLC, where he continues to develop innovative solutions in the field of mass spectrometry. His expertise in chromatographic technologies has positioned him as a key player in advancing analytical methods used in various scientific applications.
Collaborations
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Conclusion
Rovshan Goumbatoglu Sadygov's contributions to chromatography and mass spectrometry exemplify the impact of innovative thinking in scientific research. His patents not only enhance data analysis techniques but also improve the efficiency and accuracy of peptide sequencing.