scholarly journals Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect as a Filter in Mass Spectrometry Imaging

2019 ◽  
Author(s):  
Christopher Kune ◽  
Andréa Mc Cann ◽  
Raphaël La Rocca ◽  
Anthony Arguelles Arias ◽  
Mathieu Tiquet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Mass Defect ◽  
Exact Mass ◽  
Detection And Identification ◽  
Homologous Compounds ◽  
Brain Tissue Section ◽  
Efficient Data ◽  
Kendrick Mass Defect ◽  
Related Compounds

<div> <p>Kendrick mass defect (KMD) analysis is widely used for helping the detection and identification of chemically related compounds based on exact mass measurements. We report here the use of KMD as a criterion for filtering complex mass spectrometry dataset. The method enables an automated, easy and efficient data processing, enabling the reconstruction of 2D distributions of family of homologous compounds from MSI images. We show that the KMD filtering, based on an in-house software, is suitable and robust for high resolution (full width at half-maximum, FWHM, at <i>m/z</i> 410 of 20 000) and very high-resolution (FWHM, at <i>m/z</i> 410 of 160 000) MSI data. This method has been successfully applied to two different types of samples, bacteria co-cultures and brain tissue section</p> </div>

scholarly journals Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect as a Filter in Mass Spectrometry Imaging

2019 ◽  
Author(s):  
Christopher Kune ◽  
Andréa Mc Cann ◽  
Raphaël La Rocca ◽  
Anthony Arguelles Arias ◽  
Mathieu Tiquet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Mass Defect ◽  
Exact Mass ◽  
Detection And Identification ◽  
Homologous Compounds ◽  
Brain Tissue Section ◽  
Efficient Data ◽  
Kendrick Mass Defect ◽  
Related Compounds

<div> <p>Kendrick mass defect (KMD) analysis is widely used for helping the detection and identification of chemically related compounds based on exact mass measurements. We report here the use of KMD as a criterion for filtering complex mass spectrometry dataset. The method enables an automated, easy and efficient data processing, enabling the reconstruction of 2D distributions of family of homologous compounds from MSI images. We show that the KMD filtering, based on an in-house software, is suitable and robust for high resolution (full width at half-maximum, FWHM, at <i>m/z</i> 410 of 20 000) and very high-resolution (FWHM, at <i>m/z</i> 410 of 160 000) MSI data. This method has been successfully applied to two different types of samples, bacteria co-cultures and brain tissue section</p> </div>

scholarly journals Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect as a Filter in Mass Spectrometry Imaging

2019 ◽  
Author(s):  
Christopher Kune ◽  
Andréa Mc Cann ◽  
Raphaël La Rocca ◽  
Anthony Arguelles Arias ◽  
Mathieu Tiquet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
Mass Spectrometry Data ◽  
Mass Defect ◽  
Imaging Data ◽  
Exact Mass ◽  
Detection And Identification ◽  
Efficient Data ◽  
Kendrick Mass Defect ◽  
Related Compounds

Draft article concerning our work about the use of Kendrick mass defect for filtering mass spectrometry imaging data. Kendrick mass defect (KMD) analysis is widely used for helping the detection and identification of chemically related compounds based on exact mass measurements. We report here the use of KMD as a criterion for filtering complex mass spectrometry data. The method enables an automated, faster and efficient data processing, enabling the reconstruction of 2D distributions of family of homologous compound in MSI images. We show that the KMD filtering, based on a homemade software, is suitable for low resolution and high resolution MSI data. This method has been successfully applied to two different types of samples, bacteria co-cultures and brain tissue section.

scholarly journals Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect As a Filter in Mass Spectrometry Imaging

2019 ◽  
Vol 91 (20) ◽  
pp. 13112-13118 ◽  
Author(s):  
Christopher Kune ◽  
Andréa McCann ◽  
La Rocca Raphaël ◽  
Anthony Arguelles Arias ◽  
Mathieu Tiquet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
Mass Defect ◽  
Kendrick Mass Defect ◽  
Related Compounds
Sign in / Sign up

Export Citation Format

Share Document