TY  - JOUR
AU  - Veličković, Dušan
AU  - Zhang, Guanshi
AU  - Bezbradica, Dejan
AU  - Bhattacharjee, Arunima
AU  - Pasa-Tolić, Ljiljana
AU  - Sharma, Kumar
AU  - Alexandrov, Theodore
AU  - Anderton, Christopher R.
PY  - 2020
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4489
AB  - Automated spraying devices have become ubiquitous in laboratories employing matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), in part because they permit control of a number of matrix application parameters that can easily be reproduced for intra- and interlaboratory studies. Determining the optimal parameters for MALDI matrix application, such as temperature, flow rate, spraying velocity, number of spraying cycles, and solvent composition for matrix application, is critical for obtaining high-quality MALDI-MSI data. However, there are no established approaches for optimizing these multiple parameters simultaneously. Instead optimization is performed iteratively (i.e., one parameter at a time), which is time-consuming and can lead to overall nonoptimal settings. In this report, we demonstrate the use a novel experimental design and the response surface methodology to optimize five parameters of MALDI matrix application using a robotic sprayer. Thirty-two combinations of MALDI matrix spraying conditions were tested, which allowed us to elucidate relationships between each of the application parameters as determined by MALDI-MS (specifically, using a 15 T Fourier transform ion cyclotron resonance mass spectrometer). As such, we were able to determine the optimal automated spraying parameters that minimized signal delocalization and enabled high MALDI sensitivity. We envision this optimization strategy can be utilized for other matrix application approaches and MALDI-MSI analyses of other molecular classes and tissue types.
PB  - Amer Chemical Soc, Washington
T2  - Journal of the American Society for Mass Spectrometry
T1  - Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging
EP  - 516
IS  - 3
SP  - 508
VL  - 31
DO  - 10.1021/jasms.9b00074
ER  - 

@article{
author = "Veličković, Dušan and Zhang, Guanshi and Bezbradica, Dejan and Bhattacharjee, Arunima and Pasa-Tolić, Ljiljana and Sharma, Kumar and Alexandrov, Theodore and Anderton, Christopher R.",
year = "2020",
abstract = "Automated spraying devices have become ubiquitous in laboratories employing matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), in part because they permit control of a number of matrix application parameters that can easily be reproduced for intra- and interlaboratory studies. Determining the optimal parameters for MALDI matrix application, such as temperature, flow rate, spraying velocity, number of spraying cycles, and solvent composition for matrix application, is critical for obtaining high-quality MALDI-MSI data. However, there are no established approaches for optimizing these multiple parameters simultaneously. Instead optimization is performed iteratively (i.e., one parameter at a time), which is time-consuming and can lead to overall nonoptimal settings. In this report, we demonstrate the use a novel experimental design and the response surface methodology to optimize five parameters of MALDI matrix application using a robotic sprayer. Thirty-two combinations of MALDI matrix spraying conditions were tested, which allowed us to elucidate relationships between each of the application parameters as determined by MALDI-MS (specifically, using a 15 T Fourier transform ion cyclotron resonance mass spectrometer). As such, we were able to determine the optimal automated spraying parameters that minimized signal delocalization and enabled high MALDI sensitivity. We envision this optimization strategy can be utilized for other matrix application approaches and MALDI-MSI analyses of other molecular classes and tissue types.",
publisher = "Amer Chemical Soc, Washington",
journal = "Journal of the American Society for Mass Spectrometry",
title = "Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging",
pages = "516-508",
number = "3",
volume = "31",
doi = "10.1021/jasms.9b00074"
}

Veličković, D., Zhang, G., Bezbradica, D., Bhattacharjee, A., Pasa-Tolić, L., Sharma, K., Alexandrov, T.,& Anderton, C. R.. (2020). Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging. in Journal of the American Society for Mass Spectrometry
Amer Chemical Soc, Washington., 31(3), 508-516.
https://doi.org/10.1021/jasms.9b00074

Veličković D, Zhang G, Bezbradica D, Bhattacharjee A, Pasa-Tolić L, Sharma K, Alexandrov T, Anderton CR. Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging. in Journal of the American Society for Mass Spectrometry. 2020;31(3):508-516.
doi:10.1021/jasms.9b00074 .

Veličković, Dušan, Zhang, Guanshi, Bezbradica, Dejan, Bhattacharjee, Arunima, Pasa-Tolić, Ljiljana, Sharma, Kumar, Alexandrov, Theodore, Anderton, Christopher R., "Response Surface Methodology As a New Approach for Finding Optimal MALDI Matrix Spraying Parameters for Mass Spectrometry Imaging" in Journal of the American Society for Mass Spectrometry, 31, no. 3 (2020):508-516,
https://doi.org/10.1021/jasms.9b00074 . .