TY  - JOUR
AU  - Schilling, Klaus
AU  - Krmar, Jovana
AU  - Maljurić, Nevena
AU  - Pawellek, Ruben
AU  - Protić, Ana
AU  - Holzgrabe, Ulrike
PY  - 2019
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3337
AB  - In this study, a quantitative structure-property relationship model was built in order to link molecular descriptors and chromatographic parameters as inputs towards CAD responsiveness. Aminoglycoside antibiotics, sugars, and acetylated amino sugars, which all lack a UV/vis chromophore, were selected as model substances due to their polar nature that represents a challenge in generating a CAD response. Acetone, PFPA, flow rate, data rate, filter constant, SM5_B(s), ATS7s, SpMin1_Bh(v), Mor09e, Mor22e, E1u, R7v+, and VP as the most influential inputs were correlated with the CAD response by virtue of ANN applying a backpropagation learning rule. External validation on previously unseen substances showed that the developed 13-6-3-1 ANN model could be used for CAD response prediction across the examined experimental domain reliably (R-2 0.989 and RMSE 0.036). The obtained network was used to reveal CAD response correlations. The impact of organic modifier content and flow rate was in accordance with the theory of the detector's functioning. Additionally, the significance of SpMin1_Bh(v) aided in emphasizing the often neglected surface-dependent CAD character, while the importance of Mor22e as a molecular descriptor accentuated its dependency on the number of electronegative atoms taking part in charging the formed particles. The significance of PFPA demonstrated the possibility of using evaporative chaotropic reagents in CAD response improvement when dealing with highly polar substances that act as kosmotropes. The network was also used in identifying possible interactions between the most significant inputs. A joint effect of PFPA and acetone was shown, representing a good starting point for further investigation with different and, especially, eco-friendly organic solvents and chaotropic agents in the routine application of CAD.
PB  - Springer Heidelberg, Heidelberg
T2  - Analytical and Bioanalytical Chemistry
T1  - Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response
VL  - 411
IS  - 13
SP  - 2945
EP  - 2959
DO  - 10.1007/s00216-019-01744-y
ER  - 

@article{
author = "Schilling, Klaus and Krmar, Jovana and Maljurić, Nevena and Pawellek, Ruben and Protić, Ana and Holzgrabe, Ulrike",
year = "2019",
abstract = "In this study, a quantitative structure-property relationship model was built in order to link molecular descriptors and chromatographic parameters as inputs towards CAD responsiveness. Aminoglycoside antibiotics, sugars, and acetylated amino sugars, which all lack a UV/vis chromophore, were selected as model substances due to their polar nature that represents a challenge in generating a CAD response. Acetone, PFPA, flow rate, data rate, filter constant, SM5_B(s), ATS7s, SpMin1_Bh(v), Mor09e, Mor22e, E1u, R7v+, and VP as the most influential inputs were correlated with the CAD response by virtue of ANN applying a backpropagation learning rule. External validation on previously unseen substances showed that the developed 13-6-3-1 ANN model could be used for CAD response prediction across the examined experimental domain reliably (R-2 0.989 and RMSE 0.036). The obtained network was used to reveal CAD response correlations. The impact of organic modifier content and flow rate was in accordance with the theory of the detector's functioning. Additionally, the significance of SpMin1_Bh(v) aided in emphasizing the often neglected surface-dependent CAD character, while the importance of Mor22e as a molecular descriptor accentuated its dependency on the number of electronegative atoms taking part in charging the formed particles. The significance of PFPA demonstrated the possibility of using evaporative chaotropic reagents in CAD response improvement when dealing with highly polar substances that act as kosmotropes. The network was also used in identifying possible interactions between the most significant inputs. A joint effect of PFPA and acetone was shown, representing a good starting point for further investigation with different and, especially, eco-friendly organic solvents and chaotropic agents in the routine application of CAD.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Analytical and Bioanalytical Chemistry",
title = "Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response",
volume = "411",
number = "13",
pages = "2945-2959",
doi = "10.1007/s00216-019-01744-y"
}

Schilling, K., Krmar, J., Maljurić, N., Pawellek, R., Protić, A.,& Holzgrabe, U.. (2019). Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response. in Analytical and Bioanalytical Chemistry
Springer Heidelberg, Heidelberg., 411(13), 2945-2959.
https://doi.org/10.1007/s00216-019-01744-y

Schilling K, Krmar J, Maljurić N, Pawellek R, Protić A, Holzgrabe U. Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response. in Analytical and Bioanalytical Chemistry. 2019;411(13):2945-2959.
doi:10.1007/s00216-019-01744-y .

Schilling, Klaus, Krmar, Jovana, Maljurić, Nevena, Pawellek, Ruben, Protić, Ana, Holzgrabe, Ulrike, "Quantitative structure-property relationship modeling of polar analytes lacking UV chromophores to charged aerosol detector response" in Analytical and Bioanalytical Chemistry, 411, no. 13 (2019):2945-2959,
https://doi.org/10.1007/s00216-019-01744-y . .