Structure-properties relationships of natural and synthetic molecules and their metal complexes

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Structure-properties relationships of natural and synthetic molecules and their metal complexes (en)
Корелација структуре и особина природних и синтетичких молекула и њихових комплекса са металима (sr)
Korelacija strukture i osobina prirodnih i sintetičkih molekula i njihovih kompleksa sa metalima (sr_RS)
Authors

Publications

Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography

Andrić, Filip; Segan, Sandra; Dramicanin, Aleksandra; Majstorović, Helena; Milojković-Opsenica, Dušanka

(Elsevier, Amsterdam, 2016)

TY  - JOUR
AU  - Andrić, Filip
AU  - Segan, Sandra
AU  - Dramicanin, Aleksandra
AU  - Majstorović, Helena
AU  - Milojković-Opsenica, Dušanka
PY  - 2016
UR  - https://intam.institut-tamis.rs/handle/123456789/168
AB  - Soil-water partition coefficient normalized to the organic carbon.content (K-OC) is one of the crucial properties influencing the fate of organic compounds in the environment. Chromatographic methods are well established alternative for direct sorption techniques used for K-OC determination. The present work proposes reversed-phase thin-layer chromatography (RP-TLC) as a simpler, yet equally accurate method as officially recommended HPLC technique. Several TLC systems were studied including octadecyl-(RP18) and cyano-(CN) modified silica layers in combination with methanol-water and acetonitrile-water mixtures as mobile phases. In total 50 compounds of different molecular shape, size, and various ability to establish specific interactions were selected (phenols, beznodiazepines, triazine herbicides, and polyaromatic hydrocarbons). Calibration set of 29 compounds with known logK(OC) values determined by sorption experiments was used to build simple univariate calibrations, Principal Component Regression (PCR) and Partial Least Squares (PLS) models between logK(OC) and TLC retention parameters. Models exhibit good statistical performance, indicating that CN-layers contribute better to logK(OC) modeling than RP18-silica. The most promising TLC methods, officially recommended HPLC method, and four in silico estimation approaches have been compared by non-parametric Sum of Ranking Differences approach (SRD). The best estimations of logK(OC) values were achieved by simple univariate calibration of TLC retention data involving CN-silica layers and moderate content of methanol (40-50% v/v). They were ranked far well compared to the officially recommended HPLC method which was ranked in the middle. The worst estimates have been obtained from in silico computations based on octanol-water partition coefficient. Linear Solvation Energy Relationship study revealed that increased polarity of CN-layers over RP18 in combination with methanol-water mixtures is the key to better modeling of logK(OC) through significant diminishing of dipolar and proton accepting influence of the mobile phase as well as enhancing molar refractivity in excess of the chromatographic systems.
PB  - Elsevier, Amsterdam
T2  - Journal of Chromatography A
T1  - Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography
EP  - 144
SP  - 136
VL  - 1458
DO  - 10.1016/j.chroma.2016.06.063
UR  - conv_160
ER  - 
@article{
author = "Andrić, Filip and Segan, Sandra and Dramicanin, Aleksandra and Majstorović, Helena and Milojković-Opsenica, Dušanka",
year = "2016",
abstract = "Soil-water partition coefficient normalized to the organic carbon.content (K-OC) is one of the crucial properties influencing the fate of organic compounds in the environment. Chromatographic methods are well established alternative for direct sorption techniques used for K-OC determination. The present work proposes reversed-phase thin-layer chromatography (RP-TLC) as a simpler, yet equally accurate method as officially recommended HPLC technique. Several TLC systems were studied including octadecyl-(RP18) and cyano-(CN) modified silica layers in combination with methanol-water and acetonitrile-water mixtures as mobile phases. In total 50 compounds of different molecular shape, size, and various ability to establish specific interactions were selected (phenols, beznodiazepines, triazine herbicides, and polyaromatic hydrocarbons). Calibration set of 29 compounds with known logK(OC) values determined by sorption experiments was used to build simple univariate calibrations, Principal Component Regression (PCR) and Partial Least Squares (PLS) models between logK(OC) and TLC retention parameters. Models exhibit good statistical performance, indicating that CN-layers contribute better to logK(OC) modeling than RP18-silica. The most promising TLC methods, officially recommended HPLC method, and four in silico estimation approaches have been compared by non-parametric Sum of Ranking Differences approach (SRD). The best estimations of logK(OC) values were achieved by simple univariate calibration of TLC retention data involving CN-silica layers and moderate content of methanol (40-50% v/v). They were ranked far well compared to the officially recommended HPLC method which was ranked in the middle. The worst estimates have been obtained from in silico computations based on octanol-water partition coefficient. Linear Solvation Energy Relationship study revealed that increased polarity of CN-layers over RP18 in combination with methanol-water mixtures is the key to better modeling of logK(OC) through significant diminishing of dipolar and proton accepting influence of the mobile phase as well as enhancing molar refractivity in excess of the chromatographic systems.",
publisher = "Elsevier, Amsterdam",
journal = "Journal of Chromatography A",
title = "Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography",
pages = "144-136",
volume = "1458",
doi = "10.1016/j.chroma.2016.06.063",
url = "conv_160"
}
Andrić, F., Segan, S., Dramicanin, A., Majstorović, H.,& Milojković-Opsenica, D.. (2016). Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography. in Journal of Chromatography A
Elsevier, Amsterdam., 1458, 136-144.
https://doi.org/10.1016/j.chroma.2016.06.063
conv_160
Andrić F, Segan S, Dramicanin A, Majstorović H, Milojković-Opsenica D. Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography. in Journal of Chromatography A. 2016;1458:136-144.
doi:10.1016/j.chroma.2016.06.063
conv_160 .
Andrić, Filip, Segan, Sandra, Dramicanin, Aleksandra, Majstorović, Helena, Milojković-Opsenica, Dušanka, "Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography" in Journal of Chromatography A, 1458 (2016):136-144,
https://doi.org/10.1016/j.chroma.2016.06.063 .,
conv_160 .
3
9
8
9

3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography

Milojković-Opsenica, Dušanka; Majstorović, Helena; Radoičić, Aleksandra; Tešić, Živoslav

(Springer Heidelberg, Heidelberg, 2015)

TY  - JOUR
AU  - Milojković-Opsenica, Dušanka
AU  - Majstorović, Helena
AU  - Radoičić, Aleksandra
AU  - Tešić, Živoslav
PY  - 2015
UR  - https://intam.institut-tamis.rs/handle/123456789/163
AB  - An overview of the adsorption characteristics of 3-cyanopropylsiloxane-bonded silica gel as a specific, moderately polar sorbent which can be used for separation of different classes of organic and inorganic substances in both normal- and reversed-phase chromatography is presented. The most important separation mechanisms that govern the retention on this sorbent are underlined. In addition, some recently published applications of 3-cyanopropylsiloxane-bonded silica gel as a sorbent in thin-layer chromatography are listed.
PB  - Springer Heidelberg, Heidelberg
T2  - JPC-Journal of Planar Chromatography-Modern TLC
T1  - 3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography
EP  - 114
IS  - 2
SP  - 106
VL  - 28
DO  - 10.1556/JPC.28.2015.2.4
UR  - conv_157
ER  - 
@article{
author = "Milojković-Opsenica, Dušanka and Majstorović, Helena and Radoičić, Aleksandra and Tešić, Živoslav",
year = "2015",
abstract = "An overview of the adsorption characteristics of 3-cyanopropylsiloxane-bonded silica gel as a specific, moderately polar sorbent which can be used for separation of different classes of organic and inorganic substances in both normal- and reversed-phase chromatography is presented. The most important separation mechanisms that govern the retention on this sorbent are underlined. In addition, some recently published applications of 3-cyanopropylsiloxane-bonded silica gel as a sorbent in thin-layer chromatography are listed.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "JPC-Journal of Planar Chromatography-Modern TLC",
title = "3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography",
pages = "114-106",
number = "2",
volume = "28",
doi = "10.1556/JPC.28.2015.2.4",
url = "conv_157"
}
Milojković-Opsenica, D., Majstorović, H., Radoičić, A.,& Tešić, Ž.. (2015). 3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography. in JPC-Journal of Planar Chromatography-Modern TLC
Springer Heidelberg, Heidelberg., 28(2), 106-114.
https://doi.org/10.1556/JPC.28.2015.2.4
conv_157
Milojković-Opsenica D, Majstorović H, Radoičić A, Tešić Ž. 3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography. in JPC-Journal of Planar Chromatography-Modern TLC. 2015;28(2):106-114.
doi:10.1556/JPC.28.2015.2.4
conv_157 .
Milojković-Opsenica, Dušanka, Majstorović, Helena, Radoičić, Aleksandra, Tešić, Živoslav, "3-Cyanopropylsiloxane-Bonded Silica Gel: Characteristics and Applications in Thin-Layer Chromatography" in JPC-Journal of Planar Chromatography-Modern TLC, 28, no. 2 (2015):106-114,
https://doi.org/10.1556/JPC.28.2015.2.4 .,
conv_157 .
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1
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