Quantum Chemical Calculation and Evaluation of Partition Coefficients for Classical and Emerging Environmentally Relevant Organic Compounds
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In: Environmental Science and Technology, Vol. 56, No. 1, 04.01.2022, p. 379-391.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Quantum Chemical Calculation and Evaluation of Partition Coefficients for Classical and Emerging Environmentally Relevant Organic Compounds
AU - Salthammer, Tunga
AU - Grimme, Stefan
AU - Stahn, Marcel
AU - Hohm, Uwe
AU - Palm, Wolf Ulrich
N1 - Publisher Copyright: © 2021 The Authors. Published by American Chemical Society
PY - 2022/1/4
Y1 - 2022/1/4
N2 - Octanol/water (KOW), octanol/air (KOA), and hexadecane/air (KHdA) partition coefficients are calculated for 67 organic compounds of environmental concern using computational chemistry. The extended CRENSO workflow applied here includes the calculation of extensive conformer ensembles with semiempirical methods and refinement through density functional theory, taking into account solvation models, especially COSMO-RS, and thermostatistical contributions. This approach is particularly advantageous for describing large and nonrigid molecules. With regard to KOW and KHdA, one can refer to many experimental data from direct and indirect measurement methods, and very good matches with results from our quantum chemical workflow are evident. In the case of the KOA values, however, good matches are only obtained for the experimentally determined values. Larger systematic deviations between data computed here and available, nonexperimental quantitative structure-activity relationship literature data occur in particular for phthalic acid esters and organophosphate esters. From a critical analysis of the coefficients calculated in this work and comparison with available literature data, we conclude that the presented quantum chemical composite approach is the most powerful so far for calculating reliable partition coefficients because all physical contributions to the conformational free energy are considered and the structure ensembles for the two phases are generated independently and consistently.
AB - Octanol/water (KOW), octanol/air (KOA), and hexadecane/air (KHdA) partition coefficients are calculated for 67 organic compounds of environmental concern using computational chemistry. The extended CRENSO workflow applied here includes the calculation of extensive conformer ensembles with semiempirical methods and refinement through density functional theory, taking into account solvation models, especially COSMO-RS, and thermostatistical contributions. This approach is particularly advantageous for describing large and nonrigid molecules. With regard to KOW and KHdA, one can refer to many experimental data from direct and indirect measurement methods, and very good matches with results from our quantum chemical workflow are evident. In the case of the KOA values, however, good matches are only obtained for the experimentally determined values. Larger systematic deviations between data computed here and available, nonexperimental quantitative structure-activity relationship literature data occur in particular for phthalic acid esters and organophosphate esters. From a critical analysis of the coefficients calculated in this work and comparison with available literature data, we conclude that the presented quantum chemical composite approach is the most powerful so far for calculating reliable partition coefficients because all physical contributions to the conformational free energy are considered and the structure ensembles for the two phases are generated independently and consistently.
KW - computational chemistry
KW - conformers
KW - emerging pollutants
KW - free energy
KW - partition coefficients
KW - solvation
KW - Chemistry
UR - http://www.scopus.com/inward/record.url?scp=85121975815&partnerID=8YFLogxK
U2 - 10.1021/acs.est.1c06935
DO - 10.1021/acs.est.1c06935
M3 - Journal articles
C2 - 34931808
AN - SCOPUS:85121975815
VL - 56
SP - 379
EP - 391
JO - Environmental Science and Technology
JF - Environmental Science and Technology
SN - 0013-936X
IS - 1
ER -