Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils

The present study focuses on the application of some physical organic chemistry (POC) models for a better understanding of the interactions between oil spills and soil. By studying the sorption behavior of pure compounds, it was possible to examine the application of the multilayer model to the pred...

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Autores principales: Nudelman, N.S., Ríos, S.M., Katusich, O.
Formato: JOUR
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PCA
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08943230_v21_n4_p329_Nudelman
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spelling todo:paper_08943230_v21_n4_p329_Nudelman2023-10-03T15:42:01Z Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils Nudelman, N.S. Ríos, S.M. Katusich, O. BET model Crude oil sorption Distribution coefficients Oil NMR parameters Oil residues Oil spill PCA Crude petroleum Isotherms Methanol Nuclear magnetic resonance spectroscopy Principal component analysis Soils Sorption BET model Distribution coefficients Oil residues Physical organic chemistry (POC) models Oil spills The present study focuses on the application of some physical organic chemistry (POC) models for a better understanding of the interactions between oil spills and soil. By studying the sorption behavior of pure compounds, it was possible to examine the application of the multilayer model to the prediction of crude oil isotherms. The difference between the predicted and experimental oil isotherms was only 13%, which indicates the reliability of the model. The distribution coefficients, Kd of soil samples containing oil residuals of different ages, were also determined using methanol as a co-solvent. Desorption experiments showed that they are a function of the polarity of the liquid phases; the Kds, calculated by applying a model derived from the solvophobic theory, increase with increasing age. On the other hand, the natural attenuation of oil spills was studied by using GC and 1H NMR techniques. Signals for four types of aliphatic and for the aromatic protons were clearly assigned; signals for alcohol (OH) and carboxylic (COOH) protons were also observed; compounds exhibiting these polar groups are usually not detected in the GC-FID conventional analysis. The principal component analysis (PCA) of Kd and the parameters determined by GC and NMR, showed that the first and second PC, accounted for more than 95 and 81% of variance, for NMR and GC parameters, respectively. The detailed results suggest that the 1H NMR data would be more useful than GCs to evaluate the environmental transformations that oil spills undergo in Patagonian soils. Nevertheless, direct extrapolation of the present results to other environments is not possible because the changes depend strongly on the original chemical composition of the crude oil and the variable exposure conditions along the time. Copyright © 2008 John Wiley & Sons, Ltd. Fil:Ríos, S.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08943230_v21_n4_p329_Nudelman
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic BET model
Crude oil sorption
Distribution coefficients
Oil NMR parameters
Oil residues
Oil spill
PCA
Crude petroleum
Isotherms
Methanol
Nuclear magnetic resonance spectroscopy
Principal component analysis
Soils
Sorption
BET model
Distribution coefficients
Oil residues
Physical organic chemistry (POC) models
Oil spills
spellingShingle BET model
Crude oil sorption
Distribution coefficients
Oil NMR parameters
Oil residues
Oil spill
PCA
Crude petroleum
Isotherms
Methanol
Nuclear magnetic resonance spectroscopy
Principal component analysis
Soils
Sorption
BET model
Distribution coefficients
Oil residues
Physical organic chemistry (POC) models
Oil spills
Nudelman, N.S.
Ríos, S.M.
Katusich, O.
Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
topic_facet BET model
Crude oil sorption
Distribution coefficients
Oil NMR parameters
Oil residues
Oil spill
PCA
Crude petroleum
Isotherms
Methanol
Nuclear magnetic resonance spectroscopy
Principal component analysis
Soils
Sorption
BET model
Distribution coefficients
Oil residues
Physical organic chemistry (POC) models
Oil spills
description The present study focuses on the application of some physical organic chemistry (POC) models for a better understanding of the interactions between oil spills and soil. By studying the sorption behavior of pure compounds, it was possible to examine the application of the multilayer model to the prediction of crude oil isotherms. The difference between the predicted and experimental oil isotherms was only 13%, which indicates the reliability of the model. The distribution coefficients, Kd of soil samples containing oil residuals of different ages, were also determined using methanol as a co-solvent. Desorption experiments showed that they are a function of the polarity of the liquid phases; the Kds, calculated by applying a model derived from the solvophobic theory, increase with increasing age. On the other hand, the natural attenuation of oil spills was studied by using GC and 1H NMR techniques. Signals for four types of aliphatic and for the aromatic protons were clearly assigned; signals for alcohol (OH) and carboxylic (COOH) protons were also observed; compounds exhibiting these polar groups are usually not detected in the GC-FID conventional analysis. The principal component analysis (PCA) of Kd and the parameters determined by GC and NMR, showed that the first and second PC, accounted for more than 95 and 81% of variance, for NMR and GC parameters, respectively. The detailed results suggest that the 1H NMR data would be more useful than GCs to evaluate the environmental transformations that oil spills undergo in Patagonian soils. Nevertheless, direct extrapolation of the present results to other environments is not possible because the changes depend strongly on the original chemical composition of the crude oil and the variable exposure conditions along the time. Copyright © 2008 John Wiley & Sons, Ltd.
format JOUR
author Nudelman, N.S.
Ríos, S.M.
Katusich, O.
author_facet Nudelman, N.S.
Ríos, S.M.
Katusich, O.
author_sort Nudelman, N.S.
title Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
title_short Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
title_full Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
title_fullStr Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
title_full_unstemmed Application of some physical organic chemistry models to the study of oil spills residues in Patagonian soils
title_sort application of some physical organic chemistry models to the study of oil spills residues in patagonian soils
url http://hdl.handle.net/20.500.12110/paper_08943230_v21_n4_p329_Nudelman
work_keys_str_mv AT nudelmanns applicationofsomephysicalorganicchemistrymodelstothestudyofoilspillsresiduesinpatagoniansoils
AT riossm applicationofsomephysicalorganicchemistrymodelstothestudyofoilspillsresiduesinpatagoniansoils
AT katusicho applicationofsomephysicalorganicchemistrymodelstothestudyofoilspillsresiduesinpatagoniansoils
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