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Prediction of soil organic carbon partition coefficients by soil column liquid chromatography
Guo, RB; Liang, XM; Chen, JP; Wu, WZ; Zhang, Q; Martens, D; Kettrup, A
KeywordSoil Organic Carbon Partition Coefficient Prediction Hydrophobic Parameter Partition Coefficients
Source PublicationJOURNAL OF CHROMATOGRAPHY A
2004-04-30
DOI10.1016/j.chroma.2004.02.043
Volume1035Issue:1Pages:31-36
Indexed BySCI
SubtypeArticle
Funding Project103
Contribution Rank1;1
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS SubjectBiochemical Research Methods ; Chemistry, Analytical
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry
WOS KeywordK-OC ; ADSORPTION COEFFICIENTS ; SORPTION ; PESTICIDES ; RETENTION ; CHEMICALS ; MATTER ; WATER
AbstractTo avoid the limitation of the widely used prediction methods of soil organic carbon partition coefficients (K-OC) from hydrophobic parameters, e.g., the n-octanol/water partition coefficients (K-OW) and the reversed phase high performance liquid chromatographic (RP-HPLC) retention factors, the soil column liquid chromatographic (SCLC) method was developed for K-OC prediction. The real soils were used as the packing materials of RP-HPLC columns, and the correlations between the retention factors of organic compounds on soil columns (k(soil)) and K-OC measured by batch equilibrium method were studied. Good correlations were achieved between k(soil) and K-OC for three types of soils with different properties. All the square of the correlation coefficients (R-2) of the linear regression between log k(soi) and log K-OC were higher than 0.89 with standard deviations of less than 0.21. In addition, the prediction of K-OC from K-OW and the RP-HPLC retention factors on cyanopropyl (CN) stationary phase (k(CN)) was comparatively evaluated for the three types of soils. The results show that the prediction of K-OC from k(CN) and K-OW is only applicable to some specific types of soils. The results obtained in the present study proved that the SCLC method is appropriate for the K-OC prediction for different types of soils, however the applicability of using hydrophobic parameters to predict K-OC largely depends on the properties of soil concerned. (C) 2004 Elsevier B.V. All rights reserved.
Language英语
URL查看原文
WOS IDWOS:000220790800005
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/81213
Collection中国科学院大连化学物理研究所
Affiliation1.Chinese Acad Sci, Dalian Inst Chem Phys, Dalian 116011, Peoples R China
2.GSF, Natl Res Ctr Environm & Hlth, Inst Ecol Chem, D-85764 Neuherberg, Germany
3.Tech Univ Munich, Lehrstuhl Okolog Chem & Umweltanalyt, D-85350 Freising Weihenstephan, Germany
Recommended Citation
GB/T 7714
Guo, RB,Liang, XM,Chen, JP,et al. Prediction of soil organic carbon partition coefficients by soil column liquid chromatography[J]. JOURNAL OF CHROMATOGRAPHY A,2004,1035(1):31-36.
APA Guo, RB.,Liang, XM.,Chen, JP.,Wu, WZ.,Zhang, Q.,...&Kettrup, A.(2004).Prediction of soil organic carbon partition coefficients by soil column liquid chromatography.JOURNAL OF CHROMATOGRAPHY A,1035(1),31-36.
MLA Guo, RB,et al."Prediction of soil organic carbon partition coefficients by soil column liquid chromatography".JOURNAL OF CHROMATOGRAPHY A 1035.1(2004):31-36.
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