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Extending proteochemometric modeling for unraveling the sorption behavior of compound-soil interaction
Mahidol Univ, Fac Med Technol, Ctr Data Min & Biomed Informat, Bangkok 10700, Thailand..
Mahidol Univ, Fac Med Technol, Ctr Data Min & Biomed Informat, Bangkok 10700, Thailand..
Mahidol Univ, Fac Med Technol, Ctr Data Min & Biomed Informat, Bangkok 10700, Thailand..
Mahidol Univ, Fac Med Technol, Dept Clin Microbiol & Appl Technol, Bangkok 10700, Thailand..
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2016 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 151, 219-227 p.Article in journal (Refereed) Published
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Abstract [en]

Contamination of ground water by industrial chemicals presents a major environmental and health problem. Soil sorption plays an important role in the transport and movement of such pollutant chemicals. In this study, proteochemometric (PCM) modeling was used to unravel the origins of interactions of 17 phthalic acid esters (PAEs) against 3 soil types by predicting the organic carbon content normalized sorption coefficient (logK(oc)) values as a function of fingerprint descriptors of 17 PAEs and physical and textural properties of 3 soils. The results showed that PCM models provided excellent predictivity (R-2 = 0.94, Q(2) = 0.89,Q(Ext)(2) = 0.85). In further validation of the model, our proposed PCM model was assessed by leave-one-compound-out (Q(LOCO)(2) = 0.86) and leave-one-soil-out (Q(LOCO)(2) = 0.86) cross-validations. The transparency of the PCM model allowed interpretation of the underlying importance of descriptors, which potentially contributes to a better understanding on the outcome of PAEs in the environment. A thorough analysis of descriptor importance revealed the contribution of secondary carbon atoms on the hydrophobicity and flexibility of PAEs as significant properties in influencing the soil sorption capacity.

Place, publisher, year, edition, pages
2016. Vol. 151, 219-227 p.
Keyword [en]
Phthalic acid esters, Soil sorption, Quantitative structure property relationship, Proteochemometrics, Data mining
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-281804DOI: 10.1016/j.chemolab.2016.01.002ISI: 000370884700025OAI: oai:DiVA.org:uu-281804DiVA: diva2:915673
Funder
Swedish Research Council, C0610701
Available from: 2016-03-30 Created: 2016-03-30 Last updated: 2017-11-30Bibliographically approved

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Lapins, MarisWikberg, Jarl E. S.

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