Pregled bibliografske jedinice broj: 891236
Prediction of biodegradability of aromatics in water using QSAR modeling
Prediction of biodegradability of aromatics in water using QSAR modeling // Ecotoxicology and environmental safety, 139 (2017), 139-149 doi:10.1016/j.ecoenv.2017.01.031 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 891236 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Prediction of biodegradability of aromatics in water using QSAR modeling
Autori
Cvetnić, Matija ; Juretić Perišić, Daria ; Kovačić, Marin ; Kušić, Hrvoje ; Đermadi, Jasna ; Horvat, Sanja ; Bolanča, Tomislav ; Marin, Vedrana ; Karamanis, Panaghiotis ; Lončarić Božić, Ana
Izvornik
Ecotoxicology and environmental safety (0147-6513) 139
(2017);
139-149
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
biodegradability ; aromatics ; photooxidative degradation ; half-life ; structure-activity relationship
Sažetak
The study was aimed at developing models for predicting the biodegradability of aromatic water pollutants. For that purpose, 36 single-benzene ring compounds, with different type, number and position of substituents, were used. The biodegradability was estimated according to the ratio of the biochemical (BOD5) and chemical (COD) oxygen demand values determined for parent compounds ((BOD5/COD)0), as well as for their reaction mixtures in half-life achieved by UV- C/H2O2 process ((BOD5/COD)t1/2). The models correlating biodegradability and molecular structure characteristics of studied pollutants were derived using quantitative structure- activity relationship (QSAR) principles and tools. Upon derivation of the models and calibration on the training and subsequent testing on the test set, 3- and 5-variable models were selected as the most predictive for (BOD5/COD)0 and (BOD5/COD)t1/2, respectively, according to the values of statistical parameters R2 and Q2. Hence, 3-variable model predicting (BOD5/COD)0 possessed R2=0.863 and Q2=0.799 for training set, and R2=0.710 for test set, while 5- variable model predicting (BOD5/COD)1/2 possessed R2=0.886 and Q2=0.788 for training set, and R2=0.564 for test set. The selected models are interpretable and transparent, reflecting key structural features that influence targeted biodegradability and can be correlated with the degradation mechanisms of studied compounds by UV-C/H2O2.
Izvorni jezik
Engleski
Znanstvena područja
Kemijsko inženjerstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-7992 - Modeliranje okolišnih aspekata napredne obrade voda za razgradnju prioritetnih onečišćivala (MEAoWT) (Bolanča, Tomislav, HRZZ ) ( CroRIS)
Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb,
PLIVA HRVATSKA d.o.o.
Profili:
Marin Kovačić
(autor)
Matija Cvetnić
(autor)
Daria Juretić Perišić
(autor)
Ana Lončarić Božić
(autor)
Tomislav Bolanča
(autor)
Hrvoje Kušić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)
- SIIC Data Bases