Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 797286

Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling


Đermadi, Jasna; Juretić Perišić, Daria; Novak Stankov, Mirjana; Kušić, Hrvoje; Ukić, Šime; Bolanča, Tomislav; Lončarić Božić, Ana
Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling // -
Honolulu (HI), Sjedinjene Američke Države, 2015. str. - (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 797286 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling

Autori
Đermadi, Jasna ; Juretić Perišić, Daria ; Novak Stankov, Mirjana ; Kušić, Hrvoje ; Ukić, Šime ; Bolanča, Tomislav ; Lončarić Božić, Ana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
2015 International Chemical Congress of Pacific Basin Societis

Mjesto i datum
Honolulu (HI), Sjedinjene Američke Države, 15.12.2015. - 20.12.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
aromatics ; biodegradability ; toxicity ; structural-relationship modeling ; structure-activity relationship

Sažetak
The study was aimed at developing models for predicting the biodegradability and toxicity of aromatic water pollutants. For that purpose, 32 single-benzene ring compounds, with different type, number and position of substituents, were used. Their biodegradability was estimated according to the ratio of the determined biochemical and chemical oxygen demand values. Their activity towards Vibrio fischeri was measured and expressed in toxicity units. The models were derived using quantitative structure- activity relationship (QSAR) principles and tools. The structural features of the studied compounds were described by molecular descriptors derived through DRAGON 3.0 software and by semiempirical MNDO and AM1 methods using their optimized molecular structures. Upon derivation of the models and calibration and subsequent testing on the training and the test set, respectively, 4- variable models were selected as the most predictive in both cases of the activities studied. The most contributing structural feature influencing biodegradability of the studied compounds is molecular mass. The toxicity strongly depends on the symmetry and shape of the molecular structure, while weighting schemes of descriptors included suggest the influence of electrotopological states as well. Both models were verified on two external compounds yielding rather highly accurate prediction of their biodegradability and toxicity.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo

Napomena
Ovaj rad je izrađen u sklopu projekta „Modeliranje okolišnih aspekata napredne obrade voda za razgradnju prioritetnih onečišćivala“ Hrvatske zaklade za znanost na Fakultetu kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu.



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


Citiraj ovu publikaciju:

Đermadi, Jasna; Juretić Perišić, Daria; Novak Stankov, Mirjana; Kušić, Hrvoje; Ukić, Šime; Bolanča, Tomislav; Lončarić Božić, Ana
Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling // -
Honolulu (HI), Sjedinjene Američke Države, 2015. str. - (poster, međunarodna recenzija, sažetak, znanstveni)
Đermadi, J., Juretić Perišić, D., Novak Stankov, M., Kušić, H., Ukić, Š., Bolanča, T. & Lončarić Božić, A. (2015) Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling. U: -.
@article{article, author = {\DJermadi, Jasna and Jureti\'{c} Peri\v{s}i\'{c}, Daria and Novak Stankov, Mirjana and Ku\v{s}i\'{c}, Hrvoje and Uki\'{c}, \v{S}ime and Bolan\v{c}a, Tomislav and Lon\v{c}ari\'{c} Bo\v{z}i\'{c}, Ana}, year = {2015}, pages = {---}, keywords = {aromatics, biodegradability, toxicity, structural-relationship modeling, structure-activity relationship}, title = {Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling}, keyword = {aromatics, biodegradability, toxicity, structural-relationship modeling, structure-activity relationship}, publisherplace = {Honolulu (HI), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {\DJermadi, Jasna and Jureti\'{c} Peri\v{s}i\'{c}, Daria and Novak Stankov, Mirjana and Ku\v{s}i\'{c}, Hrvoje and Uki\'{c}, \v{S}ime and Bolan\v{c}a, Tomislav and Lon\v{c}ari\'{c} Bo\v{z}i\'{c}, Ana}, year = {2015}, pages = {---}, keywords = {aromatics, biodegradability, toxicity, structural-relationship modeling, structure-activity relationship}, title = {Prediction of biodegradability and toxicity of aromatics in water using QSAR modeling}, keyword = {aromatics, biodegradability, toxicity, structural-relationship modeling, structure-activity relationship}, publisherplace = {Honolulu (HI), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




Contrast
Increase Font
Decrease Font
Dyslexic Font