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Pregled bibliografske jedinice broj: 1217631

Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO


Rezić, Iva; Kracher, Daniel; Oros, Damir; Mujadžić, Sven; Anđelini, Magdalena; Kurtanjek, Želimir; Roland, Ludwig; Tonči, Rezić;
Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO // Molecules, 27 (2022), 1, 14 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1217631 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO

Autori
Rezić, Iva ; Kracher, Daniel ; Oros, Damir ; Mujadžić, Sven ; Anđelini, Magdalena ; Kurtanjek, Želimir ; Roland, Ludwig ; Tonči, Rezić ;

Izvornik
Molecules (1420-3049) 27 (2022); 1, 14

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
causality model ; degradation ; Lytic polysaccharide monooxygenase ; textile dyes

Sažetak
The textile industry is one of the largest water-polluting industries in the world. Due to an increased application of chromophores and a more frequent presence in wastewaters, the need for an ecologically favorable dye degradation process emerged. To predict the decolorization rate of textile dyes with Lytic polysaccharide monooxygenase (LPMO), we developed, validated, and utilized the molecular descriptor structural causality model (SCM) based on the decision tree al-gorithm (DTM). Combining mathematical models and theories with decolorization experiments, we have elucidated the most important molecular properties of the dyes and confirm the accuracy of SCM model results. Besides the potential utilization of the developed model in the treatment of textile dye-containing wastewater, the model is a good base for the prediction of the molecular properties of the molecule. This is important for selecting chromophores as the reagents in determining LPMO activities. Dyes with azo- or triarylmethane groups are good candidates for colorimetric LPMO assays and the determination of LPMO activity. An adequate methodology for the LPMO activity determination is an important step in the characterization of LPMO properties. Therefore, the SCM/DTM model validated with the 59 dyes molecules is a powerful tool in the selection of adequate chromophores as reagents in the LPMO activity determination and it could reduce experimentation in the screening experiments.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo, Tekstilna tehnologija, Interdisciplinarne tehničke znanosti, Biotehnologija



POVEZANOST RADA


Projekti:
HRZZ-IP-2019-04-1381 - Antibakterijska prevlaka za biorazgradive medicinske materijale (ABBAMEDICA) (Rezić, Iva, HRZZ - 2019-04) ( CroRIS)

Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb,
Tekstilno-tehnološki fakultet, Zagreb

Profili:

Avatar Url Iva Rezić (autor)

Avatar Url Tonči Rezić (autor)

Avatar Url Magdalena Anđelini (autor)

Avatar Url Želimir Kurtanjek (autor)

Avatar Url Damir Oros (autor)


Citiraj ovu publikaciju:

Rezić, Iva; Kracher, Daniel; Oros, Damir; Mujadžić, Sven; Anđelini, Magdalena; Kurtanjek, Želimir; Roland, Ludwig; Tonči, Rezić;
Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO // Molecules, 27 (2022), 1, 14 (međunarodna recenzija, članak, znanstveni)
Rezić, I., Kracher, D., Oros, D., Mujadžić, S., Anđelini, M., Kurtanjek, Ž., Roland, L., Tonči, R. & (2022) Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO. Molecules, 27, 1, 14.
@article{article, author = {Rezi\'{c}, Iva and Kracher, Daniel and Oros, Damir and Mujad\v{z}i\'{c}, Sven and An\djelini, Magdalena and Kurtanjek, \v{Z}elimir and Roland, Ludwig and Ton\v{c}i, Rezi\'{c}}, year = {2022}, pages = {14}, chapter = {1}, keywords = {causality model, degradation, Lytic polysaccharide monooxygenase, textile dyes}, journal = {Molecules}, volume = {27}, issn = {1420-3049}, title = {Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO}, keyword = {causality model, degradation, Lytic polysaccharide monooxygenase, textile dyes}, chapternumber = {1} }
@article{article, author = {Rezi\'{c}, Iva and Kracher, Daniel and Oros, Damir and Mujad\v{z}i\'{c}, Sven and An\djelini, Magdalena and Kurtanjek, \v{Z}elimir and Roland, Ludwig and Ton\v{c}i, Rezi\'{c}}, year = {2022}, pages = {14}, chapter = {1}, keywords = {causality model, degradation, Lytic polysaccharide monooxygenase, textile dyes}, journal = {Molecules}, volume = {27}, issn = {1420-3049}, title = {Application of Causality Modelling for Prediction of Molecular Properties for Textile Dyes Degradation by LPMO}, keyword = {causality model, degradation, Lytic polysaccharide monooxygenase, textile dyes}, chapternumber = {1} }

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





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