Effective bioactive systems for nitrate removal from building materials
Апстракт
Bioactive system for reducing nitrate content in brick and limestone was developed using mineral poultice and aerobic denitrifier Pseudomonas stutzeri cells. The efficiency of the systems with P. stutzeri D1 was considerably higher compared with the reference strain for the both examined materials. After 9 days of application of the bioactive systems, the biocleaning efficiency was approximately 70% for both strains on the brick surface, while the efficiency in the depth was 72% and 95% using the reference strain and natural isolate, respectively. Artificial neural network efficiency prediction showed good prediction according to material layer depth, time, and bacteria type.
Кључне речи:
Pseudomonas stutzeri / Building materials / Bioremediation / Bioactive poultice / Aerobic denitrificationИзвор:
Construction and Building Materials, 2022, 338Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200134 (Универзитет у Новом Саду, Технолошки факултет) (RS-MESTD-inst-2020-200134)
- E! 13085
- 401-00-310/2021-09/2
DOI: 10.1016/j.conbuildmat.2022.127514
ISSN: 0950-0618
WoS: 000796580800001
Scopus: 2-s2.0-85129083013
Институција/група
Institut za opštu i fizičku hemijuTY - JOUR AU - Tomić, Ana AU - Vucetić, Snežana AU - Sovljanski, Olja AU - Pezo, Lato AU - Ranogajec, Jonjaua AU - Markov, Siniša PY - 2022 UR - https://riofh.iofh.bg.ac.rs/handle/123456789/915 AB - Bioactive system for reducing nitrate content in brick and limestone was developed using mineral poultice and aerobic denitrifier Pseudomonas stutzeri cells. The efficiency of the systems with P. stutzeri D1 was considerably higher compared with the reference strain for the both examined materials. After 9 days of application of the bioactive systems, the biocleaning efficiency was approximately 70% for both strains on the brick surface, while the efficiency in the depth was 72% and 95% using the reference strain and natural isolate, respectively. Artificial neural network efficiency prediction showed good prediction according to material layer depth, time, and bacteria type. T2 - Construction and Building Materials T1 - Effective bioactive systems for nitrate removal from building materials VL - 338 DO - 10.1016/j.conbuildmat.2022.127514 UR - conv_1007 ER -
@article{ author = "Tomić, Ana and Vucetić, Snežana and Sovljanski, Olja and Pezo, Lato and Ranogajec, Jonjaua and Markov, Siniša", year = "2022", abstract = "Bioactive system for reducing nitrate content in brick and limestone was developed using mineral poultice and aerobic denitrifier Pseudomonas stutzeri cells. The efficiency of the systems with P. stutzeri D1 was considerably higher compared with the reference strain for the both examined materials. After 9 days of application of the bioactive systems, the biocleaning efficiency was approximately 70% for both strains on the brick surface, while the efficiency in the depth was 72% and 95% using the reference strain and natural isolate, respectively. Artificial neural network efficiency prediction showed good prediction according to material layer depth, time, and bacteria type.", journal = "Construction and Building Materials", title = "Effective bioactive systems for nitrate removal from building materials", volume = "338", doi = "10.1016/j.conbuildmat.2022.127514", url = "conv_1007" }
Tomić, A., Vucetić, S., Sovljanski, O., Pezo, L., Ranogajec, J.,& Markov, S.. (2022). Effective bioactive systems for nitrate removal from building materials. in Construction and Building Materials, 338. https://doi.org/10.1016/j.conbuildmat.2022.127514 conv_1007
Tomić A, Vucetić S, Sovljanski O, Pezo L, Ranogajec J, Markov S. Effective bioactive systems for nitrate removal from building materials. in Construction and Building Materials. 2022;338. doi:10.1016/j.conbuildmat.2022.127514 conv_1007 .
Tomić, Ana, Vucetić, Snežana, Sovljanski, Olja, Pezo, Lato, Ranogajec, Jonjaua, Markov, Siniša, "Effective bioactive systems for nitrate removal from building materials" in Construction and Building Materials, 338 (2022), https://doi.org/10.1016/j.conbuildmat.2022.127514 ., conv_1007 .