Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohsen Mobarekeh Nourouzi"'
Autor:
Zainab Ngaini, Rafeah Wahi, Thomas Shean Yaw Choong, Mohsen Mobarekeh Nourouzi, Luqman Abdullah Chuah
Publikováno v:
Journal of Environmental Chemical Engineering. 2:324-331
Sago or Metroxylon sagu, harvested in Sarawak, Malaysia, is a low-cost, natural adsorbent. The sago bark (SB) from M. sagu was investigated for adsorptive removal of emulsified oil in palm oil mill effluent (POME). Hydrophobicity of this sorbent in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::319de3d64cf8ef88cf6e109da28c9b8f
https://doi.org/10.1016/j.jece.2013.12.010
https://doi.org/10.1016/j.jece.2013.12.010
Autor:
Mohsen Mobarekeh Nourouzi, Intan Salwani Ahamad, Thomas Shean Yaw Choong, Yin Shin Koay, Luqman Chuah Abdullah
Publikováno v:
BioResources, Vol 9, Iss 1, Pp 66-85 (2013)
An attempt was made to chemically modify palm kernel shell (MPKS) to increase adsorption affinity towards Reactive Black 5 (RB5). Granulated palm kernel shell (PKS) was quaternized successfully by treating with N-(3-chloro-2-hydroxypropyl)trimethylam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82b3cde94d874e560352431be95db310
http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_09_1_66_Koay_Quaternized_Adsorbent_Palm_Oil
http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_09_1_66_Koay_Quaternized_Adsorbent_Palm_Oil
Autor:
Luqman Abdullah Chuah, Rafeah Wahi, Thomas Shean Yaw Choong, Zainab Ngaini, Mohsen Mobarekeh Nourouzi
Publikováno v:
Separation and Purification Technology. 113:51-63
The threat of oil pollution increases with the expansion of oil exploration and production activities, as well as the industrial growth around the world. The study on the treatment of oily wastewater is a critical issue to the environmental protectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655e52630e8aecf144e89c8c40e3dfba
https://doi.org/10.1016/j.seppur.2013.04.015
https://doi.org/10.1016/j.seppur.2013.04.015
Publikováno v:
Journal of Environmental Science and Health, Part B. 47:455-465
An artificial neural network (ANN) model was developed to simulate the biodegradation of herbicide glyphosate [2-(Phosphonomethylamino) acetic acid] in a solution with varying parameters pH, inoculum size and initial glyphosate concentration. The pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1275a96c287286a353fde7557907b10a
https://doi.org/10.1080/03601234.2012.663603
https://doi.org/10.1080/03601234.2012.663603