4.6 Article

Mass Transfer Kinetics and Mechanisms of Phosphate Adsorbed on Waste Mussel Shell

期刊

WATER AIR AND SOIL POLLUTION
卷 233, 期 6, 页码 -

出版社

SPRINGER INT PUBL AG
DOI: 10.1007/s11270-022-05693-8

关键词

Adsorption kinetics; DWTPE; HPFCR; Mass transfer resistance; Phosphate removal

资金

  1. Ministry of Education (MOE) Malaysia through Fundamental Research Grant Scheme [FRGS/1/2017/TK10/UTM/02/9]
  2. Government of Malaysia
  3. Ministry of Science, Technology and Innovation (MOSTI) Malaysia [L00022]

向作者/读者索取更多资源

Investigating the adsorption kinetics of phosphate removal using waste mussel shell can enhance the performance of wastewater treatment plants.
An excessive amount of phosphate (PO43-) released from domestic wastewater treatment plant effluent (DWTPE) may trigger eutrophication of water causing a degradation of healthy aquatic ecosystem. Even though the PO43- ions can be removed from aqueous solution with an adsorption technique using the low-cost adsorbent, the adsorption kinetics of PO43- removal must be understood. The bed depth service time (BDST), Thomas and modified mass transfer factor (MMTF) models were used to investigate the adsorption kinetics of PO43- removed from DWTPE onto the waste mussel shell (WMS) applied to hybrid plug flow column reactor (HPFCR). Dynamic adsorption capacity of WMS described by the new modified BDST model is shown to increase with increasing of the plug flow column (PFC) bed. The analysis of mass transfer behavior described using the Thomas model is able to predict the performance of HPFCR at certain depths of the PFC bed. The use of the MMTF models could be useful to describe the real difference between the behaviors of film mass transfer and porous diffusion. The resistance of PO43- mass transfer depending on porous diffusion has been verified to provide a contribution in the development of advanced WMS adsorbent for enhancing the HPFCR performance in the future.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据