| Title |
Molecular Insights into the pH-Dependent Adsorption and Removal of Ionizable Antibiotic Oxytetracycline by Adsorbent Cyclodextrin Polymers
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0086228 |
| Pubmed ID | |
| Authors |
Yu Zhang, Xiyun Cai, Weina Xiong, Hao Jiang, Haitong Zhao, Xianhai Yang, Chao Li, Zhiqiang Fu, Jingwen Chen |
| Abstract |
Effects of pH on adsorption and removal efficiency of ionizable organic compounds (IOCs) by environmental adsorbents are an area of debate, because of its dual mediation towards adsorbents and adsorbate. Here, we probe the pH-dependent adsorption of ionizable antibiotic oxytetracycline (comprising OTCH2 (+), OTCH(±), OTC(-), and OTC(2-)) onto cyclodextrin polymers (CDPs) with the nature of molecular recognition and pH inertness. OTCH(±) commonly has high adsorption affinity, OTC(-) exhibits moderate affinity, and the other two species have negligible affinity. These species are evidenced to selectively interact with structural units (e.g., CD cavity, pore channel, and network) of the polymers and thus immobilized onto the adsorbents to different extents. The differences in adsorption affinity and mechanisms of the species account for the pH-dependent adsorption of OTC. The mathematical equations are derived from the multiple linear regression (MLR) analysis of quantitatively relating adsorption affinity of OTC at varying pH to adsorbent properties. A combination of the MLR analysis for OTC and molecular recognition of adsorption of the species illustrates the nature of the pH-dependent adsorption of OTC. Based on this finding, γ-HP-CDP is chosen to adsorb and remove OTC at pH 5.0 and 7.0, showing high removal efficiency and strong resistance to the interference of coexisting components. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Student > Master | 9 | 23% |
| Lecturer | 2 | 5% |
| Unspecified | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 28% |
| Environmental Science | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 8% |
| Materials Science | 3 | 8% |
| Unspecified | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 11 | 28% |