Examination and research development of new catalysts for removing pharmaceuticals from water
新型水中药物去除催化剂的检验与研究进展
基本信息
- 批准号:518973-2017
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The presence of pharmaceuticals and endocrine disrupting compounds (EDCs) in natural waters has raisedincreasing concern due to their frequent appearance and persistence in aquatic ecosystem and the threat tohealth and safety of aquatic life, even at trace concentrations. Conventional water treatment processes areknown to be generally inadequate for the elimination of these persistent contaminants. Studies havedemonstrated that about 64% of EDCs are removed by less than 50% while 9% are not removed at all byconventional biological treatment processes. Therefore, the development of efficient and sustainable removalmethods for these emerging contaminants is essential. TiO2 is the most widely used photocatalyst for removalof organic contaminants from water. However, the higher efficiencies of ZnO compared to TiO2 forelimination of organic contaminant has been reported in several studies. Photocatalytic removal of EDCs byusing zinc oxide photocatalyst (ZnO) is a promising process due to the unique characteristics of thisphotocatalyst such as wide band gap, non-toxicity and low cost. Recently, a considerable effort has been madeto improve the photocatalytic performance of ZnO by doping with elements and narrowing band gap in order tobe activated under visible light irradiation. However, any effort to narrow the band gap of semiconductors leadsto the reduction of redox potential, as well as the efficiencies of elimination and mineralization. As analternative strategy, surface modification is considered for enhancing the efficiency of adsorption andphotocatalytic oxidation in this research. It is expected that surface fluorination of ZnO also enhances thephotocatalytic degradation of emerging contaminants. Through building a partnership with the DaguaTechnology Inc., this research is attempting to synthesize a dual functional hierarchical adsorbent/photocatalystwith high surface area and stability for removing EDCs from water with low energy consumption. For thispurpose, a tubular photoreactor will be designed in this study to perform experiments for elimination andmineralization of sulfamethoxazole as widely detected antibiotic in water, under extremely
天然沃茨中药物和内分泌干扰物(EDCs)的存在日益引起人们的关注,因为它们在水生态系统中的频繁出现和持久存在,甚至在痕量浓度下都对水生生物的健康和安全构成威胁。传统的水处理工艺通常不足以消除这些持久性污染物。研究表明,常规生物处理工艺对64%的内分泌干扰物的去除率低于50%,而9%的内分泌干扰物完全不能去除。因此,开发有效和可持续的去除这些新兴污染物的方法至关重要。TiO 2是去除水中有机污染物应用最广泛的光催化剂。然而,在几项研究中已经报道了ZnO比TiO 2更高的去除有机污染物的效率。氧化锌(ZnO)光催化剂具有宽禁带、无毒、低成本等特点,是一种很有前途的光催化去除内分泌干扰物的方法。近年来,人们对ZnO进行了大量的研究,试图通过掺杂元素和缩小禁带宽度来提高ZnO的光催化性能,使其在可见光照射下被激活。然而,任何缩小半导体带隙的努力都会导致氧化还原电位的降低,以及消除和矿化效率的降低。作为一种替代策略,表面改性被认为是提高吸附和光催化氧化的效率在本研究中。预计ZnO的表面改性也会增强新兴污染物的光催化降解。通过与达瓜科技公司建立伙伴关系,本研究试图合成一种具有高比表面积和稳定性的双功能分级吸附剂/光催化剂,以低能耗去除水中的内分泌干扰物。为此,本研究设计了一种管式光反应器,在极端光照条件下,对水体中广泛存在的抗生素磺胺甲恶唑进行了去除和矿化实验。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chen, Zhi其他文献
Soy food intake and breast cancer survival.
- DOI:
10.1001/jama.2009.1783 - 发表时间:
2009-12-09 - 期刊:
- 影响因子:120.7
- 作者:
Shu, Xiao Ou;Zheng, Ying;Cai, Hui;Gu, Kai;Chen, Zhi;Zheng, Wei;Lu, Wei - 通讯作者:
Lu, Wei
Downregulation of miR-199a-3p mediated by the CtBP2-HDAC1-FOXP3 transcriptional complex contributes to acute lung injury by targeting NLRP1
CtBP2-HDAC1-FOXP3 转录复合物介导的 miR-199a-3p 下调通过靶向 NLRP1 导致急性肺损伤
- DOI:
10.7150/ijbs.37133 - 发表时间:
2019-01-01 - 期刊:
- 影响因子:9.2
- 作者:
Chen, Zhi;Dong, Wei-Hua;Qiu, Zhong-Min - 通讯作者:
Qiu, Zhong-Min
CRISPR-Cas13a-powered electrochemical biosensor for the detection of the L452R mutation in clinical samples of SARS-CoV-2 variants.
- DOI:
10.1186/s12951-023-01903-5 - 发表时间:
2023-04-29 - 期刊:
- 影响因子:10.2
- 作者:
Chen, Zhi;Wu, Chenshuo;Yuan, Yuxuan;Xie, Zhongjian;Li, Tianzhong;Huang, Hao;Li, Shuang;Deng, Jiefeng;Lin, Huiling;Shi, Zhe;Li, Chaozhou;Hao, Yabin;Tang, Yuxuan;You, Yuehua;Al-Hartomy, Omar A.;Wageh, Swelm;Al-Sehemi, Abdullah G.;Lu, Ruitao;Zhang, Ling;Lin, Xuechun;He, Yaqing;Zhao, Guojun;Li, Defa;Zhang, Han - 通讯作者:
Zhang, Han
Concept whitening for interpretable image recognition
- DOI:
10.1038/s42256-020-00265-z - 发表时间:
2020-12-01 - 期刊:
- 影响因子:23.8
- 作者:
Chen, Zhi;Bei, Yijie;Rudin, Cynthia - 通讯作者:
Rudin, Cynthia
miR-497 Regulates LATS1 through the PPARG Pathway to Participate in Fatty Acid Synthesis in Bovine Mammary Epithelial Cells.
- DOI:
10.3390/genes14061224 - 发表时间:
2023-06-05 - 期刊:
- 影响因子:3.5
- 作者:
Chu, Shuangfeng;Yang, Yi;Nazar, Mudasir;Chen, Zhi;Yang, Zhangping - 通讯作者:
Yang, Zhangping
Chen, Zhi的其他文献
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{{ truncateString('Chen, Zhi', 18)}}的其他基金
Big Data Supported Strategic Advancement in Model-Based Environmental Assessment and Management
大数据支持基于模型的环境评估和管理的战略推进
- 批准号:
RGPIN-2018-05019 - 财政年份:2022
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Big Data Supported Strategic Advancement in Model-Based Environmental Assessment and Management
大数据支持基于模型的环境评估和管理的战略推进
- 批准号:
RGPIN-2018-05019 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Big Data Supported Strategic Advancement in Model-Based Environmental Assessment and Management
大数据支持基于模型的环境评估和管理的战略推进
- 批准号:
RGPIN-2018-05019 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Big Data Supported Strategic Advancement in Model-Based Environmental Assessment and Management
大数据支持基于模型的环境评估和管理的战略推进
- 批准号:
RGPIN-2018-05019 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Big Data Supported Strategic Advancement in Model-Based Environmental Assessment and Management
大数据支持基于模型的环境评估和管理的战略推进
- 批准号:
RGPIN-2018-05019 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Examination and Research Development of IoT-Based Air Quality Monitoring and Assessment Technology**
基于物联网的空气质量监测与评估技术检验与研究进展**
- 批准号:
537501-2018 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Big Data and Model Supported Environmental Decision Making under Uncertainty
大数据和模型支持不确定性下的环境决策
- 批准号:
RGPIN-2017-06960 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Location-based modeling and management of critical contaminant risks through a Spatial Decision Support System Approach
通过空间决策支持系统方法对关键污染物风险进行基于位置的建模和管理
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240036-2012 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Development of a transportable soil remediation system
开发可移动土壤修复系统
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507558-2016 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
Location-based modeling and management of critical contaminant risks through a Spatial Decision Support System Approach
通过空间决策支持系统方法对关键污染物风险进行基于位置的建模和管理
- 批准号:
240036-2012 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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