文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

2 项

设置提升方向
鱼塘水
MICROCHEMICAL JOURNAL · 2020 · IF 3.594

ZnO/CNT-COOHs based solid-state ECL sensor for tetracycline detection in fishpond water

Xueling Shan,Yuting Pan,Fanzhuo Dai,Xiaohui Chen,Wenchang Wang,Zhidong Chen

A sensitive electrochemiluminescence (ECL) sensor in solid-state for the detection of tetracycline (TET), based on carboxylated carbon nanotubes modified ZnO (CNT-COOHs/ZnO), was developed in this research. The ZnO, which worked as luminophore here, was an environment-friendly material. Resulted from its tremendously specific surface area, the loading amount of CNT-COOHs increased. The CNT-COOHs played a role of catalyzer to enhance the ECL intensity of CNT-COOHs/ZnO modified glass carbon electrode (GCE) in triethanolamine (TEOA) contained electrolyte. After adding TET in the solution, the ECL intensity significantly quenched. The ΔECL intensity showed a good correlation to the concentration of TET in the range of 1.0 × 10 –8 –1.0 × 10 –4  M and the detection limit achieved to 6.7 × 10 –9  M within a response time of 1.0 min. Furthermore, the proposed CNT-COOHs/ZnO based ECL sensor was applied for the detection of TET in fishpond water and exhibited a good accuracy. We believe our system supplied a potential platform for the detection of TET in real world.

研究领域: 分析化学 · 环境科学
✓ 已验证 DOI 高影响因子
查看原文 查看 PubMed
ANALYTICAL CHEMISTRY · 2017 · IF 6.32

Michael-Addition-Mediated Photonic Crystals Allow Pretreatment-Free and Label-Free Sensoring of Ciprofloxacin in Fish Farming Water

Yanqiu Song,Jialei Bai,Rong Zhang,Houluo He,Chao Li,Jiang Wang,Shuang Li,Yuan Peng,Baoan Ning,Minglin Wang,Zhixian Gao

Abuse of antibiotics results in a large number of antibiotics residues in the environment and even causes the problem of “super bacteria”. Therefore, it is crucial to develop a powerful analytic method to monitor antibiotics quickly and simply. Photonic crystal (PC), as a sensing material, has promising application prospects. Herein, we try to use PC to realize pretreatment-free and label-free detection of Ciprofloxacin (CF) through Michael addition reaction. The recognition process is carried out by the Michael addition reaction between the piperazine group of CF and the o-benzoquinone group on the PC. The monodisperse microspheres with o-benzoquinone groups are prepared by polymerization and oxidation and then stacked to form PC. During the detection, the peak intensity of the PC decreases with the increasing CF concentration, and the linear range is from 2 to 512 μg/L. The limit of detection (LOD) is 0.76 μg/L. Furthermore, the PC retains 97% of the initial response after storage in a Petri dish at room temperature for 1 month, which shows that it has good stability. Moreover, CF in fish farming water can be detected directly without any pretreatment and label, and the results are in good accordance with the LC-MS-MS results. This Michael-addition-mediated PC is accurate, easily prepared, cost-efficient, and long-term stable. In addition, it is environmentally friendly, because little organic solvent is needed during both the preparation and the detection.

CAS / MDL: 80-62-6 7727-21-1
研究领域: 环境科学 · 分析化学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。