Suppr超能文献

一种自供电光学生物电化学适体传感器,使用 3D 碳氮化物和基于碳的金属有机骨架,用于牛奶和水中四环素的高灵敏度检测。

A self-powered photoelectrochemical aptasensor using 3D-carbon nitride and carbon-based metal-organic frameworks for high-sensitivity detection of tetracycline in milk and water.

机构信息

School of Emergency Management, School of the Environment and Safety Engineering, Jiangsu University, Zhenjiang, China.

School of Materials Science and Engineering, Jiangsu University, Zhenjiang, China.

出版信息

J Food Sci. 2024 Nov;89(11):8022-8035. doi: 10.1111/1750-3841.17398. Epub 2024 Sep 30.

Abstract

Antibiotic residues have become a significant challenge in food safety, threatening both ecosystem integrity and human health. To combat this problem, we developed an innovative photo-powered, self-powered aptasensor that employs a novel carbon-doped three-dimensional graphitic carbon nitride (3D-CN) combined with a metal-organic framework composed of N-doped copper(I) oxide-carbon (CuO@C) skeletons. The 3D-CN serves as the photoanode, offering stable photocurrent production due to its three-dimensional open framework structure. The N-doped CuO@C acts as the photocathode, providing oxidation protection for the metal core and enhancing light absorption due to its metal-organic framework structure. A key feature of our work is exploiting the Fermi level difference between the n-type photoanode and p-type photocathode, which facilitates faster migration of photogenerated electrons toward the photocathode, thereby enhancing the sensor's self-powered effect. Experimental results reveal that upon aptamer loading, the sensor can linearly detect tetracycline (TC) within a range of 0.5 pmol/L to 300 nmol/L, with a detection limit as low as 0.13 pmol/L. It also demonstrates excellent selectivity, stability, and reproducibility, making it applicable to real samples such as milk and river water. Consequently, our research provides a highly efficient and sensitive method for monitoring TC in food, with significant practical implications and profound impacts on food safety.

摘要

抗生素残留已成为食品安全的重大挑战,威胁着生态系统的完整性和人类的健康。为了解决这个问题,我们开发了一种创新的光驱动、自供电适体传感器,该传感器采用了一种新型的碳掺杂三维石墨相氮化碳(3D-CN)与金属-有机骨架结合,该骨架由氮掺杂的氧化亚铜(CuO@C)骨架组成。3D-CN 作为光阳极,由于其三维开放式框架结构,提供了稳定的光电流产生。N 掺杂的 CuO@C 作为光阴极,为金属核心提供氧化保护,并由于其金属-有机骨架结构增强了光吸收。我们工作的一个特点是利用 n 型光阳极和 p 型光阴极之间的费米能级差,这促进了光生电子更快地向光阴极迁移,从而增强了传感器的自供电效果。实验结果表明,在适配体加载后,该传感器可以在 0.5 pmol/L 至 300 nmol/L 的范围内线性检测四环素(TC),检测限低至 0.13 pmol/L。它还表现出优异的选择性、稳定性和重现性,使其适用于牛奶和河水等实际样品。因此,我们的研究为监测食品中的 TC 提供了一种高效、灵敏的方法,具有重要的实际意义和对食品安全的深远影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验