4.6 Article

Carbohydrate-protein interaction-based detection of pathogenic bacteria using a biodegradable self-powered biosensor

期刊

JOURNAL OF MATERIALS CHEMISTRY B
卷 11, 期 42, 页码 10147-10157

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d3tb01820b

关键词

-

向作者/读者索取更多资源

This article introduces a biodegradable sensor system based on TENG, which can detect biological elements in remote areas. The sensor detects E. coli using a carbohydrate-protein interaction mechanism and monitors the output current to determine the bacterial concentration. The study also tests the degradability and long-term reliability of the sensor. Overall, this article is rated 8 out of 10.
Battery-free and biodegradable sensors can detect biological elements in remote areas. The triboelectric nanogenerator (TENG) can potentially eliminate the need for a battery by simply converting the abundant vibrations from nature or human motion into electricity. A biodegradable sensor system integrated with TENG to detect commonly found disease-causing bacteria (E. coli) in the environment is showcased herein. In this system, D-mannose functionalized 3D printed polylactic acid (PLA) with the brush-painted silver electrode was used to detect E. coli by a simple carbohydrate-protein interaction mechanism. The adsorption capacity of d-mannose is generally altered by varying the concentration of E. coli resulting in changes in resistance. Thus, the presented biosensor can detect bacterial concentrations by monitoring the output current. The PLA TENG generates an output of 70 V, 800 nA, and 22 nC, respectively. In addition, tap water and unpasteurized milk samples are tested for detecting bacteria, and the output is measured at 6 mu A and 5 mu A, respectively. Further, the biosensor was tested for biodegradability in soil compost by maintaining constant temperature and humidity. This study not only proposes an efficient and fast method for screening E. coli but also gives important insights into the ability to degrade and long-term reliability of TENG-based sensor platforms.

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