4.7 Article

A novel bacterial imprinted polymers- electrochemiluminescent sensor for Lactobacillus salivarius detection

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 358, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2022.131467

关键词

Lactobacillus; ECL sensor; Bacterial imprinted polymers; Dopamine; Rapid detection

资金

  1. Science and Technology Develop-ment Project of Jilin Province [YDZJ202101ZYTS080]

向作者/读者索取更多资源

In this study, a novel ECL sensor based on bacterial imprinted polymers (BIP) technology was developed for the rapid detection of intestinal probiotics. The sensor exhibited improved analytical performance for bacteria detection and remarkable specific identification of bacterial serotypes.
The abundance of intestinal probiotics including Lactobacillus salivarius is an indictor to reflect the human health condition. Electrochemiluminescence (ECL) has shown extraordinary potential in bioanalysis due to its fast response. Herein, we developed a novel ECL sensor for rapid probiotics detection based on the bacterial imprinted polymers (BIP) technology. Through the different electropolymerization processes of dopamine, the BIP-ECL sensor was constructed with two functional parts, including ECL luminous layer and BIP nanostructure layer. The first polydopamine (PDA) luminous layer was served as the ECL emitter, which can react with the co reactants of H2O2. The BIP nanostructure layer was prepared via dopamine electropolymerization by in situ removal of the bacterial templates. The BIP-ECL sensor dramatically improved the analytical performance for the bacteria detection. As a result, a limit of quantitation (LOQ) low to 10(1) CFU mL(-1) was achieved with a linear range from 10(1) CFU mL(-1) to 10(7) CFU mL(-1). Moreover, the sensor displayed remarkable specific identification of bacterial serotypes. The new BIP-ECL sensing strategy provides a universal approach for selective and rapid detection of bacteria.

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

4.7
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