Suppr超能文献

利用表面等离子体共振生物传感器中的分子印迹聚合物对皮肤中分泌的细菌因子进行体内检测和绝对定量,以提高诊断能力。

In Vivo Detection and Absolute Quantification of a Secreted Bacterial Factor from Skin Using Molecularly Imprinted Polymers in a Surface Plasmon Resonance Biosensor for Improved Diagnostic Abilities.

出版信息

ACS Sens. 2019 Mar 22;4(3):717-725. doi: 10.1021/acssensors.8b01642. Epub 2019 Feb 27.

Abstract

In this study, a surface plasmon resonance (SPR) biosensor was developed for the detection and quantification of a secreted bacterial factor (RoxP) from skin. A molecular imprinting method was used for the preparation of sensor chips and five different monomer-cross-linker compositions were evaluated for sensitivity, selectivity, affinity, and kinetic measurements. The most promising molecularly imprinted polymer (MIP) was characterized by using scanning electron microscopy, atomic force microscopy, and cyclic voltammetry. Limit of detection (LOD) value was calculated as 0.23 nM with an affinity constant of 3.3 × 10 M for the promising MIP. Besides being highly sensitive, the developed system was also very selective for the template protein RoxP, proven by the calculated selectivity coefficients. Finally, absolute concentrations of RoxP in several skin swabs were analyzed by using the developed MIP-SPR biosensor and compared to a competitive ELISA. Consequently, the developed system offers a very efficient tool for the detection and quantification of RoxP as an early indicator for some oxidative skin diseases especially when they are present in low-abundance levels (e.g., skin samples).

摘要

在这项研究中,开发了一种表面等离子体共振(SPR)生物传感器,用于检测和定量皮肤分泌的一种细菌因子(RoxP)。采用分子印迹法制备传感器芯片,并评估了五种不同的单体-交联剂组合的灵敏度、选择性、亲和力和动力学测量。最有前途的分子印迹聚合物(MIP)通过扫描电子显微镜、原子力显微镜和循环伏安法进行了表征。对于有前途的 MIP,检测限(LOD)值计算为 0.23 nM,亲和常数为 3.3×10 M。除了具有高灵敏度外,所开发的系统对模板蛋白 RoxP 也具有很高的选择性,这可以通过计算的选择性系数来证明。最后,通过开发的 MIP-SPR 生物传感器分析了几个皮肤拭子中的 RoxP 绝对浓度,并与竞争性 ELISA 进行了比较。因此,该系统为 RoxP 的检测和定量提供了一种非常有效的工具,可作为某些氧化皮肤疾病的早期指标,特别是当它们以低丰度水平存在时(例如,皮肤样本)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验