用于有效表面增强拉曼散射检测的二维钼/锡硫属化物纳米结构的增强表面功能化

Enhanced surface functionalization of 2D molybdenum/tin chalcogenide nanostructures for effective SERS detection of .

作者信息

Ishfaq Zainab, Almutairi Layla A, Ali M Yasir, Alrefaee Salhah Hamed, Fahmy Mohamed Abdelsabour, Shokralla Elsammani Ali, Alharbe Lamiaa G, Ali Adnan, Ashfaq Arslan, Abd-Elwahed A R

机构信息

Department of Physics, Government College University Faisalabad 38000 Pakistan

Department of Biology, College of Science Princess Nourah bint Abdulrahman University P. O. Box 84428 Riyadh 11671 Saudi Arabia.

出版信息

RSC Adv. 2024 Nov 4;14(47):35021-35034. doi: 10.1039/d4ra05315j. eCollection 2024 Oct 29.

Abstract

Surface Enhanced Raman Spectroscopy (SERS) is a highly sensitive analytical technique used for fingerprint recognition of molecular samples. The SERS effect, which enhances Raman scattering signals, has been the subject of extensive research over the past few decades. More recently, the commercialization of portable Raman spectrometers has brought SERS closer to real-world applications. The aim of the study was to enhance their performance, properties, and biocompatibility for potential use as SERS substrates. The synthesis and characterization of MoS and SnS nanoparticles are described, along with the functionalization process using l-cysteine. The detection and identification of () bacteria using MoS and SnS as SERS substrates are also investigated. The results demonstrate the successful functionalization and characterization of the nanostructures, indicating their potential as SERS substrates. The abstract highlights the importance of developing cost-effective and environmentally friendly disposable analysis chips with high accuracy and specificity for practical SERS applications.

摘要

表面增强拉曼光谱(SERS)是一种用于分子样品指纹识别的高灵敏度分析技术。增强拉曼散射信号的SERS效应在过去几十年一直是广泛研究的主题。最近,便携式拉曼光谱仪的商业化使SERS更接近实际应用。该研究的目的是提高其作为SERS底物潜在用途的性能、特性和生物相容性。描述了MoS和SnS纳米颗粒的合成与表征,以及使用l-半胱氨酸的功能化过程。还研究了使用MoS和SnS作为SERS底物对()细菌的检测和鉴定。结果证明了纳米结构的成功功能化和表征,表明它们作为SERS底物的潜力。摘要强调了开发具有高精度和特异性的经济高效且环境友好的一次性分析芯片对于实际SERS应用的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87fa/11533536/671b4e93ee23/d4ra05315j-f1.jpg

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