Suppr超能文献

密度泛函理论研究黄曲霉毒素 B1/M1 与金基底的相互作用。

Density Functional Theory Study on the Interaction between Aflatoxin B1/M1 and Gold Substrate.

机构信息

School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Langmuir. 2024 Jan 23;40(3):1804-1816. doi: 10.1021/acs.langmuir.3c03069. Epub 2024 Jan 6.

Abstract

Aflatoxin M1 (AFM1) and its precursor, Aflatoxin B1 (AFB1), are highly pathogenic and mutagenic substances, making the detection and sensing of AFB1/M1 a long-standing focus of researchers. Among various detection techniques, surface-enhanced Raman spectroscopy (SERS) is considered an ideal method for AFB1/M1 detection due to its ability not only to enhance characteristic frequencies but also to detect shifts in these frequencies with high repeatability. Therefore, we employed density functional theory in conjunction with surface-enhanced Raman spectroscopy to investigate the interaction between AFB1/M1 and a Au substrate in the context of the SERS effect for the first time. To predict the potential binding sites of AFB1/M1 and Au within the SERS effect, we performed calculations on the molecular electrostatic potential of AFB1/M1. Considering the crucial role of the binding energy in molecular docking studies, we computed the binding energy between two molecules interacting with Au at different binding sites. The molecular frontier orbitals and related chemical parameters of AFB1/M1 and "molecular-Au" complexes were computed to elucidate the alterations in AFB1/M1 molecules under the SERS effect. Subsequently, the theoretical Raman spectra of AFB1/M1 and the complexes were compared and analyzed, enabling determination of the adsorption conformation of AFB1/M1 on the gold surface based on SERS surface selection rules. These findings not only provide a deeper understanding of the interaction mechanism between molecules and substrates in the SERS effect but also offer theoretical support for developing novel aflatoxin SERS sensors.

摘要

黄曲霉毒素 M1(AFM1)及其前体黄曲霉毒素 B1(AFB1)是高致病性和致突变物质,使得 AFB1/M1 的检测和传感成为研究人员长期关注的焦点。在各种检测技术中,表面增强拉曼光谱(SERS)被认为是 AFB1/M1 检测的理想方法,因为它不仅能够增强特征频率,而且能够以高重复性检测这些频率的位移。因此,我们首次采用密度泛函理论结合表面增强拉曼光谱研究了 AFB1/M1 在 SERS 效应下与 Au 基底的相互作用。为了预测 AFB1/M1 和 Au 在 SERS 效应中的潜在结合位点,我们对 AFB1/M1 的分子静电势进行了计算。考虑到结合能在分子对接研究中的重要作用,我们计算了两个分子与 Au 在不同结合位点相互作用时的结合能。计算了 AFB1/M1 和“分子-Au”复合物的分子前线轨道和相关化学参数,以阐明 SERS 效应下 AFB1/M1 分子的变化。随后,比较和分析了 AFB1/M1 和复合物的理论拉曼光谱,根据 SERS 表面选择规则确定了 AFB1/M1 在金表面的吸附构象。这些发现不仅深入了解了 SERS 效应中分子和底物之间的相互作用机制,而且为开发新型黄曲霉毒素 SERS 传感器提供了理论支持。

相似文献

1
Density Functional Theory Study on the Interaction between Aflatoxin B1/M1 and Gold Substrate.
Langmuir. 2024 Jan 23;40(3):1804-1816. doi: 10.1021/acs.langmuir.3c03069. Epub 2024 Jan 6.
2
Ultrasensitive detection of aflatoxin B by SERS aptasensor based on exonuclease-assisted recycling amplification.
Biosens Bioelectron. 2017 Nov 15;97:59-64. doi: 10.1016/j.bios.2017.05.031. Epub 2017 May 17.
3
Highly sensitive SERS-based immunoassay of aflatoxin B1 using silica-encapsulated hollow gold nanoparticles.
J Hazard Mater. 2015 Mar 21;285:11-7. doi: 10.1016/j.jhazmat.2014.11.018. Epub 2014 Nov 17.
5
A large Raman scattering cross-section molecular embedded SERS aptasensor for ultrasensitive Aflatoxin B1 detection using CS-FeO for signal enrichment.
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Jan 15;189:147-153. doi: 10.1016/j.saa.2017.08.029. Epub 2017 Aug 10.
6
Ability of Lactobacillus plantarum MON03 to mitigate aflatoxins (B1 and M1) immunotoxicities in mice.
J Immunotoxicol. 2015 Jul-Sep;12(3):290-9. doi: 10.3109/1547691X.2014.973622. Epub 2014 Dec 2.
7
Pre etched Ag nanocluster as SERS substrate for the rapid quantification of AFB1 in peanut oil via DFT coupled multivariate calibration.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Oct 5;239:118411. doi: 10.1016/j.saa.2020.118411. Epub 2020 May 7.
8
SERS and MRS signals engineered dual-mode aptasensor for simultaneous distinguishment of aflatoxin subtypes.
J Hazard Mater. 2024 Jan 15;462:132810. doi: 10.1016/j.jhazmat.2023.132810. Epub 2023 Oct 20.

引用本文的文献

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