亚纳米级富氧缺陷MoO3−x:无标记超灵敏SERS生物检测的多功能平台

IF 10.3 4区 化学 Q1 CHEMISTRY, INORGANIC & NUCLEAR
结构化学 Pub Date : 2026-04-01 Epub Date: 2025-12-19 DOI:10.1016/j.cjsc.2025.100848
Xiaoyu Song , Xinghua Liu , Lei Xu , Aochi Liu , Xiangyu Meng , Yuening Wang , Mingjian Zhang , Guangcheng Xi , Jie Lin , Xiaotian Wang , Gengchen Xie
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引用次数: 0

摘要

虽然表面增强拉曼散射(SERS)技术已广泛应用于环境污染物监测和早期癌症诊断等领域,但设计通用衬底以实现多场景的高灵敏度检测仍然是一个迫切需要解决的问题。在本研究中,采用一种创新的缺陷工程策略,成功地开发了基于高氧空位(Vo)浓度的氧化钼亚纳米线(MoO3−x Sub-NWs)的SERS衬底。该衬底独特地结合了Vo诱导的梯度缺陷态和一维亚纳米结构产生的量子约束效应,从而实现了化学增强和电磁增强的协同作用。实验结果表明,该底物对罗丹明6G的增强因子高达7.8 × 107,对甲基橙等染料的LOD达到10−11 M,能够有效检测多氯苯酚、多环芳烃和聚苯乙烯微球等各种环境污染物。在生物医学应用方面,基于PCA-LDA模型,该方法对肝癌细胞(HepG2)、食管癌细胞(TE-1)和白细胞(WBC)的三类分类准确率为92.22%,对食管癌亚型(TE-1和KYSE)的分类准确率为90%,ROC曲线AUC值为0.97。本研究为高性能通用SERS底物的开发提供了新的范例,在环境监测和非侵入性肿瘤诊断领域具有重要的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sub-nanoscale oxygen-defect-rich MoO3−x: A versatile platform for label-free ultrasensitive SERS biodetection

Sub-nanoscale oxygen-defect-rich MoO3−x: A versatile platform for label-free ultrasensitive SERS biodetection
Although surface-enhanced Raman scattering (SERS) technology has been widely applied in fields such as environmental pollutant monitoring and early cancer diagnosis, the design of universal substrates to enable high-sensitivity detection across multiple scenarios remains a pressing problem to be solved. In this study, an innovative defect engineering strategy was employed to successfully develop a SERS substrate based on molybdenum oxide sub-nanowires (MoO3x Sub-NWs) with a high oxygen vacancy (Vo) concentration. This substrate uniquely combines the gradient defect states induced by Vo and the quantum confinement effect generated by the one-dimensional sub-nanostructure, thereby achieving the synergy of chemical enhancement and electromagnetic enhancement. Experimental results demonstrate that the substrate exhibits an enhancement factor as high as 7.8 × 107 for rhodamine 6G, achieves a LOD of 10−11 M for dyes such as methyl orange, and enables effective detection of various environmental pollutants including polychlorinated phenols, polycyclic aromatic hydrocarbons, and polystyrene microspheres. In terms of biomedical applications, based on the PCA-LDA model, the method achieves a three-category classification accuracy of 92.22% for hepatocellular carcinoma cells (HepG2), esophageal cancer cells (TE-1), and white blood cells (WBC), a discrimination accuracy of 90% for esophageal cancer subtypes (TE-1 and KYSE), and an ROC curve AUC value of 0.97. This study provides a new paradigm for the development of high-performance universal SERS substrates and possesses significant application value in the fields of environmental monitoring and non-invasive tumor diagnosis.
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来源期刊
结构化学
结构化学 化学-晶体学
CiteScore
4.70
自引率
22.70%
发文量
5334
审稿时长
13 days
期刊介绍: Chinese Journal of Structural Chemistry “JIEGOU HUAXUE ”, an academic journal consisting of reviews, articles, communications and notes, provides a forum for the reporting and discussion of current novel research achievements in the fields of structural chemistry, crystallography, spectroscopy, quantum chemistry, pharmaceutical chemistry, biochemistry, material science, etc. Structural Chemistry has been indexed by SCI, CA, and some other prestigious publications.
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