Xiaoyu Song , Xinghua Liu , Lei Xu , Aochi Liu , Xiangyu Meng , Yuening Wang , Mingjian Zhang , Guangcheng Xi , Jie Lin , Xiaotian Wang , Gengchen Xie
{"title":"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","authors":"Xiaoyu Song , Xinghua Liu , Lei Xu , Aochi Liu , Xiangyu Meng , Yuening Wang , Mingjian Zhang , Guangcheng Xi , Jie Lin , Xiaotian Wang , Gengchen Xie","doi":"10.1016/j.cjsc.2025.100848","DOIUrl":null,"url":null,"abstract":"<div><div>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 (MoO<sub>3</sub><sub>−</sub><sub><em>x</em></sub> 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 × 10<sup>7</sup> for rhodamine 6G, achieves a LOD of 10<sup>−11</sup> 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.</div></div>","PeriodicalId":10151,"journal":{"name":"结构化学","volume":"45 4","pages":"Article 100848"},"PeriodicalIF":10.3000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sub-nanoscale oxygen-defect-rich MoO3−x: A versatile platform for label-free ultrasensitive SERS biodetection\",\"authors\":\"Xiaoyu Song , Xinghua Liu , Lei Xu , Aochi Liu , Xiangyu Meng , Yuening Wang , Mingjian Zhang , Guangcheng Xi , Jie Lin , Xiaotian Wang , Gengchen Xie\",\"doi\":\"10.1016/j.cjsc.2025.100848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (MoO<sub>3</sub><sub>−</sub><sub><em>x</em></sub> 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 × 10<sup>7</sup> for rhodamine 6G, achieves a LOD of 10<sup>−11</sup> 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.</div></div>\",\"PeriodicalId\":10151,\"journal\":{\"name\":\"结构化学\",\"volume\":\"45 4\",\"pages\":\"Article 100848\"},\"PeriodicalIF\":10.3000,\"publicationDate\":\"2026-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"结构化学\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0254586125003381\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/12/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, INORGANIC & NUCLEAR\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"结构化学","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0254586125003381","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, INORGANIC & NUCLEAR","Score":null,"Total":0}
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 (MoO3−x 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.
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.