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铁的多种价态增强了FeO纳米颗粒的表面增强拉曼散射(SERS)活性,并实现了有效的SERS-磁共振成像(MRI)双模态癌症成像。

Multiple valence states of Fe boosting SERS activity of FeO nanoparticles and enabling effective SERS-MRI bimodal cancer imaging.

作者信息

Lin Jie, Ma Xuehua, Li Anran, Akakuru Ozioma Udochukwu, Pan Chunshu, He Meng, Yao Chenyang, Ren Wenzhi, Li Yanying, Zhang Dinghu, Cao Yi, Chen Tianxiang, Wu Aiguo

机构信息

Cixi Institute of Biomedical Engineering, International Cooperation Base of Biomedical Materials Technology and Application, Chinese Academy of Science Key Laboratory of Magnetic Materials and Devices, Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, CAS, Ningbo 315201, China.

Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516000, China.

出版信息

Fundam Res. 2022 May 3;4(4):858-867. doi: 10.1016/j.fmre.2022.04.018. eCollection 2024 Jul.

DOI:10.1016/j.fmre.2022.04.018
PMID:39156566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11330100/
Abstract

Developing novel nanoparticle-based bioprobes utilized in clinical settings with imaging resolutions ranging from cell to tissue levels is a major challenge for tumor diagnosis and treatment. Herein, an optimized strategy for designing a FeO-based bioprobe for dual-modal cancer imaging based on surface-enhanced Raman scattering (SERS) and magnetic resonance imaging (MRI) is introduced. Excellent SERS activity of ultrasmall FeO nanoparticles (NPs) was discovered, and a 5 × 10 M limit of detection for crystal violet molecules was successfully obtained. The high-efficiency interfacial photon-induced charge transfer in FeO NPs was promoted by multiple electronic energy levels ascribed to the multiple valence states of Fe, which was observed using ultraviolet-visible diffuse reflectance spectroscopy. Density functional theory calculations were utilized to reveal that the narrow band gap and high electron density of states of ultrasmall FeO NPs significantly boosted the vibronic coupling resonances in the SERS system upon illumination. The subtypes of cancer cells were accurately recognized via high-resolution SERS imaging using the prepared FeO-based bioprobe with high sensitivity and good specificity. Notably, FeO-based bioprobes simultaneously exhibited -weighted MRI contrast enhancement with an active targeting capability for tumors . To the best of our knowledge, this is the first report on the use of pure semiconductor-based SERS-MRI dual-modal nanoprobes in tumor imaging and , which has been previously realized only using semiconductor-metal complex materials. The non-metallic materials with SERS-MRI dual-modal imaging established in this report are a promising cancer diagnostic platform, which not only showed excellent performance in early tumor diagnosis but also possesses great potential for image-guided tumor treatment.

摘要

开发在临床环境中使用的、成像分辨率从细胞水平到组织水平的新型基于纳米颗粒的生物探针是肿瘤诊断和治疗的一项重大挑战。在此,介绍了一种基于表面增强拉曼散射(SERS)和磁共振成像(MRI)设计用于双模态癌症成像的基于FeO的生物探针的优化策略。发现了超小FeO纳米颗粒(NPs)具有出色的SERS活性,并成功获得了对结晶紫分子5×10⁻⁶ M的检测限。通过归因于Fe的多个价态的多个电子能级促进了FeO NPs中的高效界面光子诱导电荷转移,这是使用紫外可见漫反射光谱观察到的。利用密度泛函理论计算揭示,超小FeO NPs的窄带隙和高电子态密度在光照下显著增强了SERS系统中的振动耦合共振。使用制备的具有高灵敏度和良好特异性的基于FeO的生物探针,通过高分辨率SERS成像准确识别癌细胞亚型。值得注意的是,基于FeO的生物探针同时表现出T2加权MRI对比度增强以及对肿瘤的主动靶向能力。据我们所知,这是首次报道在肿瘤成像中使用基于纯半导体的SERS-MRI双模态纳米探针,而此前仅使用半导体-金属复合材料才实现这一点。本报告中建立的具有SERS-MRI双模态成像的非金属材料是一个有前景的癌症诊断平台,其不仅在早期肿瘤诊断中表现出优异性能,而且在图像引导肿瘤治疗方面也具有巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/c163eb6e7512/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/621ef1820b98/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/2ac044605d03/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/fb50ea733931/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/3726078b011c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/139c88964b60/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/2c4dda6de3d2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/c163eb6e7512/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/621ef1820b98/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/2ac044605d03/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/fb50ea733931/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/3726078b011c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/139c88964b60/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/2c4dda6de3d2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ac9/11330100/c163eb6e7512/gr6.jpg

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