Amorphous/Crystalline Urchin‐Like TiO2 SERS Platform for Selective Recognition and Efficient Identification of Glutathione

IF 13 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Small Pub Date : 2025-01-11 DOI:10.1002/smll.202409400
Xiaoyu Song, Lei Xu, Longsong Li, Xiangyu Meng, Yuening Wang, Lin Qiu, Yue Hu, Mingjian Zhang, Lingchao Xiang, Guangcheng Xi, Aiguo Wu, Xiaotian Wang, Jie Lin
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Abstract

Glutathione serves as a common biomarkers in tumor diagnosis and treatment. The levels of its intracellular concentration permit detailed investigation of the tumor microenvironment. However, low polarization and weak Raman scattering cross‐section make direct and indirect Raman detection challenging. This study designs an amorphous‐crystalline urchin‐like TiO2 (AC‐UL‐TiO2) for the accurate identification of GSH and GSSG. By synergistically regulating the crystalline core and amorphous shell, the bandgap structure is optimized, thereby enhancing charge transfer efficiency. AC‐UL‐TiO2 demonstrates excellent SERS performance in detecting dye molecules with good selectivity for mixed analytes. The enhancement factor (EF) for R6G is 6.89 × 106, and the limit of detection (LOD) is 10−10 M. A SERS‐colorimetric dual‐modality platform is developed based on the AC‐UL‐TiO2@DTNB system to accurately monitor GSH concentrations from 0 to 1000 µM, providing a robust dual‐confirmation result. Importantly, combined with the principal component analysis method, the AC‐UL‐TiO2 SERS platform can directly distinguish GSH and GSSG molecules. Besides, direct SERS detection LOD for GSH and GSSG are 10−8 M, which is 100 times higher than that of indirect detection. These findings indicate that AC‐UL‐TiO2 holds potential for biomarkers trace detection in tumor microenvironments.
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用于谷胱甘肽选择性识别和高效鉴定的无定形/晶体海胆样TiO2 SERS平台
谷胱甘肽是肿瘤诊断和治疗中常见的生物标志物。其细胞内浓度水平允许对肿瘤微环境进行详细研究。然而,低极化和弱拉曼散射截面使得直接和间接拉曼检测具有挑战性。本研究设计了一种无定形海胆状TiO2 (AC‐UL‐TiO2),用于准确鉴定GSH和GSSG。通过协同调节晶核和非晶壳,优化带隙结构,从而提高电荷转移效率。AC‐UL‐TiO2在检测染料分子方面表现出优异的SERS性能,对混合分析物具有良好的选择性。R6G的增强因子(EF)为6.89 × 106,检测限(LOD)为10−10 M,基于AC‐UL‐TiO2@DTNB系统开发了SERS -比色双模态平台,可准确监测0 ~ 1000 μ M的GSH浓度,提供可靠的双确认结果。重要的是,结合主成分分析方法,AC‐UL‐TiO2 SERS平台可以直接区分GSH和GSSG分子。直接SERS检测GSH和GSSG的LOD为10 ~ 8 M,是间接检测LOD的100倍。这些发现表明AC‐UL‐TiO2具有在肿瘤微环境中痕量检测生物标志物的潜力。
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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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