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

被引:0
|
作者
Song, Xiaoyu [1 ,2 ]
Xu, Lei [3 ]
Li, Longsong [4 ]
Meng, Xiangyu [1 ]
Wang, Yuening [1 ]
Qiu, Lin [5 ]
Hu, Yue [3 ]
Zhang, Mingjian [1 ]
Xiang, Lingchao [3 ]
Xi, Guangcheng [2 ]
Wu, Aiguo [3 ]
Wang, Xiaotian [1 ]
Lin, Jie [3 ]
机构
[1] Beihang Univ, Sch Chem, Beijing 100191, Peoples R China
[2] Chinese Acad Inspect & Quarantine, Key Lab Consumer Prod Qual Safety Inspect & Risk A, Beijing 100176, Peoples R China
[3] Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, CAS, Ningbo 315201, Peoples R China
[4] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Gastroenterol, Beijing 100853, Peoples R China
[5] Univ Sci & Technol Beijing, Sch Energy & Environm Engn, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
glutathione; photo-induced charge transfer (PICT); surface-enhanced Raman scattering; TiO2; urchin-like structure;
D O I
10.1002/smll.202409400
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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 x 10(6), 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 mu M, 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-TiO(2 )holds potential for biomarkers trace detection in tumor microenvironments.
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页数:9
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