异质结
拉曼散射
材料科学
光电子学
半导体
光电效应
量子点
拉曼光谱
纳米技术
癌细胞
散射
癌症
胃肠道癌
量子
灵敏度(控制系统)
肿瘤细胞
载流子
鉴定(生物学)
循环肿瘤细胞
共轭体系
癌症研究
光电流
石墨烯
细胞培养
纳米结构
作者
Xiangyu Meng,Xinghua Liu,Aochi Liu,Ziyan Xu,Chenyang Gao,Jie Lin,Xiaotian Wang,Gengchen Xie
摘要
Accurate discrimination of gastric cancer cells (HGC‐27) and pancreatic cancer cells (QGP‐1) from normal white blood cells (WBCs) is crucial for early screening of gastrointestinal tumors. However, traditional methods suffer from low sensitivity and reliance on external labels, failing to achieve label‐free, rapid, and single‐cell identification. Surface‐enhanced Raman scattering (SERS) offers a powerful alternative for cancer cell identification due to its high sensitivity to molecular fingerprints. Herein, CuO quantum dots@amorphous CoOOH (CuO QDs@a‐CoOOH) heterostructures were fabricated through photoelectric reconstruction from Cu 2 O@Co(OH) precursors, serving as an efficient SERS platform for tumor cell detection. During reconstruction, the Cu 2 O core is fragmented and oxidized into CuO QDs, while the outer Co(OH) 2 shell is converted into a‐CoOOH, forming CuO QDs@a‐CoOOH hollow nanocages. The synergistic effects of energy‐level coupling, charge transfer, and enhanced molecular adsorption collectively endow CuO QDs@a‐CoOOH with outstanding SERS activity. The label‐free SERS detection and accurate differentiation of HGC‐27, QGP‐1, and WBCs were achieved based on CuO QDs@a‐CoOOH. The recognition accuracies for three cell lines were 99.0%, 94.3%, and 96.3% via the principal component analysis‐linear discriminant analysis (PCA‐LDA). This high‐performance heterostructure serves as a promising SERS substrate, providing a novel strategy for label‐free and precise identification of gastrointestinal tumor cells.
科研通智能强力驱动
Strongly Powered by AbleSci AI