Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
Mikrochim Acta. 2024 Sep 6;191(10):577. doi: 10.1007/s00604-024-06664-y.
Multi-aptamer recognition of breast cancer cells (MCF-7) is utilized to achieve high specificity. The method comprises two parts, aptamer-functionalized mesoporous silica nanoparticles (MSNs) loaded with dissimilar dyes (thymolphthalein or curcumin) as signal transducers and aptamer-modified magnetic beads (MBs) as capture agents, which worked together to detect MCF-7 cells sensitively and accurately. The results indicated that the aptasensor has a linear detection range of 100 to 4000 cells and a detection threshold of 10 cells/mL. The method had been successfully employed to detect breast cancer cells in real blood samples to distinguish between breast cancer patients and healthy individuals. In conclusion, the development of the multi-aptamer-based colorimetric sensor offered a novel method for the highly selective detection of MCF-7 cells, contributing to the accurate identification of breast cancer.
多适体识别乳腺癌细胞（MCF-7）可实现高特异性。该方法包括两部分，即负载不同染料（百里酚酞或姜黄素）的适体功能化介孔硅纳米粒子（MSNs）作为信号转导物和适体修饰的磁性珠（MBs）作为捕获剂，它们共同灵敏而准确地检测 MCF-7 细胞。结果表明，该适体传感器的线性检测范围为 100 至 4000 个细胞，检测阈值为 10 个细胞/mL。该方法已成功用于检测真实血液样本中的乳腺癌细胞，以区分乳腺癌患者和健康个体。总之，基于多适体的比色传感器的开发为 MCF-7 细胞的高选择性检测提供了一种新方法，有助于准确识别乳腺癌。
