材料科学
仿形(计算机编程)
纳米技术
计算机科学
操作系统
作者
Jing Yang,Xia Yin,Longzhou Zhang,Xiwen Zhang,Yue Lin,Linzhou Zhuang,Wanshan Liu,Ru Zhang,Xuecheng Yan,Li Shi,Wen Di,Lei Feng,Yi Jia,Jinlan Wang,Kun Qian,Xiangdong Yao
标识
DOI:10.1002/adma.202201422
摘要
Cancers heavily threaten human life; therefore, a high-accuracy diagnosis is vital to protect human beings from the suffering of cancers. While biopsies and imaging methods are widely used as current technologies for cancer diagnosis, a new detection platform by metabolic analysis is expected due to the significant advantages of fast, simple, and cost-effectiveness with high body tolerance. However, the signal of molecule biomarkers is too weak to acquire high-accuracy diagnosis. Herein, precisely engineered metal-organic frameworks for laser desorption/ionization mass spectrometry, allowing favorable charge transfer within the molecule-substrate interface and mitigated thermal dissipation by adjusting the phonon scattering with metal nodes, are developed. Consequently, a surprising signal enhancement of ≈10 000-fold is achieved, resulting in diagnosis of three major cancers (liver/lung/kidney cancer) with area-under-the-curve of 0.908-0.964 and accuracy of 83.2%-90.6%, which promises a universal detection tool for large-scale clinical diagnosis of human cancers.
科研通智能强力驱动
Strongly Powered by AbleSci AI