糖蛋白
化学
检出限
癌胚抗原
生物标志物
亚甲蓝
粘蛋白
癌症研究
生物化学
计算生物学
癌症
色谱法
内科学
生物
医学
光催化
催化作用
作者
Xiaomeng Yu,Ya Cao,Yingyan Zhao,Jianan Xia,Jie Yang,Yuanyuan Xu,Jing Zhao
标识
DOI:10.1021/acs.analchem.3c02266
摘要
Glycoproteins produced and secreted from specific cells and tissues are associated with several diseases and emerge as typical biomarkers to provide useful information in cancer diagnosis considering their abnormal expression levels. In this work, we design a universal method to achieve the accurate and sensitive analysis of tumor-associated glycoprotein biomarkers based on both carbohydrate recognition and protein recognition at the same protein surface. The byproduct of dual recognition-induced proximity amplification, pyrophosphate, triggers the disassembly of methylene blue-encapsulated metal–organic frameworks, MB@ZIF-90. As a result, methylene blue molecules are released to arouse amplified electrochemical responses for glycoprotein analysis. Experimental results demonstrate the high-accuracy analysis of carcinoembryonic antigen, a typical glycoprotein biomarker in cancer diagnosis, in a linear range of 0.001–100 ng mL–1 with a low limit of detection of 0.419 pg mL–1. The method also displays satisfactory specificity and recoveries in complex serum samples and proves good versatility by adopting two other tumor-associated glycoprotein biomarkers, α-fetoprotein and mucin-1, as the targets. Therefore, this work provides a valuable tool for the analysis of glycoprotein biomarkers, which may be of great potential in early warning of malignant tumors in clinical applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI