Li Kai, Xu Xiaoyu, Liu Wanshan, Yang Shouzhi, Huang Lin, Tang Shuai, Zhang Ziyue, Wang Yuning, Chen Fangmin, Qian Kun
Department of Urology, Tianjin Third Central Hospital Affiliated to Nankai University, Tianjin, China.
State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering, Institute of Medical Robotics and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
Front Chem. 2022 Apr 4;10:861353. doi: 10.3389/fchem.2022.861353. eCollection 2022.
Glucose is a source of energy for daily activities of the human body and is regarded as a clinical biomarker, due to the abnormal glucose level in the blood leading to many endocrine metabolic diseases. Thus, it is indispensable to develop simple, accurate, and sensitive methods for glucose detection. However, the current methods mainly depend on natural enzymes, which are unstable, hard to prepare, and expensive, limiting the extensive applications in clinics. Herein, we propose a dual-mode CuO nanoparticles (NPs) based biosensor for glucose analysis based on colorimetric assay and laser desorption/ionization mass spectrometry (LDI MS). CuO NPs exhibited excellent peroxidase-like activity and served as a matrix for LDI MS analysis, achieving visual and accurate quantitative analysis of glucose in serum. Our proposed method possesses promising application values in clinical disease diagnostics and monitoring.
葡萄糖是人体日常活动的能量来源，由于血液中葡萄糖水平异常会导致许多内分泌代谢疾病，因此被视为一种临床生物标志物。因此，开发简单、准确、灵敏的葡萄糖检测方法是必不可少的。然而，目前的方法主要依赖于天然酶，这些酶不稳定、难以制备且昂贵，限制了其在临床中的广泛应用。在此，我们提出了一种基于比色法和激光解吸/电离质谱（LDI MS）的双模式CuO纳米颗粒（NPs）生物传感器用于葡萄糖分析。CuO NPs表现出优异的过氧化物酶样活性，并作为LDI MS分析的基质，实现了血清中葡萄糖的可视化和准确定量分析。我们提出的方法在临床疾病诊断和监测中具有广阔的应用价值。
