Key Laboratory of Sensor Analysis of Tumor Marker Ministry of Education, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, PR China.
Department of Breast Surgery, The Eighth Peoples' Hospital of Qingdao, Qingdao 266100, China.
Biosens Bioelectron. 2017 Nov 15;97:203-207. doi: 10.1016/j.bios.2017.06.007. Epub 2017 Jun 6.
Here, a multidimensional sensor array capable of analyzing various proteins and discriminating between serums from different stages of breast cancer patients were developed based on six kinds of near infrared fluorescent dual ligand functionalized Au NCs (functionalized with different amino acids) as sensing receptors. These six kinds of different amino acids functionalized Au NCs were synthesized for the first time within 2h due to the direct donation of delocalized electrons of electron-rich atoms or groups of the ligands to the Au core. Based on this, ten proteins could be simultaneously and effectively discriminated by this "chemical nose/tongue" sensor array. Linear discrimination analysis (LDA) of the response patterns showed successful differentiation of the analytes at concentrations as low as 10nM with high identification accuracy. Isothermal titration calorimetry (ITC) experiment illustrates that Au NCs interacted with proteins mainly by hydrogen bonding and van der Waals forces. Furthermore, the greatest highlight of this sensor array is demonstrated by successfully discriminating between serums from different stages of breast cancer patients (early, middle and late) and healthy people, suggesting great potential for auxiliary diagnosis.
在这里，我们开发了一种多维传感器阵列，该阵列能够分析各种蛋白质，并区分来自不同乳腺癌患者阶段的血清。该传感器阵列基于六种近红外荧光双配体功能化的 AuNCs（用不同的氨基酸功能化）作为传感受体。由于配体中富电子原子或基团的离域电子直接供体到 Au 核，因此这六种不同的氨基酸功能化的 AuNCs 在 2 小时内首次被合成。基于此，这个“化学鼻子/舌头”传感器阵列可以同时有效地区分十种蛋白质。响应模式的线性判别分析（LDA）表明，在低至 10nM 的浓度下，可以通过高识别精度成功区分分析物。等温热力学滴定（ITC）实验表明，AuNCs 与蛋白质主要通过氢键和范德华力相互作用。此外，该传感器阵列的最大亮点在于成功区分了来自不同乳腺癌患者阶段（早期、中期和晚期）和健康人群的血清，表明其在辅助诊断方面具有很大的潜力。
