Xu Shenghao, Wu Yufeng, Sun Xiaomei, Wang Zhuqing, Luo Xiliang
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, P. R. China.
J Mater Chem B. 2017 Jun 14;5(22):4207-4213. doi: 10.1039/c7tb00367f. Epub 2017 May 18.
Early diagnosis of cancer is a critical element in patient prognosis and establishing effective therapy regimens. Here, we developed an easily accessible and potentially powerful effective cross-reactive sensor array based on six kinds of fluorescent Au NCs for discriminating multiple proteins according to the diverse fluorescence intensity response patterns. The identification of proteins at nanomolar concentrations with excellent reproducibility and high sensitivity could be achieved by linear discrimination analysis (LDA) of the response patterns. In addition, hydrogen bonding and van der Waals forces mainly dominated the interaction between Au NCs and proteins as illustrated by the isothermal titration calorimetry (ITC) experiment. Notably, multiple proteins could still be well discriminated in the presence of a human urine sample. Furthermore, serum samples from breast cancer patients, rectal cancer patients and healthy people could be effectively discriminated, demonstrating great potential for applications in biomedical diagnostics.
癌症的早期诊断是影响患者预后和制定有效治疗方案的关键因素。在此，我们基于六种荧光金纳米簇开发了一种易于获取且具有潜在强大功能的有效交叉反应传感器阵列，用于根据不同的荧光强度响应模式鉴别多种蛋白质。通过对响应模式进行线性判别分析（LDA），可以实现对纳摩尔浓度蛋白质的识别，具有出色的重现性和高灵敏度。此外，等温滴定量热法（ITC）实验表明，氢键和范德华力在金纳米簇与蛋白质之间的相互作用中起主要作用。值得注意的是，在存在人类尿液样本的情况下，仍能很好地鉴别多种蛋白质。此外，乳腺癌患者、直肠癌患者和健康人的血清样本也能被有效鉴别，显示出在生物医学诊断中的巨大应用潜力。
