State Key Lab of Supramolecular Structure and Materials, College of Chemistry , Jilin University , Changchun 130012 , People's Republic of China.
Jilin Ginseng Academy , Changchun University of Chinese Medicine , Changchun 130117 , People's Republic of China.
Anal Chem. 2018 Dec 18;90(24):14578-14585. doi: 10.1021/acs.analchem.8b04691. Epub 2018 Dec 6.
The profiling of disease-related biomarkers is an essential procedure for the accurate diagnosis and intervention of metabolic disorders. Therefore, the development of ultrasensitive and highly selective fluorogenic biosensors for diverse biomarkers is extremely desirable. There is still a considerable challenge to prepare nanocluster-based fluorescence turn-on probes capable of recognizing multiple biomolecules. We herein provide a novel nanocluster-based chemical information processing system (CIPS) for the programmable detection of various metabolites and enzymes. This CIPS consists of biocatalytic reactions between substrates and their respective oxidases to generate HO, which was then employed to synthesize bright fluorescent silver nanoclusters (Ag NCs). Utilizing this system, we are able to accurately probe a series of substrates/corresponding oxidases with high sensitivity and specificity, including glucose/glucose oxidase, uric acid/uric acid oxidase, sarcosine/sarcosine oxidase, choline/choline oxidase, xanthine/xanthine oxidase, and lactic acid/lactic acid oxidase. Furthermore, this metabolite profiling CIPS can be integrated with binary logic operations, which create an intelligent tool for the high-throughput screening of various diseases in vitro (e.g., diabetes, gout, prostate cancer, cardiovascular disease, and lactic acidosis).
疾病相关生物标志物的分析是代谢紊乱准确诊断和干预的重要程序。因此，开发用于各种生物标志物的超灵敏和高选择性的荧光生物传感器是非常可取的。制备能够识别多种生物分子的基于纳米团簇的荧光开启探针仍然存在相当大的挑战。我们在此提供了一种新的基于纳米团簇的化学信息处理系统 (CIPS)，用于可编程检测各种代谢物和酶。该 CIPS 由底物与其各自的氧化酶之间的生物催化反应生成 HO，然后用于合成明亮的荧光银纳米团簇 (Ag NCs)。利用该系统，我们能够以高灵敏度和特异性准确探测一系列底物/相应的氧化酶，包括葡萄糖/葡萄糖氧化酶、尿酸/尿酸氧化酶、肌氨酸/肌氨酸氧化酶、胆碱/胆碱氧化酶、黄嘌呤/黄嘌呤氧化酶和乳酸/乳酸氧化酶。此外，这种代谢物分析 CIPS 可以与二进制逻辑运算集成，为体外高通量筛选各种疾病（例如糖尿病、痛风、前列腺癌、心血管疾病和乳酸性酸中毒）创建智能工具。
