Chen Guosheng, Qiu Junlang, Xu Jianqiao, Fang Xu'an, Liu Yan, Liu Shuqin, Wei Songbo, Jiang Ruifen, Luan Tiangang, Zeng Feng, Zhu Fang, Ouyang Gangfeng
MOE Key Laboratory of Aquatic Product Safety/KLGHEI of Environment and Energy Chemistry , School of Chemistry and Chemical Engineering , Sun Yat-sen University , Guangzhou 510275 , P. R. China . Email:
Chem Sci. 2016 Feb 1;7(2):1487-1495. doi: 10.1039/c5sc03992d. Epub 2015 Nov 19.
Carbohydrates are known to be involved in a wide range of biological and pathological processes. However, due to the presence of multiple hydroxyl groups, carbohydrate recognition is a particular challenge. Herein, we reported an ultrasensitive solid-phase microextraction (SPME) probe based on phenylboronic acid (PBA) functionalized carbon nanotubes (CNTs) for direct or recognition of carbohydrates in biofluids as well as semi-solid biotissues. The coating of the proposed probe possessed a 3D interconnected porous architecture formed by the stacking of CNTs. As a result, the binding capacity toward carbohydrates was excellent. The proposed approach was demonstrated to be much superior to most carbohydrate sensors, including higher sensitivity, wider linear range, and excellent qualitative ability in multi-carbohydrate systems. Thus, this approach opens up new avenues for the facile and efficient recognition of carbohydrates for important applications such as glycomics.
已知碳水化合物参与广泛的生物和病理过程。然而,由于存在多个羟基,碳水化合物识别是一项特殊挑战。在此,我们报道了一种基于苯基硼酸(PBA)功能化碳纳米管(CNTs)的超灵敏固相微萃取(SPME)探针,用于直接检测或识别生物流体以及半固体生物组织中的碳水化合物。所提出探针的涂层具有由碳纳米管堆叠形成的三维互连多孔结构。因此,对碳水化合物的结合能力优异。所提出的方法被证明比大多数碳水化合物传感器优越得多,包括更高的灵敏度、更宽的线性范围以及在多碳水化合物系统中出色的定性能力。因此,这种方法为糖组学等重要应用中碳水化合物的简便高效识别开辟了新途径。