College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha 410082, China.
College of Environmental Science and Engineering, Hunan University, Changsha 410082, China; Key Laboratory of Environmental Biology and Pollution Control, Hunan University, Ministry of Education, Changsha 410082, China.
Biosens Bioelectron. 2014 Nov 15;61:519-25. doi: 10.1016/j.bios.2014.05.063. Epub 2014 Jun 8.
Herein, we reported here a promising biosensor by taking advantage of the unique ordered mesoporous carbon nitride material (MCN) to convert the recognition information into a detectable signal with enzyme firstly, which could realize the sensitive, especially, selective detection of catechol and phenol in compost bioremediation samples. The mechanism including the MCN based on electrochemical, biosensor assembly, enzyme immobilization, and enzyme kinetics (elucidating the lower detection limit, different linear range and sensitivity) was discussed in detail. Under optimal conditions, GCE/MCN/Tyr biosensor was evaluated by chronoamperometry measurements and the reduction current of phenol and catechol was proportional to their concentration in the range of 5.00 × 10(-8)-9.50 × 10(-6)M and 5.00 × 10(-8)-1.25 × 10(-5)M with a correlation coefficient of 0.9991 and 0.9881, respectively. The detection limits of catechol and phenol were 10.24 nM and 15.00 nM (S/N=3), respectively. Besides, the data obtained from interference experiments indicated that the biosensor had good specificity. All the results showed that this material is suitable for load enzyme and applied to the biosensor due to the proposed biosensor exhibited improved analytical performances in terms of the detection limit and specificity, provided a powerful tool for rapid, sensitive, especially, selective monitoring of catechol and phenol simultaneously. Moreover, the obtained results may open the way to other MCN-enzyme applications in the environmental field.
在此,我们利用独特的有序介孔氮化碳材料 (MCN) 首先将识别信息转化为可检测信号,实现了对堆肥生物修复样品中儿茶酚和苯酚的灵敏、特别是选择性检测,报道了一种很有前景的生物传感器。详细讨论了包括基于电化学的 MCN、生物传感器组装、酶固定化和酶动力学(阐明更低的检测限、不同的线性范围和灵敏度)的机制。在最佳条件下,通过计时安培法测量评估了 GCE/MCN/Tyr 生物传感器,苯酚和儿茶酚的还原电流与其浓度在 5.00×10(-8)-9.50×10(-6)M 和 5.00×10(-8)-1.25×10(-5)M 的范围内成正比,相关系数分别为 0.9991 和 0.9881。儿茶酚和苯酚的检测限分别为 10.24 nM 和 15.00 nM(S/N=3)。此外,从干扰实验获得的数据表明,该生物传感器具有良好的特异性。所有结果表明,由于所提出的生物传感器在检测限和特异性方面表现出了改进的分析性能,为儿茶酚和苯酚的快速、灵敏、特别是选择性监测提供了有力工具,这种材料适合负载酶并应用于生物传感器。此外,所得到的结果可能为其他 MCN-酶在环境领域的应用开辟道路。