Zhao Pengcheng, Huang Linzi, Wang Hui, Wang Chenxi, Chen Jia, Yang Pingping, Ni Meijun, Chen Chao, Li Chunyan, Xie Yixi, Fei Junjie
Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan 411105, People's Republic of China.
Key Laboratory of Polar Materials and Devices, Ministry of Education, East China Normal University, Shanghai 200241, People's Republic of China.
Sens Actuators B Chem. 2022 Jan 1;350:130853. doi: 10.1016/j.snb.2021.130853. Epub 2021 Sep 30.
Baicalin (Bn) obtained from natural plants has been found to exhibit significant antiviral activity against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Herein, a novel ultrasensitive Bn electrochemical sensor was proposed based on graphitized carbon-nitride - single-walled carbon nanotube nanocomposites (CN-SWCNTs), reduced graphene oxide (rGO) and electrodeposited cyclodextrin-metal organic framework (CD-MOF). The sensing nanomaterials were characterized by X-ray diffraction spectroscopy, X-ray photoelectron spectroscopy, Raman spectroscopy, scanning electron microscopy, and transmission electron microscopy. Under optimal conditions, the sensor exhibited sensitive detection of Bn in a wide linear range of 1 × 10-5 × 10 M with an LOD of 4.6 × 10 M and a sensitivity of 220 A/M, and it showed satisfactory stability and accuracy for detecting Bn in real samples (human serum and bear bile scutellaria eye drops). In addition, the electrochemical reaction sites and redox mechanism of Bn were revealed through electrochemical behavior and density functional theory. This work provided an insightful solution for detecting Bn, and extensive potential applications could be further expected.
从天然植物中提取的黄芩苷(Bn)已被发现对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)具有显著的抗病毒活性。在此,基于石墨化氮化碳-单壁碳纳米管纳米复合材料(CN-SWCNTs)、还原氧化石墨烯(rGO)和电沉积环糊精-金属有机框架(CD-MOF),提出了一种新型的超灵敏Bn电化学传感器。通过X射线衍射光谱、X射线光电子能谱、拉曼光谱、扫描电子显微镜和透射电子显微镜对传感纳米材料进行了表征。在最佳条件下,该传感器在1×10⁻⁵至10 M的宽线性范围内对Bn表现出灵敏检测,检测限为4.6×10 M,灵敏度为220 A/M,并且在实际样品(人血清和熊胆黄芩滴眼液)中检测Bn时显示出令人满意的稳定性和准确性。此外,通过电化学行为和密度泛函理论揭示了Bn的电化学反应位点和氧化还原机制。这项工作为检测Bn提供了一个有见地的解决方案,并有望进一步实现广泛的潜在应用。