化学
马尿酸
石墨烯
检出限
甲苯
电化学气体传感器
氧化物
选择性
抗坏血酸
分子印迹聚合物
电化学
色谱法
化学工程
有机化学
催化作用
物理化学
尿
电极
生物化学
食品科学
工程类
作者
Haifeng Gao,Jinyue Chai,Chengcheng Jin,Miaomiao Tian
标识
DOI:10.1016/j.aca.2024.342307
摘要
Toluene, a volatile organic compound, may have adverse effects on the nervous and digestive system when inhaled over an extended period. The assessment of environmental toluene exposure can be effectively conducted by detecting hippuric acid (HA), a toluene metabolite. In this investigation, a molecularly imprinted electrochemical sensor was developed for HA detection, utilizing the synergistic effects of reduced graphene oxide (RGO) and a bimetallic organic skeleton known as CoNi-MOF. Initially, graphene oxide (GO) was synthesized using a modified Hummers' method, and RGO with better conductivity was achieved through reduction with ascorbic acid (AA). Subsequently, CoNi-MOF was introduced to enhance the material's electron transport capabilities further. The molecularly imprinted membrane was then prepared via electropolymerization to enable selective HA recognition. Under optimal conditions, the synthesized sensor exhibited accurate HA detection within a concentration range of 2–800 nM, with a detection limit of 0.97 nM. The sensor's selectivity was assessed using a selectivity coefficient, yielding an imprinting factor of 6.53. The method was successfully applied to the quantification of HA in urine, demonstrating a favorable recovery rate of 93.4%–103.9%. In conclusion, this study presents a practical platform for the detection of human metabolite detection.
科研通智能强力驱动
Strongly Powered by AbleSci AI