Liu Le, Fei Maoheng, Wang Yilin, Liu Zhifang, Tang Ying, Li Xinyi, Xie Yixi, Zhao Pengcheng, 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 for Green Organic Synthesis and Application of Hunan Province, Xiangtan University, Xiangtan, 411105, People's Republic of China.
Mikrochim Acta. 2025 Jun 3;192(7):395. doi: 10.1007/s00604-025-07254-2.
Kaempferol (KA), a natural polyphenolic compound with potent anti-cancer activity and pharmacological benefits, exhibits dose-dependent toxicity upon excessive intake. In this work, the MoO@N-C/PC-800 composite was synthesized to overcome the application limitations of single-component transition metal oxides, effectively enhancing the reduction current signal during the electrochemical detection of KA. Notably, combined SEM/TEM/XPS analyses demonstrate that the composite's hierarchical crumpled architecture exposes abundant electroactive sites, thereby achieving superior sensing performance. The sensor constructed based on MoO@N-C/PC-800 exhibited a broad detection range of 0.01-30 μM for KA with an ultralow limit of detection (LOD) of 9.8 nM. To validate the reliability of electrochemical sensing results, UV-Vis was employed as a reference method for comparative analysis of real samples. The sensor's KA concentration measurements were cross-validated against UV-Vis-determined values, yielding recoveries of 95.5-106.0% and relative standard deviation (RSD) values of 1.12-2.29%, which demonstrate excellent consistency between the two methods.
山奈酚（KA）是一种具有强大抗癌活性和药理益处的天然多酚化合物，过量摄入时会表现出剂量依赖性毒性。在这项工作中，合成了MoO@N-C/PC-800复合材料，以克服单组分过渡金属氧化物的应用局限性，在KA的电化学检测过程中有效增强还原电流信号。值得注意的是，结合扫描电子显微镜/透射电子显微镜/ X射线光电子能谱分析表明，该复合材料的分级褶皱结构暴露出丰富的电活性位点，从而实现了卓越的传感性能。基于MoO@N-C/PC-800构建的传感器对KA的检测范围为0.01 - 30 μM，检测限低至9.8 nM。为了验证电化学传感结果的可靠性，采用紫外可见分光光度法作为参考方法对实际样品进行对比分析。该传感器对KA浓度的测量值与紫外可见分光光度法测定值进行交叉验证，回收率为95.5 - 106.0%，相对标准偏差（RSD）值为1.12 - 2.29%，表明两种方法之间具有出色的一致性。
