摘要
铁基纳米材料因具有丰富的化合价态和活性位点,表现出良好的类过氧化物酶活性而受到广泛关注。该研究通过简单水热法合成Fe_(7)S_(8)纳米花(NFs),并基于其类过氧化物酶活性构建了用于H_(2)O_(2)高灵敏度比色检测的3,3',5,5'-四甲基联苯胺(TMB)和H_(2)O_(2)显色体系。优化了体系的显色条件,并考察了Fe_(7)S_(8) NFs的类酶活性稳态动力学及催化机理。在0.001~9 mmol/L和9~70 mmol/L范围内,H_(2)O_(2)浓度与652 nm处的吸光度值呈现良好的线性关系,对应的检出限分别为0.33μmol/L和3 mmol/L。同时方法具有良好的抗干扰能力。通过结合拍照暗箱装置和色值分析软件(Thing Identify),实现了基于智能手机的H_(2)O_(2)可视化检测,并成功用于实际水样检测。开发的智能手机可视化比色检测方法具有操作简便、成本低等特点,为实际场景中H_(2)O_(2)的检测提供了一种可行的选择。
Iron-based nanomaterials have attracted plentiful eyes owing to their rich valency states and active sites,and thus possess superior peroxidase-like activity.Herein,Fe_(7)S_(8) nanoflowers(NFs)were successfully fabricated by a facile hydrothermal approach and applied for the development of a highly sensitive colorimetric detection for hydrogen peroxide(H_(2)O_(2)).The as-constructed approach was based on the chromogenic reaction between 3,3',5,5'-tetramethylbenzidine(TMB)and H_(2)O_(2).The analysis conditions of the system were optimized,and the steady-state kinetic assay and catalytic mechanism of the Fe_(7)S_(8) NFs enzyme-like activity were also investigated.In the range of 0.001-9 mmol/L and 9-70 mmol/L,H_(2)O_(2) concentration showed a good linear relationship with the absorbance value at 652 nm,and the corresponding detection limits were 0.33μmol/L and 3 mmol/L,respectively.The method had a wide linear range,low detection limits and good anti-interference ability.Integrated with an image-acquiring dark device and colorimetric assay software(Thing Identify),the method based on smartphone was realized and successfully used in actual water samples.Overall,this intelligent and visual colorimetric assay has the advantages of simple operation and low preparation cost,and thus provides a feasible choice for H_(2)O_(2) assay in real-world samples.
作者
顾婧婧
李钟杰
李宇浩
公海龙
马勤勤
刘婷婷
王学东
GU Jing-jing;LI Zhong-jie;LI Yu-hao;GONG Hai-long;MA Qin-qin;LIU Ting-ting;WANG Xue-dong(School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,China;Jiangsu Key Laboratory of Environmental Science and Engineering,Suzhou 215009,China)
出处
《分析测试学报》
CAS
CSCD
北大核心
2024年第2期236-246,共11页
Journal of Instrumental Analysis
基金
国家自然科学基金(22076134)
江苏省自然科学基金(BK20211338)
苏州市重点项目(SS202028)
江苏省研究生科研与实践创新项目(SJCX22-1557)。