Two-Dimensional Fe-N-C Single-Atomic-Site Catalysts with Boosted Peroxidase-Like Activity for a Sensitive Immunoassay

被引:10
|
作者
Lyu, Zhaoyuan [1 ]
Ding, Shichao [1 ]
Fang, Lingzhe [2 ]
Li, Xin [1 ]
Li, Tao [2 ,3 ]
Xu, Mingjie [4 ]
Pan, Xiaoqing [4 ]
Zhu, Wenlei [1 ]
Zhou, Yang [1 ]
Du, Dan [5 ]
Lin, Yuehe [1 ]
机构
[1] Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USA
[2] Northern Illinois Univ, Dept Chem & Biochem, De Kalb, IL 60115 USA
[3] Argonne Natl Lab, Xray Sci Div, Lemont, IL 60439 USA
[4] Univ Calif Irvine, Irvine Mat Res Inst IMRI, Irvine, CA 92697 USA
[5] DL ADV Tech, Pullman, WA 99163 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
ELISA;
D O I
10.1021/acs.analchem.2c05633
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Single-atomic-site catalysts (SASCs) with peroxidase (POD)-like activities have been widely used in various sensing platforms, like the enzyme-linked immunosorbent assay (ELISA). Herein, a two-dimensional Fe-N-C-based SASC (2D Fe-SASC) is successfully synthesized with excellent POD-like activity (specific activity = 90.11 U/mg) and is used to design the ELISA for herbicide detection. The 2D structure of Fe-SASC enables the exposure of numerous single atomic active sites on the surface as well as boosts the POD-like activity, thereby enhancing the sensing performance. 2D Fe-SASC is assembled into competitive ELISA kit, which achieves an excellent detection performance for 2,4-dichlorophenoxyacetic acid (2,4-D). Fe-SASC has great potential in replacing high-cost natural enzymes and working on various advanced sensing platforms with high sensitivity for the detection of various target biomarkers.
引用
收藏
页码:4521 / 4528
页数:8
相关论文
共 50 条
  • [1] Fe-N-C single-atom nanozymes with peroxidase-like activity for the detection of alkaline phosphatase
    Xie, Xiaolei
    Wang, Yufei
    Zhou, Xiaobin
    Chen, Junyang
    Wang, Mengke
    Su, Xingguang
    ANALYST, 2021, 146 (03) : 896 - 903
  • [2] Peroxidase-like activity of Fe-N-C single-atom nanozyme based colorimetric detection of galactose
    Zhou, Xiaobin
    Wang, Mengke
    Chen, Junyang
    Xie, Xiaolei
    Su, Xingguang
    ANALYTICA CHIMICA ACTA, 2020, 1128 : 72 - 79
  • [3] Fe-N-C Single-Atom Catalyst Coupling with Pt Clusters Boosts Peroxidase-like Activity for Cascade-Amplified Colorimetric Immunoassay
    Chen, Yifeng
    Jiao, Lei
    Yan, Hongye
    Xu, Weiqing
    Wu, Yu
    Zheng, Lirong
    Gu, Wenling
    Zhu, Chengzhou
    ANALYTICAL CHEMISTRY, 2021, 93 (36) : 12353 - 12359
  • [4] Boron-doped Fe-N-C single-atom nanozymes specifically boost peroxidase-like activity
    Jiao, Lei
    Xu, Weiqing
    Zhang, Yu
    Wu, Yu
    Gu, Wenling
    Ge, Xiaoxiao
    Chen, Bingbing
    Zhu, Chengzhou
    Guo, Shaojun
    NANO TODAY, 2020, 35
  • [5] Single-Atom Nanozyme Based on Nanoengineered Fe-N-C Catalyst with Superior Peroxidase-Like Activity for Ultrasensitive Bioassays
    Cheng, Nan
    Li, Jin-Cheng
    Liu, Dong
    Lin, Yuehe
    Du, Dan
    SMALL, 2019, 15 (48)
  • [6] Colorimetric detection of benzoate in the beverage using the peroxidase-like properties of single-atom Fe-N-C nanozymes
    Qin, Shuo
    Li, Zongze
    Zhou, Boran
    Liu, Bin
    Xue, Yuting
    Zhao, Ruixue
    Zheng, Lirong
    Chen, Zhengbo
    Zuo, Xia
    MICROCHEMICAL JOURNAL, 2024, 206
  • [7] Enhancing Oxygen Electroreduction Activity of Single-Site Fe-N-C Catalysts by a Metal Support
    Jiang, Zhen
    Alexandrov, Vitaly
    JOURNAL OF PHYSICAL CHEMISTRY C, 2019, 123 (50): : 30335 - 30340
  • [8] Dual-mode colorimetric-photothermal sensing platform of acetylcholinesterase activity based on the peroxidase-like activity of Fe-N-C nanozyme
    Lu, Liling
    Hu, Xuehan
    Zeng, Ruijin
    Lin, Qianyun
    Huang, Xue
    Li, Meijin
    Tang, Dianping
    ANALYTICA CHIMICA ACTA, 2022, 1229
  • [9] Two-Dimensional Fe-N-C Nanosheets for Efficient Oxygen Reduction Reaction
    Wu, Xin
    Xie, Wenke
    Liu, Xuanhe
    Liu, Xiaoming
    Zhao, Qinglan
    CATALYSTS, 2022, 12 (10)
  • [10] Insights into the activity of single-atom Fe-N-C catalysts for oxygen reduction reaction
    Liu, Kang
    Fu, Junwei
    Lin, Yiyang
    Luo, Tao
    Ni, Ganghai
    Li, Hongmei
    Lin, Zhang
    Liu, Min
    NATURE COMMUNICATIONS, 2022, 13 (01)