J
Jianjun Li
Researcher at Zhengzhou University
Publications - 63
Citations - 1831
Jianjun Li is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Electrochemical gas sensor & Graphene. The author has an hindex of 25, co-authored 60 publications receiving 1383 citations.
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Nafion/multi-wall carbon nanotubes composite film coated glassy carbon electrode for sensitive determination of caffeine
TL;DR: In this paper, a Nafion/multi-wall carbon nanotubes (MWNTs) composite film-modified electrode was fabricated and applied for the sensitive and selective determination of caffeine.
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High sensitive and selective graphene oxide/molecularly imprinted polymer electrochemical sensor for 2,4-dichlorophenol in water
TL;DR: In this paper, a sensitive and selective electrochemical sensor based on molecularly imprinted polymer/graphene oxide (MIP/GO) modified glassy carbon electrode (GCE) was developed.
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Reduced graphene oxide nanosheets functionalized with poly(styrene sulfonate) as a peroxidase mimetic in a colorimetric assay for ascorbic acid
TL;DR: In this paper, a colorimetric method for the determination of ascorbic acid was proposed based on the finding that nanosheets of reduced graphene oxide that were functionalized with poly(styrene sulfonate) (PSS-rGO) possess peroxidase-like activity that catalyzes the oxidization of the substrate 3,3',5,5'-tetramethylbenzidine (TMB) by H2O2 to form a blue product (oxidized TMB; oxTMB).
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A novel colorimetric strategy for sensitive and rapid sensing of ascorbic acid using cobalt oxyhydroxide nanoflakes and 3,3′,5,5′-tetramethylbenzidine
Danyang Ji,Ya-Hui Du,Hong-Min Meng,Lin Zhang,Zhongming Huang,Yalei Hu,Jianjun Li,Fei Yu,Zhaohui Li,Zhaohui Li +9 more
TL;DR: In this article, a paper-based strip sensor for detecting ascorbic acid (AA) was proposed, which showed a highly sensitive response to AA with a detection limit of 142 nM and a short assay time of 5min.
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A highly sensitive and selective electrochemical sensor based on polydopamine functionalized graphene and molecularly imprinted polymer for the 2,4-dichlorophenol recognition and detection.
TL;DR: A sensitive and selective electrochemical sensor based on polydopamine-reduced graphene oxide (PDA-rGO) and molecular imprinted polymers (MIP) modified glassy carbon electrode for detection of 2,4-DCP was fabricated and successfully applied for the determination of 1,8 nM (S/N = 3) water samples.