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Zhixian Gao

Researcher at Huazhong Agricultural University

Publications -  138
Citations -  2238

Zhixian Gao is an academic researcher from Huazhong Agricultural University. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 27, co-authored 75 publications receiving 1590 citations. Previous affiliations of Zhixian Gao include Tianjin University & Academy of Military Medical Sciences.

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A zirconium-porphyrin MOF-based ratiometric fluorescent biosensor for rapid and ultrasensitive detection of chloramphenicol.

TL;DR: A ratiometric fluorescent sensing strategy based on an aptamer labeled with a fluorescent dye and a highly stable zirconium-porphyrin MOF as a fluorescence quencher for the high-efficiency detection of chloramphenicol (CAP).
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Simultaneous and rapid detection of six different mycotoxins using an immunochip.

TL;DR: An immunochip for simultaneous detection of six mycotoxins within 4h is established, with advantages of using minimal samples and being visually semiquantitative with the authors' naked eyes, and could be developed on one single chip for detecting multiple contaminants in actual samples.
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A novel electrochemical sensor based on electropolymerized molecularly imprinted polymer and gold nanomaterials amplification for estradiol detection

TL;DR: A molecularly imprinted electrochemical sensor for the rapid detection of estradiol (E 2 ) was reported in this article, which was modified by gold nanoparticles (AuNPs) and molecular imprinted polymer (MIP).
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A sensitive immunoassay based on direct hapten coated format and biotin–streptavidin system for the detection of chloramphenicol

TL;DR: In sample analysis, the results of CAP detected by this assay were in accordance with which obtained by conventional ELISA and high performance liquid chromatography (HPLC).
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Application of suspension array for simultaneous detection of four different mycotoxins in corn and peanut.

TL;DR: A suspension array method for the simultaneous detection of the four mycotoxins within 4h was successfully developed and proven to have high throughput, flexibility, accuracy and reproducibility and the approach could detect multiple contaminants in actual samples.