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Can I read A High-resolution Colorimetric Immunoassay for Tyramine Detection Based on Enzyme-enabled Growth of Gold Nanostar Coupled with Smartphone Readout on EtoBox?

A High-resolution Colorimetric Immunoassay for Tyramine Detection Based on Enzyme-enabled Growth of Gold Nanostar Coupled with Smartphone Readout by Lin Luo; Shuang-Zi Luo; Bao-Zhu Jia; Wen-Feng Zhang; Hong Wang; Xiao-Qun Wei; Yu-Dong Shen; Hong-Tao Lei; Zhen-Lin Xu; Jin-Yi Yang is a Agricultural and Biological Sciences article available to read on EtoBox.

What is A High-resolution Colorimetric Immunoassay for Tyramine Detection Based on Enzyme-enabled Growth of Gold Nanostar Coupled with Smartphone Readout about?

In this work, a specific monoclonal antibody against tyramine was produced based on a new hapten design. Then, we developed a high-resolution multicolor colorimetric immunoassay for tyramine based on this antibody by integrating enzyme-induced multicolor generation with smartphone-assistant signal readout. The multicolor generation is due to the shift of the local surface plasmon resonance band of gold nanostructure controlled by alkaline phosphatase-induced the growth of gold nanostars. Quantitative detection of tyramine was achieved via analyzing the red/blue channel values of assay solution's image taken by a smartphone with the support of a color recognizer application. The limit of detection of this immunoassay for tyramine detection in beef, pork and yoghurt was 19.7 mg/kg or L. The average recoveries were between 83 % and 103 %., and the results were validated by high performance liquid chromatography to be reliable. Overall, this developed immunoassay provides a promising platform for on-site detection of tyramine.

Who reads A High-resolution Colorimetric Immunoassay for Tyramine Detection Based on Enzyme-enabled Growth of Gold Nanostar Coupled with Smartphone Readout?

It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.

Author
Lin Luo; Shuang-Zi Luo; Bao-Zhu Jia; Wen-Feng Zhang; Hong Wang; Xiao-Qun Wei; Yu-Dong Shen; Hong-Tao Lei; Zhen-Lin Xu; Jin-Yi Yang
Publisher
Elsevier BV
Published
2022
Language
EN
Field
Agricultural and Biological Sciences (Life Sciences)

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