2018
DOI: 10.1039/c8nr04138e
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A smartphone-based quantitative detection platform of mycotoxins based on multiple-color upconversion nanoparticles

Abstract: The detection of mycotoxins in food is urgently needed because they pose a significant threat to public health. In this study, we developed a quantitative detection platform for mycotoxins by integrating multicolor upconversion nanoparticle barcode technology with fluorescence image processing using a smartphone-based portable device. The multi-colored upconversion nanoparticle encoded microspheres (UCNMs) were used as encoded signals for detecting different mycotoxins simultaneously. After indirect competitiv… Show more

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Cited by 58 publications
(28 citation statements)
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“…According to our previously published articles, carboxyl modified up-conversion particles (red, green, and blue) were prepared . Up-conversion particles (red, green, and blue) were dispersed with 200 μL of water.…”
Section: Methodsmentioning
confidence: 99%
“…According to our previously published articles, carboxyl modified up-conversion particles (red, green, and blue) were prepared . Up-conversion particles (red, green, and blue) were dispersed with 200 μL of water.…”
Section: Methodsmentioning
confidence: 99%
“…With such advanced technology, multiplex fluorescence imaging biosensors can be developed in a portable, cost‐effective manner. For example, a quantitative detection platform of mycotoxins was developed by integrating multicolored UCNPs barcode technology with portable fluorescence image processing device (Yang et al., 2018). The multicolored UCNPs were synthesized to label AFB1, OTA, and ZEN antibodies, respectively.…”
Section: Smartphone Integration Toward Point‐of‐care Testmentioning
confidence: 99%
“…In the proposed work, the smartphone is used as a detector to determine the fluorescent nanoparticle's intensity level (29). The minimum required configuration for a smartphone as a detector is above the Jellybean android version and the camera must be 8 megapixels (MP) and above.…”
Section: Smartphonementioning
confidence: 99%