Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Room-Temperature Quasi-CW Random Lasing in a Tin-Perovskite Ultrathin Film.

The journal of physical chemistry letters·2026
Same author

Exceptional point-enhanced piezoelectric thermometry via anti-parity-time symmetry.

Microsystems & nanoengineering·2026
Same author

Interpretable machine learning for predicting EUR of shale gas wells in the Weiyuan block.

Scientific reports·2026
Same author

A Survey on Vision--Language--Action Models for Embodied AI.

IEEE transactions on neural networks and learning systems·2026
Same author

A multifunctional lipid-lowering nanotherapeutic alleviates lipid deposition associated microglial dysfunction.

Nanomedicine (London, England)·2026
Same author

DualGPT-AB: a dual-stage generative optimization framework for therapeutic antibody design.

Nature computational science·2026

Related Experiment Video

Updated: Dec 30, 2025

Multiplexed Fluorescent Microarray for Human Salivary Protein Analysis Using Polymer Microspheres and Fiber-optic Bundles
08:50

Multiplexed Fluorescent Microarray for Human Salivary Protein Analysis Using Polymer Microspheres and Fiber-optic Bundles

Published on: October 10, 2013

12.0K

Background-free upconversion-encoded microspheres for mycotoxin detection based on a rapid visualization method.

Minye Yang1, Meihui Cui1, Weixun Wang2

  • 1School of Life Sciences, Tianjin Engineering Center of Micro-Nano Biomaterials and Detection-Treatment Technology, Tianjin University, Tianjin, 300072, China.

Analytical and Bioanalytical Chemistry
|January 19, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multicolor upconversion nanocrystal (UCN)-encoded microsphere platform for rapid and accurate detection of mycotoxins ochratoxin A and zearalenone in food. The method offers a background-free fluorescence analysis, ensuring reliable food safety testing.

Keywords:
Background-free optical labelingFluorescence image analysisIndirect competitive immunoassaysMycotoxin detectionUpconversion-nanocrystal-encoded microspheres

More Related Videos

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.6K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.3K

Related Experiment Videos

Last Updated: Dec 30, 2025

Multiplexed Fluorescent Microarray for Human Salivary Protein Analysis Using Polymer Microspheres and Fiber-optic Bundles
08:50

Multiplexed Fluorescent Microarray for Human Salivary Protein Analysis Using Polymer Microspheres and Fiber-optic Bundles

Published on: October 10, 2013

12.0K
Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres
11:09

Multiplex Detection of Bacteria in Complex Clinical and Environmental Samples using Oligonucleotide-coupled Fluorescent Microspheres

Published on: October 23, 2011

16.6K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
08:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.3K

Area of Science:

  • Analytical Chemistry
  • Nanotechnology
  • Food Science

Background:

  • Mycotoxin detection is crucial for food safety due to significant health risks.
  • Current real-time sensing methods struggle with high background noise, limiting speed and accuracy.
  • Existing techniques often fail to meet the demands for rapid, accurate, and convenient food quality control.

Purpose of the Study:

  • To develop a quantitative fluorescence image analysis platform for detecting ochratoxin A and zearalenone.
  • To overcome the limitations of high background and low signal-to-noise ratio in mycotoxin detection.
  • To create a fast, accurate, and convenient method for multiple food contaminant testing.

Main Methods:

  • Construction of multicolor upconversion nanocrystal (UCN)-encoded microspheres.
  • Utilizing fluorescence microscopy with near-infrared and blue light excitation for distinct signal capture.
  • Development of a custom algorithm for rapid (10s) quantitative image analysis.

Main Results:

  • Achieved background-free encoding and detection signals using UCN-doped microspheres.
  • Demonstrated feasible and reliable fluorescence image measurements for mycotoxin quantification.
  • Established limits of detection: 0.34721 ng/mL for ochratoxin A and 0.41162 ng/mL for zearalenone.

Conclusions:

  • The UCN encoding strategy provides a robust platform for mycotoxin detection.
  • This novel method enables fast, accurate, and convenient testing of food contaminants.
  • The technology holds promise for enhancing overall food safety and quality control.