Related Concept Videos
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Parameter Efficient Deep Learning Models for Multi-Target Binding Affinity and hERG Cardiotoxicity Prediction.
NbBayesLM: bayesian prediction of nanobody thermostability using protein language model.
The evolution of mosquito baiting: from chemical and electronic methods toward AI.
Related Experiment Video
Updated: Oct 18, 2025
![Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F59399.jpg&w=3840&q=75)
Measuring the Spin-Lattice Relaxation Magnetic Field Dependence of Hyperpolarized [1-13C]pyruvate
Published on: September 13, 2019
Detecting Dye-Contaminated Vegetables Using Low-Field NMR Relaxometry.
Sumaiya Shomaji1, Naren Vikram Raj Masna1, David Ariando1
1Department of Electrical and Computer Engineering, University of Florida, 216 Larsen Hall, P.O. Box 116200, Gainesville, FL 32611, USA.
Harmful dyes in vegetables pose a health risk. This study uses 1H-nuclear magnetic resonance (NMR) relaxometry to detect and quantify these non-food-grade adulterants, ensuring food safety.
More Related Videos
09:25Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments
Published on: November 1, 2024
09:37Preparation of Fungal and Plant Materials for Structural Elucidation Using Dynamic Nuclear Polarization Solid-State NMR
Published on: February 12, 2019
Area of Science:
- Food Science
- Analytical Chemistry
- Public Health
Background:
- Non-food-grade dyes like copper sulfate, malachite green, and Sudan red are illegally used to enhance vegetable appearance.
- Consumption of these dyed vegetables presents significant health risks, including potential carcinogenicity.
- Ensuring the safety of the food supply chain requires reliable methods for detecting such adulteration.
Purpose of the Study:
- To develop and validate a method for detecting and quantifying harmful dye adulteration in vegetables.
- To establish 1H-nuclear magnetic resonance (NMR) relaxometry as a tool for food safety analysis.
- To provide a rapid and low-cost detection approach for use throughout the produce supply chain.
Main Methods:
- Vegetables were treated with various non-food-grade dyes and extracted using different solvents.
- 1H-nuclear magnetic resonance (NMR) relaxometry, specifically employing the Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence, was used to analyze the solutions.
- The effective transverse relaxation time constant (T2) was measured and compared against a library of dye-specific T2 data.
Main Results:
- The NMR relaxometry technique successfully detected and quantified the presence of specific dyes in vegetable samples.
- The method demonstrated the ability to differentiate between various dye concentrations based on their unique T2 signatures.
- Analysis time was found to be rapid, typically within minutes, depending on the specific dye.
Conclusions:
- 1H-NMR relaxometry offers a viable, low-cost, and rapid method for detecting and quantifying harmful dye adulteration in vegetables.
- The technique can generate warning flags for non-compliant dye levels, contributing to enhanced food safety.
- This approach is applicable across various points in the food supply chain, from production to consumer households.