Related Experiment Video
Updated: Dec 9, 2025

12:02
Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
Published on: April 11, 2016
11.8K
Highly Sensitive Fluorescence Sensor for Carrageenan from a Composite Methylcellulose/Polyacrylate Membrane
Riyadh Abdulmalek Hassan1,2, Lee Yook Heng1,3, Ling Ling Tan3
1School of Chemical Sciences and Food Technology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia.
Sensors (Basel, Switzerland)
|September 9, 2020
Summary
A new optical sensor simplifies carrageenan detection in food. This sensitive method uses a composite membrane to accurately measure carrageenan levels, ensuring food safety.
Area of Science:
- Analytical Chemistry
- Polymer Science
- Food Science
Background:
- Carrageenans, widely used food additives, pose potential health risks.
- Existing carrageenan determination methods can be complex and time-consuming.
- Development of a simpler, more sensitive analytical technique is needed.
Discussion:
- A novel optical sensor was developed using a methylcellulose/poly(n-butyl acrylate) composite membrane with immobilized methylene blue.
- The composite membrane's insolubility and methylene blue immobilization enable sensitive carrageenan detection.
- The sensor demonstrates a linear response to carrageenan concentrations (1.0-20.0 mg L⁻¹) with a low detection limit (0.4 mg L⁻¹).
Key Insights:
- The developed optical sensor offers high sensitivity and selectivity for carrageenan analysis.
- Accurate carrageenan quantification was validated with high recovery rates (90-102%) in spiked fruit juice samples.
- This method provides a simple, rapid, and sensitive alternative to sophisticated carrageenan determination techniques.
Outlook:
- Potential for integration into routine food quality control and safety assessments.
- Further research could explore sensor adaptability for other polysaccharide analyses.
- This technology paves the way for more accessible and efficient food additive monitoring.

