Related Experiment Video
Updated: Mar 8, 2026
09:46
Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
Published on: May 19, 2019
8.7K
Multivariate optimization of headspace trap for furan and furfural simultaneous determination in sponge cake
Mayela Cepeda-Vázquez1, David Blumenthal1, Valérie Camel1
1UMR Ingénierie Procédés Aliments, AgroParisTech, Inra, Université Paris-Saclay, 91300 Massy, France.
Talanta
|January 22, 2017
Summary
A new headspace trap (HS trap) method coupled with GC-MS accurately quantifies furan and furfural in processed foods. This advancement aids in monitoring food safety and quality by measuring these key aroma and potentially carcinogenic compounds.
Area of Science:
- Food Chemistry
- Analytical Chemistry
- Food Safety and Quality
Background:
- Furan and furfural are process-induced compounds found in thermally treated foods, impacting aroma and potentially posing health risks.
- These compounds serve as crucial markers for food safety and quality assessment.
- Simultaneous quantification is essential for developing mitigation strategies and preserving food's sensory attributes.
Purpose of the Study:
- To develop and optimize a reliable and sensitive method for the simultaneous quantification of furan and furfural in solid processed foods.
- To apply the optimized method to various sponge cake samples with differing characteristics.
Main Methods:
- Development of a headspace trap (HS trap) extraction technique.
- Coupling HS trap with Gas Chromatography-Mass Spectrometry (GC-MS) for simultaneous analysis.
- Optimization of HS trap extraction using an optimal design of experiments (O-DOE) approach, considering multiple variables and a blocking factor.
- Multicriteria and multiple response optimization using a desirability function.
Main Results:
- Optimized HS trap conditions: 65°C thermostatting temperature, 15min thermostatting time, 4 pressurization cycles, 0.9min dry purge time, a water/sample ratio of 16, and a total amount of 10g.
- Excellent method performance: Repeatability (RSD ≤ 3.3% for furan, ≤ 2.6% for furfural), intermediate precision (RSD ≤ 4.3%), and linearity (R² ≥ 0.9957).
- Low limits of detection (LOD) and quantification (LOQ) were achieved for both analytes, with a matrix effect noted primarily for furan.
Conclusions:
- The developed HS trap-GC-MS method is a unique, reliable, and sensitive tool for simultaneous furan and furfural quantification in solid processed foods like sponge cake.
- The optimized method demonstrates robust performance and is suitable for application to diverse food matrices.
- This analytical advancement supports better food safety monitoring and quality control strategies.
