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Published on: June 8, 2011
Sampling analytes from cheese products for fast detection using neutral desorption extractive electrospray ionization
Zhongchen Wu1, Konstantin Chingin, Huanwen Chen
1Department of Applied Chemistry, East China Institute of Technology, Fuzhou 344000, China.
Analytical and Bioanalytical Chemistry
|April 24, 2010
Summary
This study introduces neutral desorption extractive electrospray ionization mass spectrometry (ND-EESI-MS) for rapid, nondestructive food analysis. The technique successfully differentiates cheese types based on their mass-spectral fingerprints without sample preparation.
Area of Science:
- Analytical Chemistry
- Food Science
- Mass Spectrometry
Background:
- High-throughput, nondestructive food analysis methods are increasingly important.
- Current techniques often require sample pretreatment, limiting speed and increasing contamination risk.
Purpose of the Study:
- To develop and validate a rapid, sensitive, and nondestructive method for analyzing cheese products.
- To assess the capability of ND-EESI-MS for differentiating cheese types based on mass-spectral data.
Main Methods:
- Utilized neutral desorption extractive electrospray ionization mass spectrometry (ND-EESI-MS) in negative ion mode.
- Analyzed mass-spectral fingerprints of 49 cheese samples (four types) from m/z 50-300 Da without pretreatment.
- Employed Principal Component Analysis (PCA) for sample classification.
Main Results:
- ND-EESI-MS directly sampled volatile and nonvolatile analytes from greasy cheese surfaces.
- Reproducible results were achieved under optimized conditions.
- PCA successfully classified cheese samples by type, with principal components 2, 3, and 4 showing strong discriminatory power.
Conclusions:
- ND-EESI-MS offers a sensitive, direct, and safe method for high-throughput food analysis.
- The technique avoids chemical contamination and extensive sample preparation.
- While effective for cheese type classification, it could not distinguish distributors or sensory properties.
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