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Updated: Sep 29, 2026

Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
A Dual Approach Combining Metal-Organic Frameworks and Commercial Solid-Phase Microextraction Coatings for Monitoring
Montse Saura-Cayuela1,2, Martina Rosso1,3, Cecilia Cagliero3
1Laboratorio de Materiales para Análisis Químico (MAT4LL), Departamento de Química, Facultad de Ciencias, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain.
Abstract:
This study presents the applicability of a solid-phase microextraction (SPME) coating based on the CIM-80(Al) metal-organic framework (MOF), prepared by in situ solvothermal growth onto braided silver wires, for the untargeted analysis of passion fruit juices. After the characterization of the MOF-coated fiber by Fourier-transform infrared spectroscopy, scanning electron microscopy, and powder X-ray diffraction, it was applied in both headspace (HS)- and direct immersion (DI)- SPME in combination with gas chromatography-mass spectrometry. The studies were carried out in comparison with three commercial SPME fibers. Considering all the fibers studied, up to 52 and 26 compounds were tentatively identified via HS- and DI-SPME, respectively. Besides, all fibers presented adequate reproducibility and similar lifetime, even in the DI mode and despite the sample complexity. In HS-SPME, a total of 25 compounds were tentatively identified with the MOF-coated fiber. From these analytes, 10 compounds (∼42%) were exclusively detected with the MOF-coated fiber. In DI-SPME, 10 compounds were tentatively identified with the MOF-coated fiber, and four of these compounds (∼50%) were exclusively detected with this fiber. Overall, the results indicate that the MOF-coated fiber offers a superior selectivity for heavier, less volatile, and less polar analytes, therefore acting as a complementary tool for commercial coatings when intending metabolomic studies for food analysis. The dual approach with MOF-coated fiber and commercial SPME coatings provides more comprehensive information for food analysis.
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