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Updated: Oct 7, 2025

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Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
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A photoprogrammable electronic nose with switchable selectivity for VOCs using MOF films
Peng Qin1, Salih Okur1, Chun Li1
1Karlsruhe Institute of Technology (KIT), Institute of Functional Interfaces (IFG) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Lars.Heinke@kit.edu.
Chemical Science
|January 10, 2022
Summary
This study introduces a novel electronic nose (e-nose) using light-responsive metal-organic frameworks (MOFs). The e-nose
Area of Science:
- Materials Science
- Chemical Sensing
- Nanotechnology
Background:
- Advanced analytical applications demand adaptable smart materials and sensor systems.
- Reversible photochemistry in nanoporous materials offers a pathway for tunable sensor selectivity.
- Photoresponsive materials enable dynamic configuration of sensor arrays for specific tasks.
Purpose of the Study:
- To develop a sensor array with light-controlled selectivity for molecular sensing.
- To investigate the use of photoresponsive metal-organic frameworks (MOFs) in an electronic nose (e-nose).
- To demonstrate the potential of optically configurable materials for intelligent molecular sensing.
Main Methods:
- Fabrication of an e-nose using MOFs functionalized with photoresponsive fluorinated azobenzene groups.
- Modulation of the azobenzene trans-cis isomer ratio using light irradiation to define sensor states.
- Gravimetric monitoring of molecular uptake using a four-channel quartz-crystal microbalance (QCM) and analysis with machine-learning algorithms.
Main Results:
- The sensor array's selectivity was reversibly controlled by light irradiation, altering VOC affinity.
- Programming the e-nose with different light colors enhanced selectivity and reduced cross-sensitivity.
- The photoprogrammed e-nose achieved perfect identification of tested volatile organic compounds (VOCs).
Conclusions:
- Photoswitchable MOFs offer a promising platform for developing optically configurable e-noses.
- This approach enables intelligent molecular sensing with tunable selectivity.
- The concept is applicable to various sensing materials and photoswitches beyond azobenzene-MOFs.
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