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Tang, K.T., Chiu, S.W., Pan, C.H., Hsieh, H.Y., Liang, Y.S. and Liu, S.C. (2010) Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors. Sensors, 10, 9179-9193. https://doi.org/10.3390/s101009179

has been cited by the following article:

• TITLE: Electronic Nose Technology Based on Quantum Dot Filters

  AUTHORS: Zhenan Li, Jie Bao

  KEYWORDS: Quantum Dots, Spectrum, RGB Filters, Pattern Recognition

  JOURNAL NAME: Optics and Photonics Journal, Vol.7 No.8B, August 10, 2017

  ABSTRACT: The electronic nose with chemical dyes as sensor can react with target gas and have specific color changes. In general, RGB camera collects a group of images to record these changes used for pattern recognition. RGB filters are not sensitive to the slight color changes, which limits the performance of this kind of electronic nose. This paper demonstrates using quantum dot spec-troscopy technology to solve this problem. Multiple quantum dot filters are placed on the surface of image sensor. When capturing images, there are more response channels of the same incident light than RGB filters. Simulation and experiment both prove that quantum dot filters with appropriate processing are more sensitive to color changes than RGB filters.