Electronic Nose Technology Based on Quantum Dot Filters

• 作者: Jie Bao Zhenan Li
• 来源期刊: 光学与光子学期刊(英文)
• 学科: 医学
• 关键词: Quantum DOTS SPECTRUM RGB FILTERS Pattern RECOGNITION
• 年，卷（期）: 2017,（8）
• 页码范围: 26-32
• 页数: 7页
• 分类号: R73

摘要

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.