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IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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Updated: Jul 3, 2025

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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废物分类:基于发光二极管的短波红外离散光源方法.

Anju Manakkakudy1, Andrea De Iacovo1, Emanuele Maiorana1

  • 1Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, 00146 Rome, Italy.

Sensors (Basel, Switzerland)
|February 10, 2024
PubMed
概括

本研究介绍了一种用于废物分类的低成本光学反射系统. 该系统有效地以高精度分离塑料,纸张,玻璃和,有助于废物管理.

关键词:
一个夫,一个夫.离散光谱学是一种离散的光谱学.功能选择 功能选择材料的分类材料的分类.这是一个光学传感器.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 环境工程 环境工程
  • 光学工程是指光学工程.

背景情况:

  • 有效的废物分类对于有效的废物管理和回收利用至关重要.
  • 目前的系统经常面临成本和复杂性的挑战.
  • 越来越需要可访问和负担得起的废物分离技术.

研究的目的:

  • 开发一个简单,紧,低成本的废物分类系统.
  • 为了利用短波红外光谱中的光学反射度测量来进行材料分离.
  • 展示一种用于识别常见废物材料的实际解决方案.

主要方法:

  • 该系统采用一组最小的发光二极管 (LED) 和单一的宽带光电探测器.
  • 光学反射率测量是在短波红外范围进行的.
  • 低成本,低功耗的电子设备控制了系统,数据通过计算机接口进行管理.

主要成果:

  • 该分类系统在七种不同的废物中达到高达94.3%的准确性.
  • 除了最具挑战性的材料外,准确性增加到97.0%.
  • 该系统成功地分离了塑料,纸张,玻璃和.

结论:

  • 开发的光学反射系统为废物分类提供了可行的低成本解决方案.
  • 这种概念验证证明了未来在自动化废物管理方面的进步的潜力.
  • 该系统的简单性和有效性使其适合广泛采用.