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相关概念视频

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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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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Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

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Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
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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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相关实验视频

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Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
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基于SWIR离散光谱方法的材料分类.

Anju Manakkakudy, Andrea De Iacovo, Emanuele Maiorana

    Applied optics
    |December 18, 2023
    PubMed
    概括

    这项研究引入了一种新的离散光谱法,用于识别塑料和玻璃等废物. 这种新的方法使用短波红外反射实现了高精度 (98%),为传统方法提供了切实可行的替代方案.

    科学领域:

    • 材料科学 材料科学 材料科学
    • 频谱学是一种光谱学.
    • 废物管理 废物管理

    背景情况:

    • 精确识别废物流中的原材料 (塑料,玻璃,,纸张) 对于有效的废物管理至关重要.
    • 传统的扩散反射光谱法面临的挑战是紧型光谱仪的成本和外部照明要求.

    研究的目的:

    • 提出一种用于废物识别的新型离散光谱法.
    • 通过利用短波红外 (SWIR) 反射来克服现有光谱技术的局限性.
    • 为废物分类开发一种实用且具有成本效益的解决方案.

    主要方法:

    • 使用单个光探测器和10个选定的发光二极管 (LED) 开发离散光谱系统.
    • 在短波红外光谱中利用一小组特定波长的短波红外光谱进行材料识别.
    • 采用支持矢量机 (SVM) 分类策略进行数据分析.

    主要成果:

    • 拟议的SWIR反射光谱法成功识别了七种不同的废物.
    • 实现了高分类准确度高达98%的废物材料识别.
    • 与传统方法相比,数据分析的复杂性有所降低.

    结论:

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    • 离散SWIR反射光谱法为废物识别提供了一个实用和准确的替代方案.
    • 该系统的设计,利用选定的LED和光探测器,具有成本效益和更简单的实施.
    • 这种方法通过精确的材料分类来提高废物管理流程的效率和有效性.