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Related Concept Videos

Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

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Molecules possess discrete energy levels called quantum states. Unlike atoms, which have simpler energy levels, molecules possess additional rotational and vibrational energy levels.  Each energy level is separated by an energy gap, with the gaps between adjacent electronic, vibrational, and rotational levels varying significantly. The three types of energy levels in a diatomic molecule are shown in Figure 1.
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UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

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In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this...
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Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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UV–Vis Spectroscopy of Conjugated Systems01:32

UV–Vis Spectroscopy of Conjugated Systems

6.9K
Organic compounds with conjugated double bonds show strong absorption features in the UV–visible region of the electromagnetic spectrum attributed to π → π* electronic excitations. Generally, a UV–vis absorption spectrum is recorded as a plot of absorbance vs wavelength. The wavelength of maximum absorbance, which manifests as a peak in the absorption spectrum, is denoted as λmax.
One of the factors influencing λmax is the extent...
6.9K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

296
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Spectroscopy of Carboxylic Acid Derivatives01:26

Spectroscopy of Carboxylic Acid Derivatives

2.2K
Infrared spectroscopy is primarily used to determine the types of bonds and functional groups. In carboxylic acid derivatives, a typical carbonyl bond absorption is observed around 1650–1850 cm−1. For esters, the absorption is recorded at around 1740 cm−1, while acid halides show the absorption at about 1800 cm−1. Another acid derivative, the acid anhydrides, exhibit two carbonyl absorption around 1760 cm−1 and 1820 cm−1, arising from the symmetrical and...
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Updated: Jun 5, 2025

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures
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Snapshot computational spectroscopy enabled by deep learning.

Haomin Zhang1, Quan Li1, Huijuan Zhao1

  • 1School of Materials Science and Engineering, Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, 210023, Nanjing, China.

Nanophotonics (Berlin, Germany)
|December 5, 2024
PubMed
Summary
This summary is machine-generated.

Computational spectroscopy uses a metasurface and deep learning for rapid material characterization. This technique achieves high spectral resolution and accuracy, offering a portable alternative to traditional spectrometers.

Keywords:
compressive sensingcomputational spectroscopydeep learningmetasurfaceminiature spectrometer

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Area of Science:

  • Optics and Photonics
  • Materials Science
  • Computational Science

Background:

  • Traditional spectroscopy relies on bulky, expensive equipment, limiting portable applications.
  • Miniaturized spectrometers are needed for emerging low-cost, lightweight sensing and imaging technologies.

Purpose of the Study:

  • To develop a computational spectroscopy method for single-shot, high-resolution material characterization.
  • To demonstrate the feasibility of a metasurface integrated spectrometer combined with deep learning.

Main Methods:

  • Development of a computational spectroscopy system using a metasurface.
  • Integration of deep learning algorithms for spectral reconstruction and data analysis.
  • Application to characterize optical cavities and chemical solutions.

Main Results:

  • Achieved sub-nanometer spectral resolution and high accuracy (average reconstruction error of 0.4 nm).
  • Demonstrated precise characterization of optical cavity length (0.53% MSE) and solution concentration (1.21% MSE).
  • Validated the method's capability for direct materials characterization.

Conclusions:

  • Computational spectroscopy offers a viable, accurate alternative to traditional methods.
  • The developed system enables convenient and rapid material characterization in diverse scenarios.
  • Metasurface integration and deep learning pave the way for advanced portable spectroscopic devices.