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Related Concept Videos

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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Raman Spectroscopy Instrumentation: Overview01:26

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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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Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

2.0K
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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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

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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.
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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Artificial Intelligence-Powered Raman Spectroscopy through Open Science and FAIR Principles.

Nicolas Coca-Lopez1, Victor Alcolea-Rodriguez2,3, Miguel A Bañares1

  • 1Instituto de Catalisis y Petroleoquimica (ICP), CSIC, Madrid 28049, Spain.

ACS Nano
|October 27, 2025
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Summary
This summary is machine-generated.

Digitalization and open science are crucial for advancing Raman spectroscopy, enabling robust AI integration. Implementing FAIR data principles and standardized workflows will unlock the technique's full potential across scientific disciplines.

Keywords:
FAIR principleschemometricsdata structuredatabasesdigitalizationhardwaremachine learningopen sourcesoftwarestandards

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Biomedicine

Background:

  • Raman spectroscopy is a rapidly advancing analytical technique with broad applications.
  • Growth is fueled by instrumentation, chemometrics, and artificial intelligence (AI).
  • Challenges in data acquisition, processing, interpretation, and sharing limit its full potential.

Purpose of the Study:

  • To review the role of digitalization, Open Science, and FAIR data in Raman spectroscopy.
  • To explore digital tools, open resources, and AI applications in the field.
  • To propose a roadmap for an open and FAIR ecosystem for Raman spectroscopy.

Main Methods:

  • Review of current digital tools and open resources in Raman spectroscopy.
  • Assessment of trends in hardware, software, and AI applications.
  • Analysis of challenges in data quality, model interpretability, and interoperability.

Main Results:

  • The field of Raman spectroscopy is fragmented, with isolated initiatives hindering progress.
  • AI shows promise for data collection, analysis, and predictive modeling but faces challenges.
  • Standardized data formats, metadata, and ontologies are critical for interoperability and collaboration.

Conclusions:

  • A concerted effort toward digitalization and FAIR data principles is essential for robust Raman spectroscopy workflows.
  • Addressing fragmentation and promoting standardized, open resources will accelerate progress.
  • Developing a sustainable, collaborative ecosystem is key to unlocking the full potential of Raman spectroscopy with AI.