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Related Concept Videos

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.
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Raman Spectroscopy: Overview01:20

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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.
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For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
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Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
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Related Experiment Video

Updated: Jun 13, 2025

A Filter-based Surface Enhanced Raman Spectroscopic Assay for Rapid Detection of Chemical Contaminants
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Surface enhanced transmission Raman spectroscopy: Quantitative performances for impurity analysis in complex

Julie Horne1, Pierre Beckers1, Pierre-Yves Sacré2

  • 1University of Liege (ULiege), CIRM, ViBra-Sante hub, Laboratory of Pharmaceutical Analytical Chemistry, Department of Pharmacy, Liege, Belgium.

Journal of Pharmaceutical and Biomedical Analysis
|September 12, 2024
PubMed
Summary
This summary is machine-generated.

Transmission Surface-Enhanced Raman Spectroscopy (SETRS) offers a feasible method for analyzing impurities in pharmaceutical products. This technique demonstrates reliable quantification in complex matrices, paving the way for advanced analytical applications.

Keywords:
Analytical performancesAssay’Complex matrixImpuritySurface enhanced transmission Raman spectroscopy (SETRS)Total error risk-based approach

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • Surface-Enhanced Raman Spectroscopy (SERS) is a powerful technique for molecular detection.
  • Traditional SERS often utilizes backscattering detection modes.
  • Exploring alternative detection modes like transmission can enhance analytical capabilities.

Purpose of the Study:

  • To investigate and validate a transmission detection mode for SERS analyses (SETRS).
  • To compare the performance of transmission versus backscattering detection in SERS.
  • To evaluate the analytical performance of SETRS for quantitative impurity analysis in pharmaceuticals.

Main Methods:

  • Investigated Surface-Enhanced Raman Spectroscopy (SERS) using a transmission detection mode (SETRS).
  • Compared transmission and backscattering detection modes for SERS feasibility.
  • Examined the influence of sample volume, collection optics, laser beam size, and laser power on SERS signal.
  • Quantified 4-aminophenol impurity in a pharmaceutical product using SETRS and a total error risk-based approach.
  • Employed univariate (quadratic regression) and multivariate (partial least square regression) spectral analysis methods.

Main Results:

  • Demonstrated the feasibility of performing SERS analyses using a transmission detection mode (SETRS).
  • Identified key parameters affecting SERS signal intensity in the transmission mode.
  • Successfully quantified an impurity (4-aminophenol) in a commercial pharmaceutical product with SETRS.
  • Showcased the robustness of SETRS by using multiple batches, days, and operators.
  • Partial least square regression provided a robust multivariate approach for spectral analysis.

Conclusions:

  • SETRS is a viable and effective method for quantitative analysis of impurities in complex matrices.
  • The study validates SETRS for routine pharmaceutical analysis, offering new perspectives for quantitative applications.
  • This work highlights the potential of transmission detection in SERS for enhanced analytical performance.