Laboratory analysis by RAMAN Spectroscopy

Analysis by RAMAN Spectroscopy

RAMAN analysis or RAMAN Spectroscopy is a non-invasive vibrational method of spectroscopic analysis for the determination of the composition or the characteristics of a material.

Contrary to Fourier Transform Infrared Spectroscopy (FTIR) which is a method based on light absorption, RAMAN Spectroscopy is based on light diffusion which allows for a better resolution, making it possible to analyze smaller samples.

FILAB laboratory is able to assist industrialists with their various problems by providing RAMAN Spectroscopy analysis services

Whatever your field of industry (Chemicals, Pharmaceuticals, Cosmetics, Construction, Food Production), the expertise and the RAMAN analysis services offered by FILAB will allow you to analyze tiny contaminated areas on the surface of your materials.

FILAB has a complete analytical fleet spread over 2100m² of laboratory space, one part of which being dedicated RAMAN analysis. FILAB is able to provide the following services :

The positive aspects of FILAB

  • A highly qualified team

  • Responsiveness in responding to and processing requests

  • A complete analytical park of 2100m²

  • Tailor-made support

Raman spectroscopy is an analytical technique used to identify and characterise molecules. It measures changes in the inelastic scattering of monochromatic light, i.e. when a photon interacts with a molecule and causes it to vibrate. This interaction produces an optical signal that contains information about the molecular structure, such as bond strength, molecular symmetry and conformation. By deciphering this signal, Raman analysis obtains information about the composition of the sample being analysed.

 

Raman spectroscopy has become increasingly important for many different applications due to its ability to provide rapid and reliable analysis without damaging or altering samples, making it ideal for life science research and quality control and assurance testing in industry. The technique also provides information on the crystallinity, purity, phase and homogeneity of the sample. By combining various spectroscopic techniques such as infrared spectroscopy, X-ray diffraction and thermogravimetric analysis with RAMAN spectroscopy, researchers can obtain more detailed structural information about the analysed sample. RAMAN analysis is a powerful tool for research in fields such as materials science and biochemistry. In addition to laboratory applications, Raman spectroscopy is also used for clinical diagnosis and space exploration.

 

Raman spectroscopy is also advantageous because of its portability; it requires minimal sample preparation compared to other analytical techniques and can be performed using portable instruments. It is therefore ideal for field work or on-site measurements, as the standard operating conditions are very good.

 

Raman spectroscopy plays an important role in many industries and can be used to analyse a wide range of sample types. Industries such as pharmaceuticals, food and beverage, cosmetics, materials science and biochemistry are just some of the areas that benefit from this technology. Raman analysis allows researchers to quickly identify unknown compounds or confirm molecular structures in a variety of samples. Raman spectroscopy is useful for characterising catalysts and studying chemical reactivity. Its portability makes it ideal for field work or on-site measurements. The use of Raman spectroscopy in quality control and quality assurance testing has increased dramatically in recent years due to its accuracy, reliability and cost effectiveness.

Raman spectroscopy is based on the inelastic scattering of monochromatic light. When a sample is illuminated by a laser beam, certain particles interact with the molecules present and cause them to vibrate. This vibration produces an optical signal that contains information about the molecular structure. By analysing this signal, it is possible to obtain information about the composition and properties of the sample being analysed. The Raman spectrum produced by this process can be used to identify unknown compounds or confirm molecular structures. The use of filters and software algorithms allows weak signals to be amplified and background noise to be reduced, leading to more accurate results. Finally, data analysis techniques such as principal component analysis are used to interpret complex Raman spectra.

Thomas ROUSSEAU
Thomas ROUSSEAU Scientific and Technical Director
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