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Isolation and identification of bacteria by Raman Spectroscopy (CAT#: STEM-ST-0088-WXH)

Introduction

Bacterial detection is an issue-area which is of great importance for various aspects of modern life. The industrial production of food or pharmaceutical substances requires test procedures which will prevent spoiled or contaminated products from being placed on the market. The supply system for drinking water can be subject to bacterial contamination, too, and constant controls are necessary in order to ensure that the consumer won’t be exposed to any health risk. More examples of high significance can be found in the medical field. Of course, a timely identification of the source of an infection can be lifesaving for patients. But also strategies for improving hospital hygiene in general have received considerable attention lately. In addition, bacterial detection methods are of peculiar interest for the environment and agriculture, because the spread of plant pathogens for instance can not only endanger whole ecosystems, but can cause serious economic damage as well.




Principle

Raman Spectroscopy is a non-destructive chemical analysis technique which provides detailed information about chemical structure, phase and polymorphy, crystallinity and molecular interactions.
The principle behind Raman spectroscopy is that the monochromatic radiation is passed through the sample such that the radiation may get reflected, absorbed, or scattered. The scattered photons have a different frequency from the incident photon as the vibration and rotational property vary.

Applications

• Analysis of biocompatibility of a material.
• Analysis of nucleic acids.
• Study of interactions between drugs and cells.
• Photodynamic therapy (PDT).
• Analyzing metabolic accumulations of a substance or compounds.
• Diagnosis of disease.
• Analysis of individual cells.
• Cell sorting applications.
• Analyzing the features of biomolecules.
• Study of bone structure.

Procedure

1. Preparation of samples
2. Determine instrument parameters
3. Perform background scan
4. Test the sample
5. Data analysis

Materials

• Raman Spectrometer
• Raman Imaging Microscope
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