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Omnic thermo scientific software

Manufactured by Thermo Fisher Scientific
Sourced in United States

The Omnic/Thermo Scientific software is a powerful tool for data analysis and processing of spectroscopic data. It provides a user-friendly interface for the management and manipulation of spectroscopic data, allowing users to perform a variety of analytical tasks.

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2 protocols using omnic thermo scientific software

1

Yeast Chemical Composition Analysis via FT-Raman

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The analysis of the chemical composition of the yeast was performed using a Nicolet NXR 9650 FT-Raman Spectrometer (HAMAMATSU PHOTONICS Europe GmbH, Herrsching, Germany) equipped with an Nd: YAG laser 1064 nm and an InGaAs detector. Before the measurements, the yeast samples were lyophilized. FT-Raman spectra were measured in the range from 400 cm−1 to 2000 cm−1 using 64 scans with 8 cm−1 spectral resolution at a laser power of 0.5 W. The results are shown on the averaged spectra with 6 independent repetitions. Raman spectra were analysed by the Omnic/Thermo Scientific software (Thermo Fisher Scientific, Waltham, MA, USA), whereas baseline correction and normalization of the obtained spectra were performed using OPUS 7.0 software (Bruker Corporation, Billerica, MA, USA).
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2

FT-Raman Spectroscopy for Material Analysis

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An FT-Raman spectra measurement was performed using a Nicolet NXR 9650 FT-Raman Spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) with Nd: YAG laser source (1064 nm) and a Germanium detector. A spectral range of 150 to 3700 cm−1 and a laser power of 500 mW were used. This power was constant for each sample and each measurement. An unfocused laser beam was used of approximately 100 μm in diameter and a spectral resolution of 8 cm−1. Raman spectra were processed using the Omnic/Thermo Scientific software (Thermo Fisher Scientific) based on 64 scans for measurements, which means the number of scans performed on one spot was 64, and the obtained spectrum was an average of these scans. All spectra were smoothed using the Savitzky–Golay algorithm for 7 points. Moreover, all spectra were normalized using vector normalization. Additionally, baseline corrections using a Rubberband correction were done. All these operations were performed using OPUS software (Bruker Optik GmbH, Ettlingen, Germany). Moreover, each sample was measured three times in three different places. Next, the spectra were averaged and this average was used for statistical analysis.
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