640 ft ir spectrometer
The 640 FT-IR spectrometer is a laboratory instrument designed for infrared spectroscopy analysis. It utilizes Fourier transform infrared (FT-IR) technology to measure the absorption and emission characteristics of a sample within the infrared region of the electromagnetic spectrum.
Lab products found in correlation
8 protocols using 640 ft ir spectrometer
Characterization of Catalytic Oxidation
Comprehensive Characterization of MWCNT Samples
Characterization of Synthesized Materials
Synthesis and Characterization of Ligand L
Structural and Thermal Analysis of Powder Compounds
structure was characterized by XRD using a PANalytical X-ray diffractometer
equipped with CuKα radiation. Infrared spectra were recorded
on a Varian 640 FTIR spectrometer in KBr pellets within the range
of 500–4000 cm–1. Thermal analysis was run
on a Shimadzu thermogravimetric analyzer (TGA) at a heating rate of
10 °C min–1 in a nitrogen atmosphere. IR samples
were prepared as discs obtained from a 200 mg aliquot of the powder
mixture (KBr/CP I = 100:1) desiccated for 30 min. IR spectra were
obtained using a Nicolet Magna 550 II FT-IR spectrophotometer within
the wavelength range of 4000–400 cm–1. UV/vis
absorption spectroscopy was performed with a Hitachi U-3010 spectrophotometer.
For the electrochemical study, the cyclic voltammetry curves were
acquired with an electronic assembly of a potentiostat/galvanostat
Volta Lab PGZ301 assisted by a computer and a measuring cell.
Synthesis and Characterization of 3-dpyb Ligand
Optimized FTIR Spectral Data Preprocessing
As the measurements had different intervals and offsets due to differences in software version and settings, we homogenized the data so that every spectrum had a step size of 1 cm -1 . This was done by a cubic spline interpolation on the available data. As not all data were collected over the range of 200 cm -1 to 7000 cm -1 , we padded the missing values with zeroes. Further, any spectra that had a measurement with a value smaller than -5 or greater than 10 were dropped as these values were extreme outliers and not in the expected range of the measurement. This filtering reduced the data set by less than 1%. The resulting spectral data consisted of 6801 data points per measurement.
FTIR Spectroscopy of Thermally Induced Changes
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