Analysis of SCS-6 silicon carbide fibers by Fourier transform infrared spectroscopy

1997 ◽  
Vol 12 (2) ◽  
pp. 329-331
Author(s):  
S. Krishnamurthy
Keyword(s):  
Silicon Carbide ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ftir Spectroscopy ◽  
Fourier Transform Infrared ◽  
Spectroscopy Analysis ◽  
Silicon Carbide Fibers ◽  
Low Levels ◽  
Reported Data ◽  
No Absorption

Fourier transform infrared (FTIR) spectroscopy analysis of SCS-6 silicon carbide fibers was performed to detect the presence of oxygen in the form of SiO2. The results showed infrared peaks corresponding to SiC fundamental lattice absorption as well as reflection. No absorption peak due to SiO2 was observed. These results are in agreement with previously reported data indicating low levels of oxygen in this fiber.

scholarly journals Integrated Band Intensities of Ethylene (C212H4) by Fourier Transform Infrared Spectroscopy

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
G. B. Lebron ◽  
T. L. Tan
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ambient Temperature ◽  
Ftir Spectroscopy ◽  
Fourier Transform Infrared ◽  
Vapor Pressures ◽  
Infrared Band ◽  
Combination Bands ◽  
First Time ◽  
Absorbance Spectra

The integrated band intensities of ethylene (12C2H4) in the 640–3260 cm−1 region were determined by Fourier transform infrared (FTIR) spectroscopy. The infrared absorbance spectra of the ν7 and ν10, ν12, ν7+ν8, ν6+ν10, v11, and ν9 and ν2+ν12 bands of ethylene recorded at a resolution of 0.5 cm−1 were measured at an ambient temperature of 296 K at various vapor pressures ranging from 3×10−5 to 1×10−3 atm to obtain respective Beer-Lambert's law plots. The measured integrated band intensities in cm−1/cm atm were S(ν9andν2+ν12)=112.20±0.24, S(ν11)=55.35±0.14, S(ν12)=41.22±0.30, and S(ν7andν10)=328.66±16.55. In addition, the measured infrared band intensities of the ν7+ν8 and ν6+ν10 combination bands of ethylene are reported for the first time: S(ν7+ν8)=21.701±0.028 cm−1/cm atm and S(ν6+ν10)=2.568±0.025 cm−1/cm atm.

A Conversion and Tribology Investigation on Used Ayurvedic Oil

2015 ◽  
Vol 813-814 ◽  
pp. 885-889 ◽  
Author(s):  
Ranganathan Balakumar ◽  
G. Sriram ◽  
S. Arumugam ◽  
V. Abhijith Koushal ◽  
Villa Sai Surya Venkatesh
Keyword(s):  
Fourier Transform ◽  
Methyl Ester ◽  
Ftir Spectroscopy ◽  
Diesel Fuel ◽  
Alternative Fuels ◽  
Fourier Transform Infrared ◽  
Wear Scar ◽  
Spectroscopy Analysis ◽  
Ic Engine ◽  
The Fourier Transform

Biofuel plays a major role in IC engine nowadays. Used Ayurvedic Oil (UAO) is one among the alternative fuels utilized. The preliminary property studies were carried out and the UAO had undergone simple Transesterification process to be converted to Used Ayurvedic Oil Methyl Ester (UAOME). The Fourier Transform Infrared (FTIR) spectroscopy analysis confirmed the UAO to UAOME conversion. The Trobological investigation on UAOME is also conducted using Four Ball Wear Tester. The results showed that lower wear scar was observed in UAOME comparatively with diesel. From the results it is clear that the UAO can be a novel partial substitute for diesel fuel.

Influence of cell parameters in Fourier transform infrared spectroscopy analysis of whole yeast cells

The Analyst ◽  
2011 ◽  
Vol 136 (11) ◽  
pp. 2339 ◽  
Author(s):  
Laura Corte ◽  
Livio Antonielli ◽  
Luca Roscini ◽  
Fabrizio Fatichenti ◽  
Gianluigi Cardinali
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Fourier Transform Infrared ◽  
Yeast Cells ◽  
Spectroscopy Analysis ◽  
Cell Parameters

scholarly journals Detection of Lard in Ink Extracted from Printed Food Packaging Using Fourier Transform Infrared Spectroscopy and Multivariate Analysis

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Syazwani Ramli ◽  
Rosnita A. Talib ◽  
Russly A. Rahman ◽  
Norhazlin Zainuddin ◽  
Siti Hajar Othman ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Ftir Spectroscopy ◽  
Food Packaging ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Calibration Standards ◽  
Number Of Factors

Fourier transform infrared (FTIR) spectroscopy combined with chemometrics was utilised to discriminate the presence of lard in extracted ink of printed food packaging. Two spectral regions (full spectra, 3999–649 cm−1, and combination of two regions, 3110–2630 cm−1and 1940–649 cm−1) of lard, commercial gravure ink, and the blends of both were selected and used to develop a Soft Independent Modelling of Class Analogy (SIMCA) model. The score plots obtained from the Principal Component Analysis (PCA) revealed that the maximum number of factors (7 factors) was needed to explain 84% of the total variance. SIMCA was employed as the method to classify the samples into their specific groups.SiversusHiplots showed that the calibration standards can be classified as lard-containing standards. Sample 2 was deduced to have the highest possibility of containing lard, while only samples 5 and 7 cannot be classified as lard-containing samples. These results demonstrated that FTIR spectroscopy, when combined with multivariate analysis, can provide a rapid method with no excessive sample preparation to detect the presence of lard in ink of foodstuff packaging.

Sign in / Sign up

Export Citation Format

Share Document