Determination of the Dispersion Characteristics of Miniaturized Coiled Reactors with Fiber-Optic Fourier Transform Mid-infrared Spectroscopy

2010 ◽  
Vol 49 (12) ◽  
pp. 5530-5535 ◽  
Author(s):  
Clemens B. Minnich ◽  
Frank Sipeer ◽  
Lasse Greiner ◽  
Marcel A. Liauw
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fiber Optic ◽  
Dispersion Characteristics ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy

Meat Science ◽  
2005 ◽  
Vol 69 (3) ◽  
pp. 433-440 ◽  
Author(s):  
Audun Flåtten ◽  
Eli A. Bryhni ◽  
Achim Kohler ◽  
Bjørg Egelandsdal ◽  
Tomas Isaksson
Keyword(s):  
Fatty Acids ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pork Fat

scholarly journals Determination of Iron in Vegetable Oil by Fourier Transform Mid-Infrared Spectroscopy

2018 ◽  
Vol 10 (3) ◽  
pp. 81
Author(s):  
Pedro S. Panero ◽  
Francisco S. Panero ◽  
Jose C. S. Oliveira ◽  
João S. Panero ◽  
Anderson L. Ramos ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Vegetable Oil ◽  
Attenuated Total Reflection ◽  
Data Set ◽  
Prediction Ability ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
The Mean

The potential of Fourier transform mid-infrared spectroscopy with attenuated total reflection (FTIR-ATR) for the quantification of iron (Fe) in vegetable oil extracted from the fruit of the moriche palm (buriti) [Mauritia flexuosa] was evaluated. This green method enables direct measurements without previous sample handling. Twenty-five buriti samples were collected in Roraima (Brazil). The statistical models were developed using the technique of partial least squares (PLS) analysis and the data set was divided into two parts: one used for calibration (n = 20) and one used for testing (n = 5). First, the model was calibrated and cross-validated with the calibration data set so that the model was validated with the test data set to verify its prediction ability. To obtain reference data, the samples were analyzed by X-ray fluorescence (EDXRF). The coefficient of determination (R2) was 0.9965 and the mean square error of prediction (RMSEP) obtained for iron (Fe) was 0.8067 (in ppm). The results showed that the prediction ability can be considered good for large quantification of iron intervals in vegetable oil, and the mean relative errors were less than ±7%. This indicated that the green method for the determination of iron (Fe) in vegetable oil by Fourier transform mid-infrared spectroscopy with attenuated total reflection can be used as an alternative method to the classic methods of analysis, because it does not use reagents harmful to the environment or operator, does not generate harmful waste, uses a fast technique, and there is minimal manipulation of the sample.

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata
Keyword(s):  
Infrared Spectroscopy ◽  
Raw Material ◽  
Material Source ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy
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