Quantitative analysis of sulfathiazole polymorphs in ternary mixtures by attenuated total reflectance infrared, near-infrared and Raman spectroscopy

2010 ◽  
Vol 53 (3) ◽  
pp. 412-420 ◽  
Author(s):  
Yun Hu ◽  
Andrea Erxleben ◽  
Alan G. Ryder ◽  
Patrick McArdle
Keyword(s):  
Raman Spectroscopy ◽  
Quantitative Analysis ◽  
Near Infrared ◽  
Ternary Mixtures ◽  
Attenuated Total Reflectance ◽  
Total Reflectance ◽  
Infrared And Raman Spectroscopy

Quantitative Analysis of Cholesterol and Cholesterol Ester Mixtures Using Near-Infrared Fourier Transform Raman Spectroscopy

1996 ◽  
Vol 50 (10) ◽  
pp. 1253-1257 ◽  
Author(s):  
P. Le Cacheux ◽  
G. Menard ◽  
H. Nguyen Quang ◽  
P. Weinmann ◽  
M. Jouan ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Fourier Transform ◽  
Quantitative Analysis ◽  
Near Infrared ◽  
Quantitative Information ◽  
Ternary Mixtures ◽  
Synthetic Sample ◽  
Nondestructive Technique ◽  
Fourier Transform Raman Spectroscopy ◽  
Fourier Transform Raman

Near-infrared Fourier transform Raman spectroscopy is a rapid and nondestructive technique that can provide reliable qualitative in situ information about the chemistry of biological samples. We have combined this technique with partial least-squares (PLS) regression to perform a quantitative determination of free and esterified cholesterol in two synthetic sample series. In 66 ternary mixtures containing various proportions of cholesterol, cholesterol linoleate, and oleate, the standard errors of prediction were 1.27, 1.17, and 0.94%, respectively. For the second series of experiments concerning the sensitive problem of quantitative analysis of cholesterol palmitate and stearate mixtures, the standard error of prediction for 49 samples was 3.02%. It is also possible to extract quantitative information for a single component of the ternary mixtures independently. These results are of great importance when—as in the case of arterial samples—many chemical species are present. Comparison between Raman spectra of ternary mixtures and atherosclerotic rabbit aorta shows that many bands, assignable to free and esterified cholesterol, are easily observed in the aorta spectrum.

scholarly journals Comparison of Attenuated Total Reflectance Mid-Infrared, Near Infrared, and 1H-Nuclear Magnetic Resonance Spectroscopies for the Determination of Coffee’s Geographical Origin

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Jessica Medina ◽  
Diana Caro Rodríguez ◽  
Victoria A. Arana ◽  
Andrés Bernal ◽  
Pierre Esseiva ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Near Infrared ◽  
Geographical Origin ◽  
Fraud Detection ◽  
Attenuated Total Reflectance ◽  
Mid Infrared ◽  
Total Reflectance ◽  
H Nmr

The sensorial properties of Colombian coffee are renowned worldwide, which is reflected in its market value. This raises the threat of fraud by adulteration using coffee grains from other countries, thus creating a demand for robust and cost-effective methods for the determination of geographical origin of coffee samples. Spectroscopic techniques such as Nuclear Magnetic Resonance (NMR), near infrared (NIR), and mid-infrared (mIR) have arisen as strong candidates for the task. Although a body of work exists that reports on their individual performances, a faithful comparison has not been established yet. We evaluated the performance of 1H-NMR, Attenuated Total Reflectance mIR (ATR-mIR), and NIR applied to fraud detection in Colombian coffee. For each technique, we built classification models for discrimination by species (C. arabica versus C. canephora (or robusta)) and by origin (Colombia versus other C. arabica) using a common set of coffee samples. All techniques successfully discriminated samples by species, as expected. Regarding origin determination, ATR-mIR and 1H-NMR showed comparable capacity to discriminate Colombian coffee samples, while NIR fell short by comparison. In conclusion, ATR-mIR, a less common technique in the field of coffee adulteration and fraud detection, emerges as a strong candidate, faster and with lower cost compared to 1H-NMR and more discriminating compared to NIR.

scholarly journals In-line analysis of a fluid bed pellet coating process using a combination of near infrared and Raman spectroscopy

2010 ◽  
Vol 24 (7-8) ◽  
pp. 544-557 ◽  
Author(s):  
Andrey Bogomolov ◽  
Maximiliane Engler ◽  
Michael Melichar ◽  
Anthony Wigmore
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Coating Process ◽  
Infrared And Raman Spectroscopy ◽  
Fluid Bed ◽  
Line Analysis
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