Simultaneous Determination of Fecal Fat, Nitrogen and Water by Fourier Transform near Infrared Reflectance Spectroscopy through a Polyethylene/Polyaminde Film

1998 ◽  
Vol 6 (A) ◽  
pp. A265-A272 ◽  
Author(s):  
Volker Neumeister ◽  
Werner Jaross ◽  
Jobst Henker ◽  
Georg Kaltenborn

The determination of fecal fat, nitrogen and water is important to get evidence for malassimilation and for estimating the efficacy of treatment with pancreatic enzymes. Standard methods for the determination of these parameters (van-de-Kamer method for fat determination, Kjeldahl method for nitrogen determination) are expensive, time-consuming and cumbersome for laboratory assistants. Near infrared (NIR) reflectance spectroscopy was evaluated as a potentially attractive alternative method, especially because the simultaneous measurement of fat, nitrogen and water content is possible. After homogenisation parts of stool samples were packed and thermowelded in a bag of polyethylene/polyamide (PE/PA) film to optimize the handling in the laboratory. Two optical systems were tested: 1. Fiber optic, In-Ga-As-detector, weavelength range 1000–2500 nm, area of measurement diameter 4–mm; 2. Integrating sphere, Ge-detector, wavelength range 1000–1800 nm, area of measurement diameter 10 mm. Forty stool samples were used for calibration, another 20 for validation from both healthy children and patients with cystic fibrosis in an age range from 5 to 18 years. The concentrations of fecal compounds were calculated using the chemometric Partial Least Square (PLS) method with the NIR reflectance spectroscopy measurement data. The calibration were carried out based on results of chemical analysis with standard methods. The regression equations of the external NIR reflectance spectroscopy validations were as follows: 1. for the fiber optic system: fat determination y = 0.9737x + 5.7261r = 0.989, nitrogen determination y = 1.0092x+0.0731 r = 0.933, water determination y = 0.9699x+2.0703 r = 0.993; 2. for the integrating sphere system: fat determination y = 1.0308x–1.6797 r = 0.998, nitrogen determination y = 0.9529x+0.5302 r = 0.959, water y = 1.0301x–1.8193 r = 0.993. The NIR reflectance spectroscopy method is a precise and alternative method for the determination of fecal fat, nitrogen and water. Moreover, handling is simple, time of analysis is short (4 minutes on average) and all calibrated constituents can be analyzed simultaneously. Therefore, we conclude that NIR reflectance spectroscopy is a reliable and useful method for analysis of fecal components in laboratory medicine.

1998 ◽  
Vol 6 (A) ◽  
pp. A303-A306 ◽  
Author(s):  
Henryk W. Czarnik-Matusewicz ◽  
Adolf Korniewicz

The near infrared (NIR) reflectance spectroscopy method can be used in the routine checking of the technical casein. All the chemical and physical characteristics of the product that influence the NIR spectrum affect the qualification. In order to monitor possible deviations in the preparation, it is advisable to carry out some test during the different manufacturing stages. These test are: determination of water, fat, ash, free and total acidity. A set of 66 ground casein samples was used to calibrate the output from NIR instrument InfraAlyzer 500 (Bran+Luebbe GmbH), taking reflectance readings every 2 nm between 1100 nm and 2500 nm. As soon as the spectral scanning had been completed, the casein samples were subjected to the standard wet chemistry analysis. The spectral data from this calibration set was then statistically manipulated using MLR method with the aid of the software SESAME ver. 2.10 (Bran+Luebbe GmbH) to generate calibration models. These calibrations were then applied to a separate set of 20 samples which, for validation purposes, were also analysed by wet chemistry. The casein samples analysis predictions compared with the wet chemistry results on these samples, with standard errors of determination of 0.1%, 0.2%, 0.2%, 0.2% and 0.5% for water, fat, ash, free and total acidity, respectively. The use of NIR instrumentation and appropriate calibrations is able to result in a significant saving of laboratory resources when large numbers of the technical casein samples are being processed for analysis.


Sign in / Sign up

Export Citation Format

Share Document