Determination of the Sodium Chloride Content of Sausages by near Infrared Spectroscopy

1993 ◽  
Vol 1 (2) ◽  
pp. 65-75 ◽  
Author(s):  
M.R. Ellekjær ◽  
K.I. Hildrum ◽  
T. Næs ◽  
T. Isaksson
Keyword(s):  
Infrared Spectroscopy ◽  
Sodium Chloride ◽  
Chemical Composition ◽  
Near Infrared ◽  
Chloride Content ◽  
Chemical Components ◽  
Prediction Errors ◽  
Comparable Accuracy ◽  
Potential Methods

Near infrared (NIR) reflectance and transmittance spectroscopy were studied as potential methods for determination of the sodium chloride (NaCl) content of sausages. Fifty-seven batches of sausages with varying chemical composition were produced. The NaCl content of the sausages varied between 1.4 and 2.2%. NIR reflectance and transmittance analyses were performed on both the sausage-mixes and the sausages. Comparable accuracy was achieved when performing the NIR analysis of either the sausage-mixes or the sausages. The NIR reflectance and transmittance methods were able to determine the NaCl content of the sausages with prediction errors of 0.04% and 0.07%, respectively. This suggests that both methods could be utilised for prediction of the NaCl content, in addition to the main chemical components of the sausages.

Near infrared spectroscopy to evaluate change in color and chemical composition in heat-treated bamboo

2020 ◽  
Vol 28 (4) ◽  
pp. 214-223
Author(s):  
Junqian Mo ◽  
Wenbo Zhang ◽  
Xiaohui Fu ◽  
Wei Lu
Keyword(s):  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Prediction Models ◽  
Chemical Components ◽  
Outer Side ◽  
Heating Process ◽  
Least Squares Regression ◽  
Heat Treated

This study investigated the feasibility of using near infrared spectroscopy technology to predict color and chemical composition in the heat-treated bamboo processing industry. The quantitative presentations of the changes in the chemical components were discussed using the difference spectra method of the 2nd derivative NIR spectra of the heat-treated bamboo samples. Then, the relationships between the color changes of the heat-treated bamboo and its near infrared spectra were constructed using the changes in the chemical components of the bamboo samples during the heating process. The prediction of color and chemical composition of both the outer and inner sides of the heat-treated bamboo surface were constructed using partial least squares regression method combined with a leave-one-out cross-validation process. Then, the results were validated by independent sample sets. The proposed prediction models were found to produce high r2P (above 0.93), RPD (above 3.13), and low RMSEP for both the outer and inner sides of the heat-treated bamboo samples. These studies’ results confirmed that the proposed models, especially outer side models, were perfectly suitable for the in-process inspections of the color and chemical content changes of heat-treated bamboo.

Determination of Methane Fermentation Yield and its Kinetics by near Infrared Spectroscopy and Chemical Composition in Maize

2011 ◽  
Vol 19 (6) ◽  
pp. 463-477 ◽  
Author(s):  
Christoph Grieder ◽  
Greta Mittweg ◽  
Baldev S. Dhillon ◽  
Juan M. Montes ◽  
Elena Orsini ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Methane Fermentation

Near-Infrared Spectroscopy in Saffron Quality Control:  Determination of Chemical Composition and Geographical Origin

2005 ◽  
Vol 53 (24) ◽  
pp. 9337-9341 ◽  
Author(s):  
Amaya Zalacain ◽  
Stella A. Ordoudi ◽  
Eva M. Díaz-Plaza ◽  
Manuel Carmona ◽  
Inmaculada Blázquez ◽  
...  
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Geographical Origin
Sign in / Sign up

Export Citation Format

Share Document