A Preliminary Evaluation of near Infrared Spectroscopy for Assessing Physical and Chemical Characteristics of Flax Fibre

2000 ◽  
Vol 8 (1) ◽  
pp. 61-69 ◽  
Author(s):  
G.J. Faughey ◽  
H.S.S. Sharma
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Flax Fibre ◽  
Chemical Characteristics ◽  
Preliminary Evaluation ◽  
Physical And Chemical Characteristics ◽  
Physical And Chemical

scholarly journals Examination of wheat rheological characteristics by near-infrared spectroscopy

2012 ◽  
pp. 99-104
Author(s):  
Éva Kónya ◽  
Zoltán Győri
Keyword(s):  
Infrared Spectroscopy ◽  
Wheat Flour ◽  
Near Infrared Spectroscopy ◽  
Food Industry ◽  
Near Infrared ◽  
Chemical Properties ◽  
Rheological Characteristics ◽  
Physical And Chemical ◽  
Calibration Equations ◽  
And Chemical Properties

Near-infrared spectroscopy has many advantages that make it a widely used analitical method in the different areas, like agricultural and food industry as well. In wheat quality control rheological characteristics of dough made from wheat flour are as important as physical and chemical properties too. In this work we examined rheological properties of wheat flour samples by alveograph, and spectral data of the same samples were collected by FOSS Infratec 1241 instrument. Modified partial least squares analyses on NIR spectra were developed for two alveograph parameter (P/L és W) to get calibration equations.

Corrigendum to: Optimisation of dry matter and nutrients in feed rations through use of a near-infrared spectroscopy system mounted on a self-propelled feed mixer

2021 ◽  
Vol 61 (5) ◽  
pp. 540
Author(s):  
Ehab Mostafa ◽  
Philipp Twickler ◽  
Alexander Schmithausen ◽  
Christian Maack ◽  
Abdelkader Ghaly ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Crude Protein ◽  
Dry Matter ◽  
Near Infrared ◽  
Nutritional Composition ◽  
Preliminary Evaluation ◽  
Maize Silage ◽  
Nutrient Contents ◽  
Physical Form

Context Knowledge of the nutrient requirements of dairy cows, and the nutritional composition and physical form of the feed resources used to prepare the total mixed ration (TMR) of basic and concentrated feeds, is essential to achieving high milk yields, health and welfare in modern commercial herds. Grass and maize silage components can vary widely in composition depending on harvesting intervals and weather; thus, the distribution of dry matter (DM) and nutrients in silos may vary greatly, resulting in serious errors during sampling and analysis. In addition, the flow of information from the stored silage stops once the forages are stored in the silo. Aims The objective of this study was to develop a practical approach for measuring variations in DM and silage quality parameters (crude protein, fibre, ash and fat) during the feed-extraction process from a bunker silo by a self-propelled feed mixer, which would ultimately help farmers to optimise the TMR. Methods Near-infrared spectroscopy (NIRS) technology was used to estimate fodder DM and nutrient contents in the material flow. Wet chemical analyses were used for preliminary evaluation of grass and maize silage samples. A portable NIRS was developed to record the spectra of various silage samples. Key results The spans of calibration of sample DM content were 21.3–59.2% for grass and 26–46.7% for maize. Crude protein content had span values of 11.4–18.3% for the grass silage and 5.4–10.8% for the maize silage models. Conclusions NIRS technology was used successfully to estimate the DM and nutrient contents of the fodder. The location for the functional unit on the self-propelled feed mixer may need to be modified for series production because it is not fully accessible. Implications NIRS is a suitable method for measuring DM and nutrient contents continuously during feed extraction from the bunker silo and can be used to help farmers to optimise the TMR.

Chemical characteristics and mineral composition of quinoa by near-infrared spectroscopy

2013 ◽  
Vol 94 (5) ◽  
pp. 876-881 ◽  
Author(s):  
M Inmaculada González Martín ◽  
Guillermo Wells Moncada ◽  
Susana Fischer ◽  
Olga Escuredo
Keyword(s):  
Infrared Spectroscopy ◽  
Mineral Composition ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Chemical Characteristics
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