The analysis of oat chemical properties using visible-near infrared spectroscopy

2016 ◽  
Vol 43 (5) ◽  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Chemical Properties

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.

Evaluation of chemical properties of intact green coffee beans using near‐infrared spectroscopy

2020 ◽  
Author(s):  
Leandro Macedo ◽  
Cintia Araújo ◽  
Wallaf Vimercati ◽  
Paulo Ricardo Hein ◽  
Carlos José Pimenta ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Chemical Properties ◽  
Green Coffee ◽  
Green Coffee Beans ◽  
Coffee Beans

Modeling Wood Crystallinity with Multiple Linear Regression

2011 ◽  
Vol 480-481 ◽  
pp. 550-555
Author(s):  
Yao Xiang Li ◽  
Li Chun Jiang
Keyword(s):  
Infrared Spectroscopy ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Model Development ◽  
Model Performance ◽  
Chemical Properties ◽  
Nondestructive Method ◽  
And Chemical Properties

The crystallinity of wood has an important effect on the physical, mechanical and chemical properties of cellulose fibers. Crystallinity of larch plantation wood was investigated with near infrared spectroscopy and multiple linear regression. Five typical wave lengths were selected to establish prediction model for wood crystallinity. Full-cross validation was applied to the model development. The model performance is satisfied with prediction correlation coefficient of 0.896 and bias of 0.0004. The results indicated that prediction of wood crystallinity with near infrared spectroscopy and multiple linear regression is feasible, which provides a fast and nondestructive method for wood crystallinity prediction.

Near-infrared spectroscopy enables the genetic analysis of chemical properties in a large set of wood samples from Populus nigra (L.) natural populations

2017 ◽  
Vol 107 ◽  
pp. 159-171 ◽  
Author(s):  
Mesfin Nigussie Gebreselassie ◽  
Kévin Ader ◽  
Nathalie Boizot ◽  
Frédéric Millier ◽  
Jean-Paul Charpentier ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Genetic Analysis ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Natural Populations ◽  
Chemical Properties ◽  
Populus Nigra ◽  
Large Set
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