Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection

Geoderma ◽  
2014 ◽  
Vol 223-225 ◽  
pp. 88-96 ◽  
Author(s):  
M. Vohland ◽  
M. Ludwig ◽  
S. Thiele-Bruhn ◽  
B. Ludwig
2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata

2016 ◽  
Vol 175 ◽  
pp. 67-75 ◽  
Author(s):  
Dinesh B. Madhavan ◽  
Matt Kitching ◽  
Daniel S. Mendham ◽  
Christopher J. Weston ◽  
Thomas G. Baker

Data in Brief ◽  
2020 ◽  
Vol 30 ◽  
pp. 105615
Author(s):  
N. Albuquerque ◽  
B. Meehan ◽  
J. Hughes ◽  
A. Surapaneni

2019 ◽  
Vol 28 (1) ◽  
pp. 10-17
Author(s):  
Xuesong Liu ◽  
Siyu Zhang ◽  
Leting Si ◽  
Zhonglin Lin ◽  
Chunyan Wu ◽  
...  

Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.


2020 ◽  
Vol 329 ◽  
pp. 127142 ◽  
Author(s):  
Débora Gonçalves Carvalho ◽  
Lucas Ranzan ◽  
Luciane Ferreira Trierweiler ◽  
Jorge Otávio Trierweiler

Meat Science ◽  
2005 ◽  
Vol 69 (3) ◽  
pp. 433-440 ◽  
Author(s):  
Audun Flåtten ◽  
Eli A. Bryhni ◽  
Achim Kohler ◽  
Bjørg Egelandsdal ◽  
Tomas Isaksson

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