Determination of Soil Nitrate and Organic Matter Content Using Portable, Filter-Based Mid-Infrared Spectroscopy

2010 ◽  
pp. 143-152 ◽  
Author(s):  
B.R. Jahn ◽  
S.K. Upadhyaya
Keyword(s):  
Organic Matter ◽  
Infrared Spectroscopy ◽  
Organic Matter Content ◽  
Matter Content ◽  
Soil Nitrate ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata
Keyword(s):  
Infrared Spectroscopy ◽  
Raw Material ◽  
Material Source ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Predicting the decomposability of arctic tundra soil organic matter with mid infrared spectroscopy

2019 ◽  
Vol 129 ◽  
pp. 1-12 ◽  
Author(s):  
Roser Matamala ◽  
Julie D. Jastrow ◽  
Francisco J. Calderón ◽  
Chao Liang ◽  
Zhaosheng Fan ◽  
...  
Keyword(s):  
Organic Matter ◽  
Infrared Spectroscopy ◽  
Soil Organic Matter ◽  
Arctic Tundra ◽  
Tundra Soil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Arctic Tundra Soil

scholarly journals A small rainfall simulator for the determination of soil erodibility.

1987 ◽  
Vol 35 (3) ◽  
pp. 407-415 ◽  
Author(s):  
A. Kamphorst
Keyword(s):  
Organic Matter ◽  
Soil Conservation ◽  
Standard Procedure ◽  
Organic Matter Content ◽  
Clay Content ◽  
Matter Content ◽  
Soil Erodibility ◽  
Rainfall Simulator ◽  
Highly Sensitive

A small rainfall simulator is described, which can be used in the field as well as in the laboratory for the determination of infiltration and erosion characterisitcs of soils. It is particularly suitable for soil conservation surveys, as it is light to carry and easy to handle in the field. A description is given of a standard procedure for the determination of topsoil erodibilities in the field and some results are presented. The method appears to be highly sensitive to soil properties influencing soil erodibility, such as clay content, organic matter content and soil pH. (Abstract retrieved from CAB Abstracts by CABI’s permission)

scholarly journals Data for the Determination of Total Carbon in Biosolids using MID-Infrared Spectroscopy

Data in Brief ◽  
2020 ◽  
Vol 30 ◽  
pp. 105615
Author(s):  
N. Albuquerque ◽  
B. Meehan ◽  
J. Hughes ◽  
A. Surapaneni
Keyword(s):  
Infrared Spectroscopy ◽  
Total Carbon ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Diffuse-Reflectance Fourier-Transform Mid-Infrared Spectroscopy as a Method of Characterizing Changes in Soil Organic Matter

2013 ◽  
Vol 77 (5) ◽  
pp. 1591-1600 ◽  
Author(s):  
Francisco Calderón ◽  
Michelle Haddix ◽  
Richard Conant ◽  
Kimberly Magrini-Bair ◽  
Eldor Paul
Keyword(s):  
Organic Matter ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Soil Organic Matter ◽  
Diffuse Reflectance ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali

2019 ◽  
Vol 28 (1) ◽  
pp. 10-17
Author(s):  
Xuesong Liu ◽  
Siyu Zhang ◽  
Leting Si ◽  
Zhonglin Lin ◽  
Chunyan Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Radix Astragali ◽  
Astragaloside Iv ◽  
Active Components ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Models

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.

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